CN105046098A - Pregnant woman premature labor factor epidemiological investigation system - Google Patents
Pregnant woman premature labor factor epidemiological investigation system Download PDFInfo
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- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The invention discloses a pregnant woman premature labor factor epidemiological investigation system comprising one or a plurality of processors and a memory storing programs executed by the or the plurality of processors. The or the processors is or are respectively connected with memory, a data input module, a medical image analysis module, a data checking module and a data statistic module; the medical image analysis module is connected with an image scanner; the memory is connected with a display device and a wireless communication device; and the wireless communication device and a wireless printing device respectively communicates with a remote client. The beneficial effects of the pregnant woman premature labor factor epidemiological investigation system are that premature labor factors can be accurately logged by a clinic doctor or via voice conversion; great prevention measures can be taken in advance via reason analysis; the premature labor factors can be prevented to the largest extent; and newborn survival quality and social population quality can be improved and happiness can be brought to families.
Description
Technical field
The present invention relates to a kind of premature labor in pregnant women factor epidemiology survey system.
Background technology
Have the ratio of about 20-30% to be the premature in different pregnant week in severe morbidity of neonates, probability of its existence of pregnant Zhou Yue little is lower, because each allelotaxis of each system is immature, can occur multiple complications thus threat to life.The reason of premature labor in pregnant women is varied, and the health status of premature is also different, and the special relevant information of system to pregnant woman and premature of neither one carries out statistical study.
At present, all adopt manual entry or the mode of manually filling in realize for pregnant woman and the essential information of premature and the collection of health information, these modes implement bothersome effort, and information acquisition efficiency is very low, and can not gather relevant image information.Also may there is wrongly written or mispronounced characters in Data Enter process, be difficult to during input discover, usually cause a lot of ambiguity, time serious, even cause medical tangle.
And, the data that aforesaid way collects are all scattered information, do not carry out the Classifying Sum of data, when carrying out Premature and searching, often can not find useful information accurately timely and effectively from a large amount of fragmented informations, cause data search inefficiency.
In addition, fill in essential information data or after manual typing, also need pregnant woman scene to carry out the correctness of signature confirmation, remote information cannot be realized confirm, the remote transmission of data cannot be realized, the personnel understanding Premature are wanted for other, cannot Remote Acquisitioning data information.Very large trouble is brought to doctor and handicapped pregnant woman.
Further, doctor is after having gathered above-mentioned information, and pregnant woman needs to fill in various information form toward contact, and the information of these forms has repeatability more, needs repeatedly to fill in, and automatically cannot generate electrical form, waste a large amount of manpower and materials according to existing data message.
In a word, above-mentioned traditional information investigation mode exists that data acquisition efficiency is low, data accuracy is poor, can not gather image information, automatically can not generate electrical form, can not the shortcoming such as Remote Acquisitioning data message, is unfavorable for the universal of premature labor relevant knowledge.
Summary of the invention
For solving the deficiency that existing technology exists, the present invention proposes a kind of premature labor in pregnant women factor epidemiology survey system.This system can the reason of in real time typing premature labor in pregnant women and the basic health of pregnant woman and premature, and assist clinician to analyze the Premature of a certain area sometime in section by function of statistic analysis, pregnant woman is reminded to carry out prevention work in time, the incidence of premature labor is down to minimum as far as possible, improves neonatal survival rate and life quality.
To achieve these goals, the present invention adopts following technical scheme:
A kind of premature labor in pregnant women factor epidemiology survey system, comprising: one or more processor and the storer for storing the program performed by described one or more processor; Described processor is connected respectively with storer, data input module, medical image parsing module, data inquiry module and data statistics module; Described medical image parsing module is connected with image reading apparatus, and described storer is connected with display device and Wireless Telecom Equipment, and described Wireless Telecom Equipment communicates with Terminal Server Client respectively with wireless printing equipment;
Described storer comprise database for storing premature labor in pregnant women reason, for store pregnant woman's essential information database, for store newborn premature's essential information database, for storing database and the premature labor in pregnant women reply expert database of newborn premature's health condition;
Described processor receives the data of data input module, and the data received are stored to corresponding database; Processor receives the instruction of data inquiry module, transfers the data in associated databases and show according to the instruction received; Processor receives the statistics instruction of data statistics module, and transfer the corresponding data in associated databases, the number percent setting Premature in setting-up time section being accounted for all Prematures calculates and stores; Processor receives the data access request of Terminal Server Client, and the data transferred in associated databases return to Terminal Server Client.
