CN114366130A - Myoelectric evoked potential meter based on tremor analysis - Google Patents
Myoelectric evoked potential meter based on tremor analysis Download PDFInfo
- Publication number
- CN114366130A CN114366130A CN202210146445.5A CN202210146445A CN114366130A CN 114366130 A CN114366130 A CN 114366130A CN 202210146445 A CN202210146445 A CN 202210146445A CN 114366130 A CN114366130 A CN 114366130A
- Authority
- CN
- China
- Prior art keywords
- module
- signal
- myoelectric
- evoked potential
- transmission module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 29
- 206010044565 Tremor Diseases 0.000 title claims abstract description 28
- 230000000763 evoking effect Effects 0.000 title claims abstract description 20
- 230000003183 myoelectrical effect Effects 0.000 title claims description 26
- 230000001133 acceleration Effects 0.000 claims abstract description 36
- 230000005540 biological transmission Effects 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 230000000638 stimulation Effects 0.000 claims abstract description 15
- 238000004891 communication Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 4
- 230000003321 amplification Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 3
- 238000002567 electromyography Methods 0.000 abstract description 29
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 11
- 201000010099 disease Diseases 0.000 abstract description 9
- 208000018737 Parkinson disease Diseases 0.000 abstract description 8
- 208000024891 symptom Diseases 0.000 abstract description 3
- 238000003745 diagnosis Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 3
- 239000003814 drug Substances 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 210000003414 extremity Anatomy 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 208000016354 hearing loss disease Diseases 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 208000014644 Brain disease Diseases 0.000 description 1
- 206010011878 Deafness Diseases 0.000 description 1
- 208000012902 Nervous system disease Diseases 0.000 description 1
- 208000025966 Neurological disease Diseases 0.000 description 1
- 208000028571 Occupational disease Diseases 0.000 description 1
- 208000009205 Tinnitus Diseases 0.000 description 1
- 206010047571 Visual impairment Diseases 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000003042 antagnostic effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 231100000895 deafness Toxicity 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 208000035475 disorder Diseases 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 210000003141 lower extremity Anatomy 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000007659 motor function Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000000399 orthopedic effect Effects 0.000 description 1
- 208000020016 psychiatric disease Diseases 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 231100000886 tinnitus Toxicity 0.000 description 1
- 210000001364 upper extremity Anatomy 0.000 description 1
- 208000029257 vision disease Diseases 0.000 description 1
- 230000004393 visual impairment Effects 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
- A61B5/1101—Detecting tremor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
- A61B5/395—Details of stimulation, e.g. nerve stimulation to elicit EMG response
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
- A61B5/4082—Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Veterinary Medicine (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Surgery (AREA)
- Physiology (AREA)
- Signal Processing (AREA)
- Neurology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Psychiatry (AREA)
- Neurosurgery (AREA)
- Developmental Disabilities (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
本发明提供一种基于震颤分析的肌电诱发电位仪,包括一刺激模块、一采集装置、一报警装置、一信号处理装置、一电源模块、一控制器模块、一无线传输模块和上位机;所述刺激模块与一被检测人人体的检测部位接触;所述采集装置安装于所述被检测人的皮肤表面;所述采集装置、所述报警装置、所述信号处理装置和所述控制器模块依次连接;所述控制器模块还连接所述电源模块和所述无线传输模块;所述无线传输模块连接所述上位机。本发明的一种基于震颤分析的肌电诱发电位仪,通过采集皮肤表面的肌电信号和加速度信号,生成肌电图和进行震颤分析来确定患者的症状,用于判断是否得了帕金森病或其他类型疾病,及时发现,及时治疗。
The invention provides an electromyography evoked potential instrument based on tremor analysis, comprising a stimulation module, a collection device, an alarm device, a signal processing device, a power supply module, a controller module, a wireless transmission module and a host computer; The stimulation module is in contact with a detection part of the human body to be detected; the acquisition device is installed on the skin surface of the detected person; the acquisition device, the alarm device, the signal processing device and the controller The modules are connected in sequence; the controller module is also connected to the power supply module and the wireless transmission module; the wireless transmission module is connected to the upper computer. An electromyographic evoked potential instrument based on tremor analysis of the present invention determines the symptoms of a patient by collecting electromyographic signals and acceleration signals on the skin surface, generating electromyograms and performing tremor analysis, and is used to judge whether Parkinson's disease or not has Parkinson's disease or not. Other types of diseases, timely detection and timely treatment.
