CN105361858B - Blood pressure data processing method and wearable device - Google Patents

Abstract

The present invention discloses a method for processing blood pressure data and a wearable device, wherein the method for processing blood pressure data comprises: collecting the blood pressure data of the user through a sensor in the wearable device; performing identification based on the set apnea rule according to the blood pressure data; and feeding back the blood pressure data and the identification result. The present invention utilizes the close relationship between blood pressure and apnea to solve the problem that the user needs to wear a lot of instruments to obtain physiological signals when judging apnea, and lies in a sleep breathing laboratory for at least 7 hours, which is inconvenient for data monitoring, so that the user only needs to wear the device in daily life to measure.

Description

A blood pressure data processing method and wearable device

technical field

The invention relates to the field of sleep-respiratory diseases, in particular to a method for processing blood pressure data and a wearable device.

Background technique

Apnea is a sleep-breathing disorder characterized by nocturnal sleep-snoring with apnea and daytime sleepiness. Snoring is manifested as high and low snoring, which can be completely interrupted, and severe patients can wake up. Symptoms such as palpitation, heart palpitations, and breathlessness may appear after waking up. At the same time, it can be observed that with the cessation of snoring, the patient's breathing pauses significantly, and the apnea is terminated with a deep inhalation, followed by a louder snoring sound. As the disease progresses, the snoring gradually worsens. During the apnea, the chest and abdomen breathe in paradoxical movements. With the occurrence of apnea and the apnea is too long, involuntary body movements or even sitting up may occur. Because apnea causes recurrent hypoxia at night, apnea not only leads to memory loss, but also an independent factor leading to high blood pressure. Among patients with sleep apnea, the prevalence of high blood pressure can reach more than 50%, and severe Sometimes it can lead to complications such as high blood pressure, coronary heart disease, diabetes and cerebrovascular disease, and even sudden death at night. However, many patients do not know that they have such a problem, so they do not see a doctor in time, and the symptoms will become more and more serious.

Even when the doctor suspects that the patient has such a problem, there is no available physical characteristic information to assist in making a more accurate and definite judgment. When it is necessary for the patient to undergo a diagnostic examination and provide reliable physical characteristic information, many patients are unwilling to undergo a diagnostic examination in the hospital, because it is very troublesome and painful to do a diagnostic examination for apnea, and it requires the patient to wear a lot of equipment. Acquiring physiological signals, such as polysomnography (PSG) equipment, and lying in a sleep breathing laboratory for at least 7 hours, data monitoring is inconvenient.

Contents of the invention

In view of this, the embodiments of the present invention provide a blood pressure data processing method and a wearable device to solve the problem of inconvenient data monitoring for judging apnea in the prior art.

In a first aspect, an embodiment of the present invention provides a method for processing blood pressure data, including:

Collect the user's blood pressure data through the sensor in the wearable device;

Identify based on the set apnea rules according to the blood pressure data;

The blood pressure data and recognition results are fed back.

In the second aspect, the embodiment of the present invention also provides a wearable device, including:

The blood pressure sensor is used to collect the user's blood pressure data;

a processor, configured to perform identification based on a set apnea rule according to the blood pressure data;

A feedback unit, configured to feed back the blood pressure data and the recognition result.

The embodiment of the present invention provides a blood pressure data processing method and a wearable device. The blood pressure data of the user is collected through the blood pressure sensor in the wearable device. Because there is a close relationship between blood pressure and apnea, the blood pressure data is based on Set apnea rules to judge and identify, and use blood pressure data to judge whether there is apnea, so as to remind users of the possibility of suffering from apnea. The present invention avoids the problem that users need to wear a lot of instruments to obtain physiological signals when judging apnea, and lie down for at least 7 hours in a sleep breathing laboratory, which is inconvenient for data monitoring, so that users only need to wear them in daily life The device is ready to measure.

Description of drawings

Other characteristics, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

FIG. 1 is a schematic flowchart of a blood pressure data processing method provided in Embodiment 1 of the present invention;

Fig. 2 is a schematic flowchart of a blood pressure data processing method provided by Embodiment 1 of the present invention;

Fig. 3 is a schematic flowchart of a blood pressure data processing method provided by Embodiment 2 of the present invention;

FIG. 4 is a structural diagram of a wearable device provided by Embodiment 3 of the present invention;

FIG. 5 is a structural diagram of a wearable device provided by Embodiment 3 of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only parts related to the present invention are shown in the drawings but not all content.