Described data input module is for inputting the data message of pregnant woman's essential information, premature labor in pregnant women reason, newborn premature's essential information and newborn premature's health condition.
Described data input module comprises: phonetic entry submodule;
Described phonetic entry submodule comprises:
Collecting unit, for gathering the speech data of doctor's inquiry pregnant woman and premature's information, and is sent to text conversion unit;
Text conversion unit, for being converted into lteral data by speech data;
Error correction unit, for being compared with the medical terminology prestored by the text file after conversion, carries out medical terminology error correction;
Timestamp indexing unit, for the time of tagged speech collection event, formation time is stabbed;
Electrical form generation unit, the lteral data for transforming according to text conversion unit directly generates pregnant woman's basic condition data form;
Accuse and sign transmitting element, for according to timestamp, send to accuse to the pregnant woman of correspondence or the handheld client end of its family members and sign notice;
Described collecting unit, text conversion unit, error correction unit are connected successively with electrical form generation unit; Error correction unit is also connected with storer, for being stored to different databases respectively by after the Data classification collected; Described electrical form generation unit is by Wireless Telecom Equipment and wireless printing devices communicating; Electrical form generation unit is signed transmitting element with announcement and is connected; Described announcement is signed transmitting element and is communicated with Terminal Server Client, and described timestamp indexing unit is connected with processor.
Described text conversion unit comprises:
Pre-service subelement, it is for carrying out pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process to voice document, generates voice preprocessed file;
Feature extraction subelement, it, for carrying out extraction phonetic feature based on acoustic model to voice preprocessed file, obtains phonetic feature file; Acoustic model builds based on the english nouns of medicine dictionary, history medical history text and medicine.
Speech recognition subelement, it identifies phonetic feature file for adopting dynamic time warping algorithm, obtains speech analysis result;
And voice conversion module, it is dialect file for the voice document received when server, before pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process are carried out to voice document, according to the phonetics knowledge storehouse of presetting, itself and standard mandarin voice are carried out mating and transforming.
Described speech recognition subelement comprises cutting subelement and identifies merging subelement;
Cutting subelement, the dicing position occurred after exceeding the voice of preset length for each length in phonetic feature file carries out cutting, and described dicing position is the voice position of audio power lower than predetermined threshold value;
Identify and merge subelement, for adopting dynamic time warping algorithm to carry out speech recognition to every section of phonetic feature file of cutting respectively, and the result after identifying being merged, finally obtaining speech analysis result.
Described medical image parsing module, comprising:
Pretreatment unit, it is for carrying out pre-service to medical image files, and pixel each in pretreated medical image is changed into corresponding gray-scale value, generates gray level co-occurrence matrixes;
Texture feature extraction unit, it, for according to gray level co-occurrence matrixes, carries out texture feature extraction, obtains textural characteristics file;
Medical image match cognization unit, it, for mating with the medical features parameter library preset according to the textural characteristics file obtained, obtains medical science analysis result.
The Premature of same pregnant woman, pregnant woman's essential information, newborn premature's essential information and newborn premature's health condition data be stored to respectively accordingly for store premature labor in pregnant women reason database, for store pregnant woman's essential information database, for storing the database of newborn premature's essential information and the database for storing newborn premature's health condition; Same pregnant woman is stored in data between each database respectively can one_to_one corresponding, interrelated.
Processor receives the data access request of Terminal Server Client, transferring the database for storing premature labor in pregnant women reason, returning to Terminal Server Client for the data stored in the database of newborn premature's health condition and premature labor in pregnant women reply expert database.
Access rights are arranged to the database for storing pregnant woman's essential information and the database for storing newborn premature's essential information.