Description
技术领域technical field
本发明涉及医疗器械领域,尤其涉及一种基于震颤分析的肌电诱发电位仪。The invention relates to the field of medical devices, in particular to a myoelectric evoked potential instrument based on tremor analysis.
背景技术Background technique
肌电诱发电位仪是临床应用分析与检查脑疾病的重要检查设备,对于临床科学研究、医学诊断、神经科学研究以及康复医学都具有重要的意义。能够对神经性疾病、耳聋、耳鸣、听力受损、视力障碍等进行检查和研究,目前在临床上运用的科室有神经内科、耳科、眼科、骨科、职业病及运动医学等。Myoelectric evoked potential instrument is an important inspection equipment for clinical application analysis and inspection of brain diseases, which is of great significance to clinical scientific research, medical diagnosis, neuroscience research and rehabilitation medicine. It can inspect and study neurological diseases, deafness, tinnitus, hearing impairment, visual impairment, etc. Currently, the clinical departments include neurology, otology, ophthalmology, orthopedics, occupational diseases and sports medicine.
肌电诱发电位仪的功能还不强大,对于一些病情还不能做到诊断。The function of electromyographic evoked potential instrument is not strong enough, and it cannot be diagnosed for some diseases.
目前,世界上的帕金森患者已经超过了1000万人,而我国的帕金森患者则超过了500万,占据了患者人数的二分之一。能够使患者肢体变得僵硬,逐渐的失去运动功能,并且由于动作的失调,能够使患者产生心理障碍和智力减损,并导致免疫力下降。其发病隐匿性较强,早期患者并没有明显的症状,对患者进行各方面的检测也很难发现异常,以至于很难发现。At present, the number of Parkinson's patients in the world has exceeded 10 million, and the number of Parkinson's patients in my country has exceeded 5 million, accounting for one-half of the number of patients. It can make the patient's limbs become stiff, gradually lose motor function, and due to the disorder of movement, it can cause the patient to have psychological disorders and intellectual impairment, and lead to a decline in immunity. Its onset is relatively insidious, and early patients do not have obvious symptoms, and it is difficult to detect abnormalities in all aspects of patients, so it is difficult to detect.
目前对于帕金森病患者的诊断主要依靠统一帕金森病评定量表,通过医生和患者双方的评估打分,实现对病情的评价。评分越高则表示患病越严重,这种方法存在很大的主观性,结果需要由医生评定,最后的得分可能和实际的病情严重程度存在较大差异,不利与治疗。因此设计一款能够检测帕金森病的仪器是很有必要的。At present, the diagnosis of patients with Parkinson's disease mainly relies on the unified Parkinson's disease rating scale, and the evaluation of the condition is achieved through the evaluation and scoring of both doctors and patients. The higher the score, the more severe the disease. This method is highly subjective, and the results need to be evaluated by a doctor. The final score may be quite different from the actual severity of the disease, which is not conducive to treatment. Therefore, it is necessary to design a device that can detect Parkinson's disease.
发明内容SUMMARY OF THE INVENTION
针对上述现有技术中的不足,本发明提供一种基于震颤分析的肌电诱发电位仪,通过采集皮肤表面的肌电信号和加速度信号,生成肌电图和进行震颤分析来确定患者的症状,用于判断是否得了帕金森病或其他类型疾病,及时发现,及时治疗。In view of the above-mentioned deficiencies in the prior art, the present invention provides an electromyography evoked potential instrument based on tremor analysis, which determines the symptoms of a patient by collecting electromyography signals and acceleration signals on the skin surface, generating electromyograms and performing tremor analysis, It is used to determine whether you have Parkinson's disease or other types of diseases, and to detect and treat in time.
为了实现上述目的,本发明提供一种基于震颤分析的肌电诱发电位仪,包括一刺激模块、一采集装置、一报警装置、一信号处理装置、一电源模块、一控制器模块、一无线传输模块和上位机;所述刺激模块与一被检测人人体的检测部位接触;所述采集装置安装于所述被检测人的皮肤表面;所述采集装置、所述报警装置、所述信号处理装置和所述控制器模块依次连接;所述控制器模块还连接所述电源模块和所述无线传输模块;所述无线传输模块连接所述上位机。In order to achieve the above purpose, the present invention provides an electromyography evoked potential instrument based on tremor analysis, including a stimulation module, a collection device, an alarm device, a signal processing device, a power supply module, a controller module, and a wireless transmission module and a host computer; the stimulation module is in contact with a detection part of the human body to be detected; the acquisition device is installed on the skin surface of the detected person; the acquisition device, the alarm device, and the signal processing device connected to the controller module in sequence; the controller module is also connected to the power supply module and the wireless transmission module; the wireless transmission module is connected to the upper computer.