Embodiment one

Embodiment 1 of the present invention provides a method for processing blood pressure data. This method is applicable to the measurement and analysis of the user's blood pressure data by the wearable device in the user's home,

The method is performed by a wearable device. FIG. 1 is a schematic flowchart of a blood pressure data processing method provided by Embodiment 1 of the present invention. As shown in Figure 1, the method of described blood pressure data processing comprises:

S110. Collect blood pressure data of the user through the sensor in the wearable device.

In the prior art, judging apnea requires the user to wear a lot of instruments in the hospital to obtain physiological signals, and to lie down for at least 7 hours in the sleep breathing laboratory to complete. For the user, firstly, it is uncomfortable and expensive; secondly, the quality of sleep in the respiratory laboratory is not as good as usual, so it will cause errors in the measurement results. Especially for children, the measurement process is more difficult and inaccurate.

In this embodiment, according to the relationship between apnea and blood pressure changes and influences, the advantages of the wearable blood pressure device's dynamic and continuous measurement of blood pressure are used, so that the user can continuously analyze the user's blood pressure during daily sleep at home, and judge Whether you suffer from apnea, let users discover their own problems in time. The sensor of the wearable blood pressure device can be worn on the user's wrist, finger, upper arm, etc., for example, the sensor can be installed at the user's wrist artery. In wearable devices, sensors are the core components.

A general wearable blood pressure sensor can be a pressure sensor or a photoelectric sensor. The pressure sensor directly measures the pressure change of the arteries and veins, while the photoelectric sensor first emits light to the human artery, and measures it according to the change of light passing through the human tissue. For example, for a sensor worn on a finger, a beam of light is emitted to the finger, and the intensity of the light transmitted through the finger changes with the pulse. Generally, the change of the vein is very small, so the light intensity of the irradiated artery is used to measure it.

S120. According to the blood pressure data, identify based on a set apnea rule.

For S110, specifically include:

Automatically and continuously collect the user's blood pressure data at the same interval.

In this embodiment, the collected blood pressure data and the collected time are recorded in one-to-one correspondence, and finally a curve of blood pressure data and its corresponding time is formed. Therefore, for the accuracy of the final blood pressure data curve, the blood pressure data are collected at equal intervals, and the interval should be as short as possible. For example, the blood pressure sensor may be controlled to measure the blood pressure every 5 minutes, and the measurement time shall be correlated with the measured diastolic and systolic blood pressure data.

Correspondingly, as shown in FIG. 2 , FIG. 2 is a schematic flowchart of a method for processing blood pressure data provided by Embodiment 1 of the present invention. The identifying based on the set apnea rules according to the blood pressure data specifically includes:

S210. Compare the blood pressure data in the daytime period with the blood pressure data in the nighttime period, so as to obtain blood pressure data change results in different periods.

The wearable device can measure the user's blood pressure data 24 hours a day. Compare the blood pressure data during the daytime period and the nighttime period, and focus on observing the difference between the blood pressure data during the daytime period and the nighttime period. Because the blood pressure of hypertensive patients generally drops during the night, while people with apnea rises instead of falling at night, so observing the trend of blood pressure is a very important aspect. The determination of the day time period and the night time period can be set by the user, for example, the night time period can be set from 11:00 pm to 7:00 the next day.

S220. Fitting and establishing a blood pressure data curve according to the blood pressure data, and identifying a curve peak from the blood pressure data curve.

According to the blood pressure data recorded above and the corresponding time, the blood pressure data is fitted to establish a blood pressure data curve. The visual expression is to establish a coordinate system on the plane with time as the horizontal axis and blood pressure data as the vertical axis. Each blood pressure data has corresponding points on the plane. Fitting is to connect these points with a smooth curve . Look for the highest value of the blood pressure data on the smooth curve, that is, the peak point of the curve. Another difference between patients with apnea and general hypertensive patients is that the blood pressure is the highest in the morning, so it is necessary to observe whether the highest value of the user's blood pressure is in the morning.

S230. Determine, according to the blood pressure data, the number of fluctuations of the blood pressure data in the nighttime period.