Described data statistics module sends the statistics instruction of setting Premature to processor, processor receives described instruction and transfers the data setting Premature in the database for storing premature labor in pregnant women reason, by described data be used for storing Prematures all in the database of premature labor in pregnant women reason and do ratio proccessing, obtain the number percent setting the shared total Premature of Premature.
The described database for storing premature labor in pregnant women reason, for storing premature labor in pregnant women reason, comprising: pregnant woman's reasons, fetal placenta reasons and other reasons;
Described pregnant woman's reasons data comprise: uterus overexpansion, cervical orifice incompetence, merge acute or chronic disease, merging uterine malformation, pregnancy complication, complications of pregnancy and other external factor;
Described fetal placenta reasons comprises: placental presentation and abruptio placentae, hydramnion or very few, multifetation, fetal anomaly, Intrauterine Fetal Death, abnormal fetal position, premature rupture of fetal membranes, chorioamnionitis and abnormality of umbilial cord;
Described other reasons comprises: life style, psychological factor, inherent cause, infection in pregnancy, premature rupture of fetal membranes, fetal anomaly, abnormal uterine and other unknown causes.
The described database for storing pregnant woman's essential information, for storing pregnant woman's essential information, comprising: pregnant woman's name, age, pregnant week, admission number and medical history;
The described database for storing newborn premature's essential information, for storing newborn premature's essential information, comprising: newborn premature's name, sex, pregnant week, mother's name and health status.
Described premature labor in pregnant women reply expert database, for the reason of premature labor in pregnant women, is inserted corresponding counter-measure in advance, is inquired about and carry out defensive measure in advance for Terminal Server Client.
Beneficial effect of the present invention:
(1) present system is by speech conversion accurate typing Premature data, automatically classifies to the data of typing and stores, and eliminate typing manually or fill in and the trouble of manual sorting, data inputting efficiency improves; Present system possesses manual input function simultaneously, and for the patient of language performance inconvenience, doctor manually can input according to actual conditions.
(2) present system scans pregnant inspection image information by image reading apparatus, and image information is changed into medical science analysis result, enables the person of searching have more intuitive understanding for Premature.
(3) the present invention also compares with the medical terminology prestored for by the text file after voice and medical image files conversion, carries out medical terminology error correction, reaches the effect of automatic error-correcting, data accuracy and treatment effeciency are all significantly improved.
(4) present system is by arranging Terminal Server Client, and make ready-to-be mothers can access this system at any time by Terminal Server Client, search Premature in time, carry out the precautionary measures in advance, real-time property is high.
(5) present system passes through data divided data library storage and arranges access rights, effectively protects the personal information of puerpera and newborn infant, and data security improves.
(6) clinician can generate relevant form automatically according to electronic data information, and electrical form generation unit can directly print by association prints machine, avoids the trouble of manually filling up a form.The list data of generation is sent to remote pregnant women client simultaneously and carries out announcement label, pregnant woman can carry out signature at any time by Terminal Server Client and confirm, avoids the on-the-spot trouble confirmed.
Accompanying drawing explanation
Fig. 1 is system architecture schematic diagram of the present invention;
Fig. 2 is phonetic entry sub modular structure schematic diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment, the present invention is described further.
A kind of premature labor in pregnant women factor epidemiology survey system, as shown in Figure 1, comprising:
One or more processor and the storer for storing the program performed by described one or more processor;
Processor is connected respectively with storer, data input module, medical image parsing module, data inquiry module and data statistics module; Medical image parsing module is connected with image reading apparatus, and storer is connected with display device and Wireless Telecom Equipment, and described Wireless Telecom Equipment communicates with Terminal Server Client respectively with wireless printing equipment;
Storer comprise database for storing premature labor in pregnant women reason, for store pregnant woman's essential information database, for store newborn premature's essential information database, for storing database and the premature labor in pregnant women reply expert database of newborn premature's health condition;
For storing the database of premature labor in pregnant women reason for storing premature labor in pregnant women reason, comprising: pregnant woman's reasons, fetal placenta reasons and other reasons;
Pregnant woman's reasons data comprise: uterus overexpansion, cervical orifice incompetence, merge acute or chronic disease, merging uterine malformation, pregnancy complication, complications of pregnancy and other external factor;
Fetal placenta reasons comprises: placental presentation and abruptio placentae, hydramnion or very few, multifetation, fetal anomaly, Intrauterine Fetal Death, abnormal fetal position, premature rupture of fetal membranes, chorioamnionitis and abnormality of umbilial cord;
Other reasons comprises: life style, psychological factor, inherent cause, infection in pregnancy, premature rupture of fetal membranes, fetal anomaly, abnormal uterine and other unknown causes.