优选地,所述采集装置包括:Preferably, the collection device includes:
一采集模块,用于采集皮肤表面的肌电信号和加速度信号;an acquisition module, which is used to acquire the EMG signal and acceleration signal on the skin surface;
一数据存储模块,用于存储所述肌电信号和加速度信号;和a data storage module for storing the myoelectric signal and the acceleration signal; and
一第一数据传输模块,用于将所述肌电信号和所述加速度信号传输给所述报警装置。A first data transmission module for transmitting the myoelectric signal and the acceleration signal to the alarm device.
优选地,所述报警装置包括:Preferably, the alarm device includes:
一检测模块,用于检测是否收到所述肌电信号和所述加速度信号;a detection module for detecting whether the electromyographic signal and the acceleration signal are received;
一报警模块,用于在所述检测模块判断未收到所述肌电信号和所述加速度信号时发出警报;和an alarm module, configured to issue an alarm when the detection module determines that the myoelectric signal and the acceleration signal are not received; and
一第二数据传输模块,用于在所述检测模块判断收到所述肌电信号和所述加速度信号后,将所述肌电信号和所述加速度信号发送给所述信号处理装置。A second data transmission module, configured to send the myoelectric signal and the acceleration signal to the signal processing device after the detection module determines that the myoelectric signal and the acceleration signal are received.
优选地,所述信号处理装置包括:Preferably, the signal processing device includes:
一数据处理模块,用于对所述肌电信号进行三级放大和高通滤波处理;和a data processing module for performing three-stage amplification and high-pass filtering processing on the EMG signal; and
一第三数据传输模块,用于将处理后的所述肌电信号和所述加速度信号发送给所述控制器模块。A third data transmission module, configured to send the processed EMG signal and the acceleration signal to the controller module.
优选地,所述无线传输模块包括蓝牙,用于通过所述蓝牙与所述上位机进行无线通讯。Preferably, the wireless transmission module includes bluetooth, which is used for wireless communication with the upper computer through the bluetooth.
优选地,所述电源模块用于对设备供电。Preferably, the power module is used to supply power to the device.
优选地,所述上位机用于对所述肌电信号和所述加速度信号进行震颤分析处理,生成报告。Preferably, the host computer is configured to perform tremor analysis and processing on the myoelectric signal and the acceleration signal to generate a report.
本发明由于采用了以上技术方案,使其具有以下有益效果:The present invention has the following beneficial effects due to the adoption of the above technical solutions:
通过刺激模块和采集装置的配合,实现肌电信号和所述加速度信号的采集;通过上位机的配合实现生成肌电图并进行震颤分析处理;可不使用专门研究生产单独的震颤仪来判别患者是否患病,减少了成本。目前帕金森病患者人数的增多,之前大多发生在老年人身上,现在也越来越趋于年轻化,因此通过使用震颤分析并且配合肌电图能够很好的进行疾病的诊断,对于医生来说,通过自身的经验去诊断病情,以及借助医疗设备二者结合进行诊断,大大增加了诊断的正确性,也为及时发现病情,及时治疗提供了帮助。Through the cooperation of the stimulation module and the acquisition device, the collection of the EMG signal and the acceleration signal is realized; the EMG is generated and the tremor analysis and processing are realized through the cooperation of the host computer; it is not necessary to use a special research and production of a separate tremor instrument to determine whether the patient is not. Illness reduces costs. At present, the number of patients with Parkinson's disease is increasing. Most of them occurred in the elderly before, and now they are getting younger and younger. Therefore, the use of tremor analysis and electromyography can be used to diagnose the disease very well. For doctors , Diagnosing the disease through its own experience, and using the combination of medical equipment to make a diagnosis, greatly increases the accuracy of the diagnosis, and also provides help for timely detection of the disease and timely treatment.
附图说明Description of drawings
图1为本发明实施例的基于震颤分析的肌电诱发电位仪的结构示意图。FIG. 1 is a schematic structural diagram of a myoelectric evoked potential instrument based on tremor analysis according to an embodiment of the present invention.
具体实施方式Detailed ways
下面根据附图1,给出本发明的较佳实施例,并予以详细描述,使能更好地理解本发明的功能、特点。A preferred embodiment of the present invention is given below according to FIG. 1 and described in detail, so that the functions and characteristics of the present invention can be better understood.