Patients with apnea have recurrent episodes of apnea more than 30 times during sleep every night or sleep apnea-hypopnea index (AHI) ≥ 5 times/hour accompanied by clinical symptoms such as lethargy. Apnea refers to the complete cessation of oronasal breathing airflow for more than 10 seconds during sleep; hypopnea refers to the reduction of respiratory airflow intensity (amplitude) by more than 50% compared with the baseline level during sleep. When a patient has an apnea attack, blood pressure will have a process of sudden increase and then decrease that is larger than usual. Therefore, every time apnea occurs, it is accompanied by a fluctuation of blood pressure. The number of episodes of apnea in the user's nighttime period can be inferred by counting the number of blood pressure fluctuations in the user's nighttime period.

S240, based on the change result, the peak value of the curve, and the number of fluctuations, identify the apnea based on the set apnea rule.

Specifically, if the change result is that the blood pressure data curve is a reverse spoon-shaped curve of high pressure at night and low pressure during the day, the peak time of the curve is in the morning, and the number of fluctuations exceeds 30 times, it is determined that apnea is identified.

Generally, the blood pressure data curve of hypertensive patients is a normal spoon-shaped curve, while that of patients with apnea is abnormal. In the morning, it is another manifestation of apnea; according to international statistical standards, when the number of blood pressure fluctuations of the user is more than 30 times at night, it is possible that the user has more than 30 episodes of apnea at night, which is also a symptom of apnea one. If the user meets the above three manifestations, the user is likely to suffer from apnea and needs to go to the hospital for a more comprehensive examination.

S130. Feedback the blood pressure data and recognition results.

Further, if the recognition result is that the blood pressure data conforms to the set apnea rule, prompting the user by voice or image; and/or

The blood pressure data and the identification result are fed back to the telemedicine terminal in real time through the network.

The set apnea rule is shown as a spoon-shaped blood pressure curve, the blood pressure is the highest in the morning, and the blood pressure fluctuates more than 30 times during sleep at night. If the user has these symptoms, use a voice prompt such as a speaker or use an image such as a display screen to inform the user that he may suffer from apnea; optionally, the blood pressure data and recognition results are remotely fed back to the medical terminal of the hospital through the network . The medical terminal and the user's wearable device are connected in the form of a network, so the user's blood pressure data can be fed back to the remote medical terminal in real time to store the data for doctors to diagnose the user's symptoms.

Embodiment 1 of the present invention provides a blood pressure data processing method. The blood pressure data of the user is collected through the blood pressure sensor in the wearable device. Because there is a close relationship between blood pressure and apnea, the blood pressure data is based on the set breath Pause rules are used to judge and identify, and blood pressure data is used to judge whether there is apnea, thereby reminding the user of the possibility of suffering from apnea. The present invention avoids the need for users to wear a lot of instruments to obtain Physiological signals, and lying in the sleep breathing laboratory for at least 7 hours, the problem of data monitoring is inconvenient, so that users only need to wear the device in daily life to measure. And the blood pressure data and recognition results can be sent to the remote medical terminal, which is convenient for doctors to understand the user's physical condition and facilitate more accurate diagnosis.

Embodiment two

This embodiment further perfects and explains the blood pressure data processing method on the basis of the above embodiments. As shown in Figure 3, Figure 3 is a schematic flowchart of a blood pressure data processing method provided by Embodiment 2 of the present invention, the method includes:

S310. Collect blood pressure data of the user through the sensor in the wearable device.

S320. Detect the user's heart rate and physical activity, and confirm that the user has entered a sleep state if the heart rate slows down and the physical activity stops;

A time period during which the user enters a sleep state is determined as the night time period.

The blood pressure data of the user to be measured at nighttime essentially refers to the blood pressure data of the user in a sleeping state. In fact, the sleep time of each user is different, and the sleep time of the same user is also different every day. Therefore, to obtain accurate sleep time, the user's heart rate and activity status can be detected. The user's heart rate is slower when sleeping than when awake, and the user's body basically stops moving in the sleeping state.

Add a heart rate sensor and an accelerometer to a wearable device. The heart rate sensor and the acceleration sensor can be integrated with the blood pressure sensor into an integral package, or they can not be integrated and connected with wires.

The heart rate sensor is preferably a photoelectric sensor, and the photoelectric sensor will not cause a sense of pressure. Generally, arteries are used to measure heart rate, and there is no need to worry about the problem that photoelectric sensors cannot accurately measure venous pulse rate. Moreover, although the wrist pulse rate and heart rate are generally the same, some heart diseases can cause the two to be different. For example, arrhythmia can make the heart rate greater than the pulse rate. in the heart area. Therefore, for users who want to wear a heart rate sensor on the heart, it is more necessary to use a photoelectric sensor.