For Premature, be specifically classified as follows:
Pregnant woman aspect:
1, uterus overexpansion: Twins or Multiplets gestation, hydramnion can make internal pressure of uterine cavity power high, just before giving birth premature labor occurs ahead of time.
2, cervical orifice incompetence: premature rupture of fetal membranes occurs and causes premature labor.
3, acute or chronic disease is merged, as virus hepatitis, acute nephritis or pyelonephritis, acute appendicitis, viral pneumonia, high heat, the acute illnesss such as rubella, heart disease, diabetes, severe anemia, hyperthyroidism, high blood pressure, the chronic diseases such as asymptomatic bacteriuria.
4, merge uterine malformation (as uterus bicornis, uterus septus), cervix is loose, fibroid.
5, pregnancy complication: gestation merges chronic nephritis, pregnancy associated with cardiac disease, Hepatitis during Pregnancy and gestation merge lupus erythematosus etc., and on the one hand because internal medicine complication all can cause mother's Global ischemia anoxic, placental perfusion amount is also not enough, easily brings out premature labor; On the other hand, the seriousness of disease brings danger to mother, in order to safe motherhood causes iatrogenic preterm labor in certain region.
6, complications of pregnancy: placental presentation, abruptio placentae, pregnancy-induced hypertension syndrome, intrahepatic cholestasis of pregnancy.
7, smoking, takes drugs, alcoholism, severe malnutrition.
8, other, as long-distance travel, weather convert, area, inhabitation plateau, family move, the spiritual physical loads such as mood big ups and downs, belly directly clashes into, wound, sexual intercourse or operation technique stimulation etc.
Fetal placenta aspect:
1, placental presentation and abruptio placentae.
2, hydramnion or very few, multifetation.
3, fetal anomaly, Intrauterine Fetal Death, abnormal fetal position.
4, premature rupture of fetal membranes, chorioamnionitis.
5. abnormality of umbilial cord: cord round the neck or torsion, knotting etc.
Other:
1, life style
Smoking, malnutritive, pregnancy period body weight increase less and use cocaine or ethanol etc. premature labor and FGR are played an important role, pregnant sexual intercourse overfrequency in late period can cause premature labor, other factors comprise pregnant woman age too small (<18 year), excessive (>40 year), underweight (<45kg crosses short height <150cm and strong physical work person).
2, psychological factor
Psychological stress and premature labor have direct relation, as family is inharmonious, detest child, and economic condition difference etc. all can have a strong impact on the mood of pregnant woman, causes premature labor.
3, inherent cause
The danger having the women of premature labor history not only oneself to have premature labor to recur, and its children are also passed in this danger.
4, infection in pregnancy
(1) chorio-amnion infects: the very major reason being premature labor.
(2) non-infectious diseases in genital tract: as pyelonephritis, pneumonia, malaria, the exothermic reaction of influenza etc., can cause uterine contraction.
5, premature rupture of fetal membranes
In premature labor 57% be occur in premature rupture of fetal membranes after, especially accompanying infection person after premature rupture of fetal membranes, premature labor chance of occurrence is larger.
6, fetal anomaly
Premature Birth ratio of defects is 3.0%, and wherein mortality deformity accounts for 73.41%.
7, abnormal uterine
(1) uterine malformation: as uterus unicornis, uterus duplex, uterine septum etc.
(2) uterus overexpansion: as Twins or Multiplets, hydramnion all can make intrauterine pressure increase, so that premature labor occurs.
(3) uterine neck internal orifice incompetence: cause cervical lesions or ripper the bad patient of congenital cervical dysplasias and a variety of causes, uterine neck sphincter sample function is weak, causes rupture of membranes and premature labor.