请参阅图1,本发明实施例的一种基于震颤分析的肌电诱发电位仪,包括一刺激模块1、一采集装置2、一报警装置3、一信号处理装置4、一电源模块5、一控制器模块6、一无线传输模块7和上位机8;刺激模块1与一被检测人9人体的检测部位接触;采集装置2安装于被检测人9的皮肤表面;采集装置2、报警装置3、信号处理装置4和控制器模块6依次连接;控制器模块6还连接电源模块5和无线传输模块7;无线传输模块7连接上位机8。Referring to FIG. 1 , an electromyography evoked potential meter based on tremor analysis according to an embodiment of the present invention includes a stimulation module 1 , a collection device 2 , an alarm device 3 , a signal processing device 4 , a power supply module 5 , and a The controller module 6, a wireless transmission module 7 and the host computer 8; the stimulation module 1 is in contact with the detection part of the human body of a detected
刺激模块1用于产生刺激源来刺激人体,使其产出刺激信号,经刺激电极作用于人体。The stimulation module 1 is used to generate a stimulation source to stimulate the human body, so that it generates a stimulation signal, which acts on the human body through the stimulation electrodes.
采集装置2包括:一采集模块、一数据存储模块和一第一数据传输模块。其中采集模块,用于采集皮肤表面的肌电信号和加速度信号;数据存储模块,用于存储肌电信号和加速度信号;第一数据传输模块,用于将肌电信号和加速度信号传输给报警装置3。The collection device 2 includes: a collection module, a data storage module and a first data transmission module. The acquisition module is used to collect the EMG signal and acceleration signal on the skin surface; the data storage module is used to store the EMG signal and the acceleration signal; the first data transmission module is used to transmit the EMG signal and the acceleration signal to the alarm device 3.
报警装置3包括:一检测模块、一报警模块和一第二数据传输模块。其中,检测模块,用于检测是否收到肌电信号和加速度信号;报警模块,用于在检测模块判断未收到肌电信号和加速度信号时发出警报;第二数据传输模块,用于在检测模块判断收到肌电信号和加速度信号后,将肌电信号和加速度信号发送给信号处理装置4。The alarm device 3 includes: a detection module, an alarm module and a second data transmission module. Among them, the detection module is used to detect whether the myoelectric signal and the acceleration signal are received; the alarm module is used to issue an alarm when the detection module judges that the myoelectric signal and the acceleration signal have not been received; the second data transmission module is used to detect After the module judges that the EMG signal and the acceleration signal are received, the EMG signal and the acceleration signal are sent to the signal processing device 4 .
信号处理装置4包括:一数据处理模块和一第三数据传输模块。数据处理模块,用于对肌电信号进行三级放大和高通滤波处理;第三数据传输模块,用于将处理后的肌电信号和加速度信号发送给控制器模块6。The signal processing device 4 includes: a data processing module and a third data transmission module. The data processing module is used to perform three-stage amplification and high-pass filtering processing on the EMG signal; the third data transmission module is used to send the processed EMG signal and acceleration signal to the controller module 6 .
无线传输模块7包括蓝牙,用于通过蓝牙与上位机8进行无线通讯。The wireless transmission module 7 includes bluetooth, and is used for wireless communication with the upper computer 8 through bluetooth.
电源模块5用于对设备供电。The power module 5 is used to supply power to the device.
上位机8用于对肌电信号和加速度信号进行震颤分析处理,生成报告。The upper computer 8 is used to perform tremor analysis and processing on the electromyographic signal and the acceleration signal, and generate a report.
本发明实施例的一种基于震颤分析的肌电诱发电位仪,具体使用方法如下:(1)在肌电诱发软件中完成对病人信息的管理,如姓名、科室、年龄等。(2)确定对患者的检测部位,选择所需的通道数。(3)对患者的加速度数据和肌电数据进行采集。(4)对采集参数进行设置,把采集数据用波形显示,并对采集数据进行保存。(5)对加速度数据和肌电数据进行分析,获取峰频率、半峰宽、波幅等。(6)由检测医生进行分析,分析的结果用图和表格的形式进行显示,包括频谱图、分析结果表等。(7)进行报告打印。An electromyography evoked potential instrument based on tremor analysis according to an embodiment of the present invention, the specific use method is as follows: (1) Complete the management of patient information, such as name, department, age, etc., in the electromyography evoked software. (2) Determine the detection site of the patient, and select the required number of channels. (3) Collect the acceleration data and EMG data of the patient. (4) Set the acquisition parameters, display the acquired data by waveform, and save the acquired data. (5) Analyze acceleration data and EMG data to obtain peak frequency, half-peak width, amplitude, etc. (6) Analysis is performed by the testing doctor, and the analysis results are displayed in the form of graphs and tables, including spectrograms, analysis result tables, etc. (7) Print the report.