The user has acceleration when he is active, but the acceleration of the human body is almost zero when he is sleeping, so the acceleration sensor is also an auxiliary means to judge whether the user is in a sleep state.

S330. According to the blood pressure data, identify based on a set apnea rule.

S340. If the recognition result is that the blood pressure data conforms to the set apnea rule, display the options of usual headache and usual drowsiness to the user through a dialog box on the display screen.

People with apnea typically have morning headaches and daytime sleepiness. Therefore, after the recognition result meets the set apnea rules, in order to further ensure the accuracy of the result, a dialog box can be displayed on the display screen set on the wearable device to show the user the options of usual headache and drowsiness.

S350. According to the selection of the user, combining the blood pressure data and the recognition result, prompting the user through voice or image.

S360. Feed back the blood pressure data and the identification result to the remote medical terminal through the network in real time.

If the user usually has symptoms of headache and drowsiness, he can confirm the option of headache and drowsiness through the touch function of the display screen or the button function of the wearable device. After receiving the confirmation signal, the device will prompt the user with voice or image and send the blood pressure data And the recognition results are fed back to the telemedicine terminal.

Embodiment 2 of the present invention provides a method for processing blood pressure data. On the basis of the above embodiments, a heart rate sensor and an acceleration sensor are added to distinguish between the user's daytime period and nighttime period, and collect the user's blood pressure data more accurately. . And before prompting the user to confirm whether the user has the symptoms of headache and drowsiness, the phenomenon of apnea can be judged more reliably.

Embodiment three

FIG. 4 is a structural diagram of a wearable device provided by Embodiment 3 of the present invention. As shown in FIG. 4 , the device includes: a blood pressure sensor 11 , a processor 12 and a feedback unit 13 .

Among them, the blood pressure sensor 11 is used to collect blood pressure data of the user.

The processor 12 is configured to identify the apnea based on the set apnea rule according to the blood pressure data.

The feedback unit 13 is configured to feed back the blood pressure data and the identification result.

The blood pressure sensor 11 is specifically used for:

Automatically and continuously collect the user's blood pressure data at the same interval;

Correspondingly, according to the blood pressure data, the processor 12 is specifically used to:

Compare the blood pressure data in the daytime period with the blood pressure data in the nighttime period to obtain the change results of blood pressure data in different periods;

Fitting and establishing a blood pressure data curve according to the blood pressure data, and identifying a curve peak from the blood pressure data curve;

determining the number of fluctuations of the blood pressure data during the nighttime period according to the blood pressure data;

Based on the change result, the peak value of the curve and the number of fluctuations, the apnea is identified based on the set apnea rule.

The processor 12 identifies based on the change result, the peak value of the curve and the number of fluctuations, based on the set apnea rule, specifically for:

If the change result is that the blood pressure data curve is a reverse spoon-shaped curve of high pressure at night and low pressure during the day, the peak time of the curve is in the morning, and the number of fluctuations exceeds 30 times, then it is determined that apnea is identified.

The feedback unit 13 is specifically used for:

If the recognition result is that the blood pressure data conforms to the set apnea rule, prompting the user through voice or image; and/or

The blood pressure data and the identification result are fed back to the telemedicine terminal in real time through the network.

The feedback unit 13 prompts the user through voice or image, and is specifically used for:

Show the user options for usual headaches and usual sleepiness through a dialog box in the display;

According to the selection of the user, combined with the blood pressure data and the recognition result, prompts are given to the user through voice or image.

With reference to Figure 5, in the above solution, the device also includes:

A heart rate sensor 14 and an acceleration sensor 15 are used to detect the user's heart rate and physical activity respectively;

Processor 12 is also configured to confirm that the user has fallen asleep if said heart rate slows down and physical activity ceases;

A time period during which the user enters a sleep state is determined as the night time period.

The wearable device provided in the third embodiment of the present invention can be used to execute the blood pressure data processing method provided in the embodiment of the present invention, and has corresponding functions and beneficial effects.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention, and the present invention The scope is determined by the scope of the appended claims.