8, unknown cause is all difficult clear and definite reason.
Above reason can arrange into drop-down menu formula, and doctor can utilize mouse to select, and to save time, raises the efficiency.
For storing the database of pregnant woman's essential information for storing pregnant woman's essential information, comprising: pregnant woman's name, age, pregnant week, admission number and medical history.
For storing the database of newborn premature's essential information for storing newborn premature's essential information, comprising: newborn premature's name, sex, pregnant week, mother's name and health status.
Premature labor in pregnant women reply expert database, for the reason of premature labor in pregnant women, is inserted corresponding counter-measure in advance, is inquired about and carry out defensive measure in advance for Terminal Server Client.
The Premature of same pregnant woman, pregnant woman's essential information, newborn premature's essential information and newborn premature's health condition data be stored to respectively accordingly for store premature labor in pregnant women reason database, for store pregnant woman's essential information database, for storing the database of newborn premature's essential information and the database for storing newborn premature's health condition; Same pregnant woman is stored in data between each database respectively can one_to_one corresponding, interrelated.
In order to protect the personal information of pregnant woman and newborn premature, access rights are arranged to the database for storing pregnant woman's essential information and the database for storing newborn premature's essential information.Only have the doctor in charge or pregnant woman itself etc. to have the client of access rights or account can carry out data access to above-mentioned two databases, realize the data correlation between different pieces of information database data simultaneously.Other Terminal Server Clients or data query end only can inquire about database for storing premature labor in pregnant women reason, for storing the data in the database of newborn premature's health condition and premature labor in pregnant women reply expert database, and realize the association of premature labor in pregnant women reason and newborn premature's health condition data, but the association of pregnant woman and neonate's essential information can not be carried out.
Processor is for receiving the instruction of data input module, data inquiry module and data statistics module and performing corresponding operation; Specifically comprise: processor receives the data of data input module, is respectively stored to corresponding database after classifying to data.Processor receives the query statement of data inquiry module or Terminal Server Client, transferring database for storing premature labor in pregnant women reason according to query statement, for storing the data in the database of newborn premature's health condition or premature labor in pregnant women reply expert database, and Query Result being back to inquiry and holding and show.
Processor receives the statistics instruction of data statistics module, and transfer the corresponding data in storer, the number percent setting Premature in setting-up time section being accounted for all Prematures calculates and stores.Concrete methods of realizing is: described data statistics module sends the statistics instruction of setting Premature to processor, processor receives described instruction and transfers the data setting Premature in the database for storing premature labor in pregnant women reason, by described data be used for storing Prematures all in the database of premature labor in pregnant women reason and do ratio proccessing, obtain the number percent setting the shared total Premature of Premature.
Data input module comprises: manually input submodule and phonetic entry submodule;
Manual input submodule completes data input mainly through manual input device such as keyboards.
As shown in Figure 2, phonetic entry submodule comprises:
Collecting unit, for gathering the speech data of doctor's inquiry pregnant woman and premature's information, and is sent to text conversion unit;
Text conversion unit, for being converted into lteral data by speech data;
Error correction unit, for being compared with the medical terminology prestored by the text file after conversion, carries out medical terminology error correction;
Timestamp indexing unit, for the time of tagged speech collection event, formation time is stabbed;
Electrical form generation unit, the lteral data for transforming according to text conversion unit directly generates pregnant woman's basic condition data form; Spreadsheet information comprises: check data, pregnant week, body weight, blood pressure, Gong Gao, abdominal circumference, the position of foetus, Fetal Heart Rate, haemoglobin, with or without albuminuria, with or without oedema, with or without any discomfort sensation such as uncomfortable in chest, dizzy, any pathological obstetrics situation as complicated hypertension, diabetes, anaemia, immunity disease, disease in the blood system, heart disease etc.