本发明实施例的一种基于震颤分析的肌电诱发电位仪,具体工作过程如下:在皮肤检测部位给予刺激,使其产出刺激信号,然后通过在贴在检测部位电极片进行对肌电信号和加速度信号的采集,由于信号十分的微弱,报警装置3若未采集到信号,则发出预警信号,提醒医护人员重新提取。对与采集到的肌电信号和加速度信号由于传输过程会受到噪声的干扰,因此进行放大、滤波处理,将模拟信号转换成数字信号,传到控制模块进行处理。控制模块通过控制无线通信模块将数字信号发送给上位机8,最后由上位机8进行分析处理,最终生成报告。An electromyographic evoked potential instrument based on tremor analysis according to an embodiment of the present invention, the specific working process is as follows: giving stimulation at the skin detection site to make it generate a stimulation signal, and then performing the electromyography signal by sticking the electrode patch on the detection site. and acceleration signal collection, because the signal is very weak, if the alarm device 3 does not collect the signal, it will issue an early warning signal to remind the medical staff to re-extract. The collected EMG signal and acceleration signal will be interfered by noise due to the transmission process, so it is amplified and filtered, and the analog signal is converted into a digital signal, which is sent to the control module for processing. The control module sends the digital signal to the upper computer 8 by controlling the wireless communication module, and finally the upper computer 8 performs analysis and processing, and finally generates a report.
本发明通过现有的肌电放大器对患者的加速度和表面肌电进行采集,检测的部位可以是双上肢或者是双下肢,运用6个采集通道,每侧肢体采集一通道加速度信号和两块互为拮抗关系的肌肉的肌电信号。如果没有采集到信号,会进行报警提示,从而进行重新采集。通过用肌电放大器并应用加速度记录仪来分析震颤的频率、幅度、频谱谐波,同时采集震颤相关的表面肌电数据,来判别不同肌电爆发模式来区别震颤类型,患者是否患有帕金森病或者其他类型的疾病。The invention collects the acceleration and surface electromyography of the patient through the existing myoelectric amplifier, and the detected parts can be both upper limbs or double lower limbs. Six acquisition channels are used, and each limb collects one channel of acceleration signal and two mutual EMG signals of muscles in antagonistic relationship. If no signal is collected, an alarm prompt will be issued, so as to re-collect. By using an EMG amplifier and applying an accelerometer to analyze the frequency, amplitude and spectral harmonics of tremor, and collecting surface EMG data related to tremor, different EMG burst patterns are used to distinguish the type of tremor and whether the patient has Parkinson’s disease disease or other types of disease.
以上结合附图实施例对本发明进行了详细说明,本领域中普通技术人员可根据上述说明对本发明做出种种变化例。因而,实施例中的某些细节不应构成对本发明的限定,本发明将以所附权利要求书界定的范围作为本发明的保护范围。The present invention has been described in detail above with reference to the embodiments of the accompanying drawings, and those skilled in the art can make various modifications to the present invention according to the above description. Therefore, some details in the embodiments should not be construed to limit the present invention, and the present invention will take the scope defined by the appended claims as the protection scope of the present invention.