Claims (10)

1. A kind of 1. method of blood pressure data processing, it is characterised in that including：

   By the sensor in wearable device, the blood pressure data of user is gathered；

   According to the blood pressure data, it is identified based on setting apnea rule；

   The blood pressure data and recognition result are fed back；

   Wherein, user's blood pressure data is gathered, including：

   Every the blood pressure data of identical collection user automatic continuous for a period of time；

   Accordingly, according to the blood pressure data, it is identified based on setting apnea rule, including：

   The blood pressure data of daytime period is compared with the blood pressure data of night-time hours, to obtain the blood pressure data of different periods Result of variations；

   Blood pressure data curve is established according to blood pressure data fitting, peak of curve is identified from the blood pressure data curve；

   The fluctuation number of night-time hours blood pressure data is determined according to the blood pressure data；

   Based on the result of variations, peak of curve and fluctuation number, it is identified based on setting apnea rule.
2. 2. according to the method for claim 1, it is characterised in that according to the blood pressure data, based on setting apnea Before rule is identified, in addition to：

   The heart rate and body movement situation of user is detected, if the heart rate decrease and body movement stop, having confirmed user Through into sleep state；

   User is defined as the night-time hours into the dormant period.
3. 3. according to the method for claim 1, it is characterised in that based on the result of variations, peak of curve and number is fluctuated, Based on setting apnea rule be identified including：

   If the result of variations is blood pressure data curve be night high pressure low pressure on daytime anti-spoon shape curve, the peak of curve When time is morning, and the fluctuation number is more than 30 times, it is determined that recognizes apnea phenomenon.
4. 4. according to the method for claim 1, it is characterised in that the blood pressure data and recognition result are fed back, wrapped Include：

   Meet the setting apnea rule if the recognition result is the blood pressure data, by voice or image to Prompted at family；And/or

   By the blood pressure data and the recognition result by network Real-time Feedback to terminals for telemedicine.
5. 5. according to the method for claim 4, it is characterised in that prompted by voice or image to user, including：

   By the dialog box in display screen, usually headache and usually drowsiness option are shown to user；

   According to the selection of user, with reference to the blood pressure data and recognition result, prompted by voice or image to user.
6. A kind of 6. wearable device, it is characterised in that including：

   Blood pressure sensor, for gathering the blood pressure data of user；

   Processor, for according to the blood pressure data, being identified based on setting apnea rule；

   Feedback unit, for the blood pressure data and recognition result to be fed back；

   Wherein, the blood pressure sensor is specifically used for：

   Every the blood pressure data of identical collection user automatic continuous for a period of time；

   Accordingly, it is specifically used for according to the blood pressure data, the processor：

   The blood pressure data of daytime period is compared with the blood pressure data of night-time hours, to obtain the blood pressure data of different periods Result of variations；

   Blood pressure data curve is established according to blood pressure data fitting, peak of curve is identified from the blood pressure data curve；

   The fluctuation number of night-time hours blood pressure data is determined according to the blood pressure data；

   Based on the result of variations, peak of curve and fluctuation number, it is identified based on setting apnea rule.
7. 7. equipment according to claim 6, it is characterised in that：

   Also include：

   Heart rate sensor and acceleration transducer, it is respectively used to detect the heart rate and body movement situation of user；

   Stop if the processor is additionally operable to the heart rate decrease and body movement, confirm that user comes into sleep shape State；

   User is defined as the night-time hours into the dormant period.
8. 8. equipment according to claim 6, it is characterised in that the processor is based on the result of variations, peak of curve With fluctuation number, it is identified, is specifically used for based on setting apnea rule：

   If the result of variations is blood pressure data curve be night high pressure low pressure on daytime anti-spoon shape curve, the peak of curve When time is morning, and the fluctuation number is more than 30 times, it is determined that recognizes apnea phenomenon.
9. 9. equipment according to claim 6, it is characterised in that the feedback unit is specifically used for：

   Meet the setting apnea rule if the recognition result is the blood pressure data, by voice or image to Prompted at family；And/or

   By the blood pressure data and the recognition result by network Real-time Feedback to terminals for telemedicine.
10. 10. equipment according to claim 9, it is characterised in that the feedback unit is entered by voice or image to user Row prompting, is specifically used for：

    By the dialog box in display screen, usually headache and usually drowsiness option are shown to user；

    According to the selection of user, with reference to the blood pressure data and recognition result, prompted by voice or image to user.