Accuse and sign transmitting element, for according to timestamp, send to accuse to the pregnant woman of correspondence or the handheld client end of its family members and sign notice;
Collecting unit, text conversion unit, error correction unit are connected successively with electrical form generation unit; Error correction unit is also connected with storer, for being stored to different databases respectively by after the Data classification collected; Electrical form generation unit is by Wireless Telecom Equipment and wireless printing devices communicating; Electrical form generation unit is signed transmitting element with announcement and is connected, and accuse label transmitting element and communicate with Terminal Server Client, described timestamp indexing unit is connected with processor.The electrical form of generation being signed by accusing the hand-held Terminal Server Client that transmitting element is sent to pregnant woman, after pregnant woman is errorless by Terminal Server Client cross-check information, returning confirmation instruction.If mistake appears in form data, then by the false command of client return data, after reaffirming data by doctor, generate new electrical form.
Text conversion unit comprises:
Pre-service subelement, it is for carrying out pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process to voice document, generates voice preprocessed file;
Feature extraction subelement, it, for carrying out extraction phonetic feature based on acoustic model to voice preprocessed file, obtains phonetic feature file; Acoustic model builds based on the english nouns of medicine dictionary, history medical history text and medicine.
Speech recognition subelement, it identifies phonetic feature file for adopting dynamic time warping algorithm, obtains speech analysis result.
And voice conversion module, it is dialect file for the voice document received when server, before pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process are carried out to voice document, according to the phonetics knowledge storehouse of presetting, itself and standard mandarin voice are carried out mating and transforming.
Wherein, speech recognition subelement comprises cutting subelement and identifies merging subelement;
Cutting subelement, the dicing position occurred after exceeding the voice of preset length for each length in phonetic feature file carries out cutting, and described dicing position is the voice position of audio power lower than predetermined threshold value;
Identify and merge subelement, for adopting dynamic time warping algorithm to carry out speech recognition to every section of phonetic feature file of cutting respectively, and the result after identifying being merged, finally obtaining speech analysis result.
Text conversion unit is resolved the voice document received, and detailed process comprises:
Pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process are carried out to voice document, generates voice preprocessed file;
Based on acoustic model, extraction phonetic feature is carried out to voice preprocessed file, obtain phonetic feature file; Acoustic model builds based on the english nouns of medicine dictionary, history medical history text and medicine.
Adopt dynamic time warping algorithm to identify phonetic feature file, obtain speech analysis result.
Wherein, in the process of resolve voice document, conventional sample frequency is 8KHz, 10KHz and 16KHz; Voice document will carry out pre-filtering process before sampling, its objective is and suppresses important more than the institute of fs/2 in each frequency of signal and suppress the interference of 50Hz AC power.
Voice signal is a kind of typical non-stationary signal, but voice signal spectral characteristic held stationary at short notice, namely there is short-term stationarity characteristic.Therefore, in order to keep the short-term stationarity of voice signal, utilize window function to reduce the Gibbs effect caused by truncation.Conventional window function comprises rectangular window, Hamming window and Hanning window.
Detection for sound end adopts finds out word, the starting point of word and end point from a segment signal of voice, thus the only effective voice signal of Storage and Processing.Conventional end-point detecting method is short-time energy short-time zero-crossing rate double threshold end-point detection.
For the frequency spectrum of voice signal, normally more amplitude is less for frequency, when the frequency of voice signal increases twice, and the amplitude decline 6dB of its power spectrum.Therefore, process must be increased the weight of to high frequency, by voice signal by a single order Hi-pass filter, be preemphasis filter.Its objective is the Hz noise of filtering low-frequency disturbance, particularly 50 to 60 hz, more useful HFS is resolved for speech recognition and carries out frequency spectrum lifting.
Dynamic time warping algorithm is adopted to carry out speech recognition, the method finds a warping function, the time shaft of test vector is non-linearly mapped on the time shaft of reference template, and Cumulative Distance minimum corresponding warping function when making this two vector matching, for ensureing the maximum Acoustic Similarity that exists between these two vectors.The voice document received when server is dialect file, before pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process are carried out to voice document, according to the phonetics knowledge storehouse of presetting, itself and standard mandarin voice are carried out mating and transforming.