Claims (7)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210146445.5A CN114366130A (en) | 2022-02-17 | 2022-02-17 | Myoelectric evoked potential meter based on tremor analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210146445.5A CN114366130A (en) | 2022-02-17 | 2022-02-17 | Myoelectric evoked potential meter based on tremor analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114366130A true CN114366130A (en) | 2022-04-19 |
Family
ID=81146479
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210146445.5A Pending CN114366130A (en) | 2022-02-17 | 2022-02-17 | Myoelectric evoked potential meter based on tremor analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114366130A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105595995A (en) * | 2016-01-29 | 2016-05-25 | 电子科技大学 | Physiological data detection system, detection device, terminal device, and data analysis method |
| CN105705093A (en) * | 2013-10-07 | 2016-06-22 | Mc10股份有限公司 | Conformal sensor systems for sensing and analysis |
| CN106156510A (en) * | 2016-07-07 | 2016-11-23 | 苏州海神联合医疗器械有限公司 | A kind of electromyogram evoked potentuial measuring system based on cloud service |
| CN107233094A (en) * | 2016-03-29 | 2017-10-10 | 上海海神医疗电子仪器有限公司 | A kind of electromyogram evoked potentuial measuring system |
| CN107280667A (en) * | 2016-03-31 | 2017-10-24 | 北京航空航天大学 | A kind of wireless surface myoelectricity acquisition system with acceleration transducer |
| CN113100756A (en) * | 2021-04-15 | 2021-07-13 | 重庆邮电大学 | A Stacking-based Parkinson's Tremor Detection Method |
-
2022
- 2022-02-17 CN CN202210146445.5A patent/CN114366130A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105705093A (en) * | 2013-10-07 | 2016-06-22 | Mc10股份有限公司 | Conformal sensor systems for sensing and analysis |
| US20160232807A1 (en) * | 2013-10-07 | 2016-08-11 | Mc10, Inc. | Conformal sensor systems for sensing and analysis |
| CN105595995A (en) * | 2016-01-29 | 2016-05-25 | 电子科技大学 | Physiological data detection system, detection device, terminal device, and data analysis method |
| CN107233094A (en) * | 2016-03-29 | 2017-10-10 | 上海海神医疗电子仪器有限公司 | A kind of electromyogram evoked potentuial measuring system |
| CN107280667A (en) * | 2016-03-31 | 2017-10-24 | 北京航空航天大学 | A kind of wireless surface myoelectricity acquisition system with acceleration transducer |
| CN106156510A (en) * | 2016-07-07 | 2016-11-23 | 苏州海神联合医疗器械有限公司 | A kind of electromyogram evoked potentuial measuring system based on cloud service |
| CN113100756A (en) * | 2021-04-15 | 2021-07-13 | 重庆邮电大学 | A Stacking-based Parkinson's Tremor Detection Method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10285646B1 (en) | Connection quality assessment for EEG electrode arrays | |
| Tartaglia et al. | Surface electromyographic assessment of patients with long lasting temporomandibular joint disorder pain | |
| CN101779955B (en) | Portable brain function biofeedback instrument | |
| CN108742612B (en) | DBS effectiveness detection equipment based on myoelectric marker | |
| Knorr et al. | Quantitative measures of functional upper limb movement in persons after stroke | |
| Liu et al. | Flexible non-contact electrodes for bioelectrical signal monitoring | |
| US20230118304A1 (en) | System, method, portable device, computer apparatus and computer program for monitoring, characterisation and assessment of a user's cough | |
| CN106308748B (en) | A kind of back pain patient dysfunction analysis method and the device for realizing this method | |
| CN113520310A (en) | Electroencephalogram ERP-based touch information processing method | |
| CN111134641A (en) | A sleep monitoring chip system and sleep monitoring chip | |
| CN107397548A (en) | The surface electromyogram signal Feature Recognition System and method of a kind of bruxism | |
| CN111759300B (en) | Nerve diagnosis or treatment equipment, electrocardio detection system and sympathetic nerve monitoring system and application thereof | |
| Askari et al. | An EMG-based system for continuous monitoring of clinical efficacy of Parkinson's disease treatments | |
| CN106037729A (en) | Lumbar intervertebral disc protrusion determination method and system | |
| CN201308487Y (en) | Amblyopia detecting system based on P-VEP | |
| Wang et al. | Performance of flexible non-contact electrodes in bioelectrical signal measurements | |
| CN114366130A (en) | Myoelectric evoked potential meter based on tremor analysis | |
| Zhou et al. | Surface electromyogram analysis of the direction of isometric torque generation by the first dorsal interosseous muscle | |
| CN116369853B (en) | Olfactory function standardized evaluation device and method based on brain-computer interaction technology | |
| Huckabee et al. | Variability in clinical surface electromyography recording of submental muscle activity in swallowing of healthy participants | |
| Ablao et al. | Machine Learning Sleep Phase Monitoring using ECG and EMG | |
| CN117918869A (en) | Sport injury intelligent diagnosis and evaluation system based on sEMG technology | |
| Yu et al. | Wireless medical sensor measurements of fatigue in patients with multiple sclerosis | |
| KR102306613B1 (en) | Apparatus for discriminating myopathy using surface electromyography signal | |
| CN117100290A (en) | A system for assessing coma status |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20220419 |
|
| WD01 | Invention patent application deemed withdrawn after publication |