Adopt the process that dynamic time warping algorithm identifies phonetic feature file, the dicing position that each length be included in phonetic feature file occurs after exceeding the voice of preset length carries out cutting, and described dicing position is the voice position of audio power lower than predetermined threshold value; Adopt dynamic time warping algorithm to carry out speech recognition to every section of phonetic feature file of cutting respectively, and the result after identifying is merged, finally obtain speech analysis result.
By the image information that image reading apparatus scanning is relevant to premature labor, such as: the B ultrasonic image etc. in pregnant women inspection process, sends the image of scanning to medical image parsing module.Medical image parsing module specifically comprises:
Pretreatment unit, it is for carrying out pre-service to medical image files, and pixel each in pretreated medical image is changed into corresponding gray-scale value, generates gray level co-occurrence matrixes;
Texture feature extraction unit, it, for according to gray level co-occurrence matrixes, carries out texture feature extraction, obtains textural characteristics file;
Medical image match cognization unit, it, for mating with the medical features parameter library preset according to the textural characteristics file obtained, obtains medical science analysis result.
The image analysis result finally obtained is stored to database for storing premature labor in pregnant women reason for inquiry, Data classification relevant to pregnant woman and premature's essential information in image information is stored to the database for storing pregnant woman's essential information and is used for storing the database of premature's essential information, so that maintain secrecy to pregnant woman and premature's information.
In system use procedure, first input infant general information, as name, sex, pregnant week, admission number, maternal age, condition, medical diagnosis on disease etc.Next selects Premature, finally, after the premature labor infant Data Enter of (such as 1 year or 2 years) in a period of time, carry out causality classification, Premature can arrange according to the generation frequency from high to low or from low to high, number percent can be calculated simultaneously, such display is very clear, be conducive to clinician and analyze the Premature of a certain area sometime in section, Terminal Server Client can real-time query Premature and premature labor counter-measure, the incidence of premature labor is down to minimum as far as possible, improves neonatal survival rate and life quality.
By reference to the accompanying drawings the specific embodiment of the present invention is described although above-mentioned; but not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various amendment or distortion that creative work can make still within protection scope of the present invention.
Claims (10)
1. a premature labor in pregnant women factor epidemiology survey system, is characterized in that, comprising: one or more processor and the storer for storing the program performed by described one or more processor; Described processor is connected respectively with storer, data input module, medical image parsing module, data inquiry module and data statistics module; Described medical image parsing module is connected with image reading apparatus, and described storer is connected with display device and Wireless Telecom Equipment, and described Wireless Telecom Equipment communicates with Terminal Server Client respectively with wireless printing equipment;
Described storer comprise database for storing premature labor in pregnant women reason, for store pregnant woman's essential information database, for store newborn premature's essential information database, for storing database and the premature labor in pregnant women reply expert database of newborn premature's health condition;
Described processor receives the data of data input module, and the data received are stored to corresponding database; Processor receives the instruction of data inquiry module, transfers the data in associated databases and show according to the instruction received; Processor receives the statistics instruction of data statistics module, and transfer the corresponding data in associated databases, the number percent setting Premature in setting-up time section being accounted for all Prematures calculates and stores; Processor receives the data access request of Terminal Server Client, and the data transferred in associated databases return to Terminal Server Client.
2. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 1, it is characterized in that, described data input module comprises: phonetic entry submodule;
Described phonetic entry submodule comprises:
Collecting unit, for gathering the speech data of doctor's inquiry pregnant woman and premature's information, and is sent to text conversion unit;
Text conversion unit, for being converted into lteral data by speech data;
Error correction unit, for being compared with the medical terminology prestored by the text file after conversion, carries out medical terminology error correction;
Timestamp indexing unit, for the time of tagged speech collection event, formation time is stabbed;
Electrical form generation unit, the lteral data for transforming according to text conversion unit directly generates pregnant woman's basic condition data form;
Accuse and sign transmitting element, for according to timestamp, send to accuse to the pregnant woman of correspondence or the handheld client end of its family members and sign notice;
Described collecting unit, text conversion unit, error correction unit are connected successively with electrical form generation unit; Error correction unit is also connected with storer, for being stored to different databases respectively by after the Data classification collected; Described electrical form generation unit is by Wireless Telecom Equipment and wireless printing devices communicating; Electrical form generation unit is signed transmitting element with announcement and is connected; Described announcement is signed transmitting element and is communicated with Terminal Server Client, and described timestamp indexing unit is connected with processor.
3. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 2, it is characterized in that, described text conversion unit comprises:
Pre-service subelement, it is for carrying out pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process to voice document, generates voice preprocessed file;
Feature extraction subelement, it, for carrying out extraction phonetic feature based on acoustic model to voice preprocessed file, obtains phonetic feature file; Acoustic model builds based on the english nouns of medicine dictionary, history medical history text and medicine.
Speech recognition subelement, it identifies phonetic feature file for adopting dynamic time warping algorithm, obtains speech analysis result;
And voice conversion module, it is dialect file for the voice document received when server, before pre-filtering, sampling and Quantifying, windowing, end-point detection and pre-emphasis process are carried out to voice document, according to the phonetics knowledge storehouse of presetting, itself and standard mandarin voice are carried out mating and transforming.
4. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 3, is characterized in that, described speech recognition subelement comprises cutting subelement and identifies merging subelement;
Cutting subelement, the dicing position occurred after exceeding the voice of preset length for each length in phonetic feature file carries out cutting, and described dicing position is the voice position of audio power lower than predetermined threshold value;
Identify and merge subelement, for adopting dynamic time warping algorithm to carry out speech recognition to every section of phonetic feature file of cutting respectively, and the result after identifying being merged, finally obtaining speech analysis result.
5. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 1, it is characterized in that, described medical image parsing module, comprising:
Pretreatment unit, it is for carrying out pre-service to medical image files, and pixel each in pretreated medical image is changed into corresponding gray-scale value, generates gray level co-occurrence matrixes;
Texture feature extraction unit, it, for according to gray level co-occurrence matrixes, carries out texture feature extraction, obtains textural characteristics file;
Medical image match cognization unit, it, for mating with the medical features parameter library preset according to the textural characteristics file obtained, obtains medical science analysis result.
6. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 1, it is characterized in that, the Premature of same pregnant woman, pregnant woman's essential information, newborn premature's essential information and newborn premature's health condition data be stored to respectively accordingly for store premature labor in pregnant women reason database, for store pregnant woman's essential information database, for storing the database of newborn premature's essential information and the database for storing newborn premature's health condition; Same pregnant woman is stored in data between each database respectively can one_to_one corresponding, interrelated.
7. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 1, is characterized in that, arranging access rights to the database for storing pregnant woman's essential information and the database for storing newborn premature's essential information.
8. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 1, it is characterized in that, described data statistics module sends the statistics instruction of setting Premature to processor, processor receives described instruction and transfers the data setting Premature in the database for storing premature labor in pregnant women reason, by described data be used for storing Prematures all in the database of premature labor in pregnant women reason and do ratio proccessing, obtain the number percent setting the shared total Premature of Premature.
9. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 1, it is characterized in that, the described database for storing premature labor in pregnant women reason, for storing premature labor in pregnant women reason, comprising: pregnant woman's reasons, fetal placenta reasons and other reasons;
Described pregnant woman's reasons data comprise: uterus overexpansion, cervical orifice incompetence, merge acute or chronic disease, merging uterine malformation, pregnancy complication, complications of pregnancy and other external factor;
Described fetal placenta reasons comprises: placental presentation and abruptio placentae, hydramnion or very few, multifetation, fetal anomaly, Intrauterine Fetal Death, abnormal fetal position, premature rupture of fetal membranes, chorioamnionitis and abnormality of umbilial cord;
Described other reasons comprises: life style, psychological factor, inherent cause, infection in pregnancy, premature rupture of fetal membranes, fetal anomaly, abnormal uterine and other unknown causes.
10. a kind of premature labor in pregnant women factor epidemiology survey system as claimed in claim 1, it is characterized in that, the described database for storing pregnant woman's essential information, for storing pregnant woman's essential information, comprising: pregnant woman's name, age, pregnant week, admission number and medical history;
The described database for storing newborn premature's essential information, for storing newborn premature's essential information, comprising: newborn premature's name, sex, pregnant week, mother's name and health status.
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