CN106361298A - Physiological data processing method and wearable device - Google Patents

Abstract

The invention discloses a method for processing physiological data and wearable equipment, wherein the method comprises the following steps: the method comprises the steps of collecting physiological data of a user through a sensor in wearable equipment, identifying the physiological data based on a set cardiac arrest rule according to the physiological data, and feeding back the physiological data and an identification result. By adopting the technical scheme, the physiological data reflecting cardiac arrest can be effectively monitored, and when cardiac arrest is monitored, feedback is timely carried out, so that the treatment opportunity is ensured, the damage to a user caused by cardiac arrest is reduced, and the technical problem that the cardiac arrest patient is injured due to missed rescue opportunity in the prior art is solved.

Description

A processing method of physiological data and wearable device

technical field

The invention relates to the technical field of data processing, in particular to a physiological data processing method and a wearable device.

Background technique

According to statistics, the number of sudden cardiac deaths due to cardiac arrest in China reaches 540,000 every year, and an average of about 1,500 people die of cardiac arrest every day.

Once cardiac arrest occurs, if immediate rescue and resuscitation is not obtained, it will cause irreversible damage to the patient's brain and other vital organs and tissues in 4 to 6 minutes. Therefore, cardiopulmonary resuscitation (CPR) after cardiac arrest must Immediately on site.

Since cardiac arrest is a low-probability event, it is not possible to effectively monitor cardiac arrest in the existing technology. Although many products are equipped with a call for help function, the one-key call for help is only used to call out the emergency call in an emergency. It cannot solve the harm caused by the missed rescue opportunity to the cardiac arrest patient.

Contents of the invention

In view of this, the embodiments of the present invention provide a physiological data processing method and a wearable device to solve the technical problem in the prior art that a cardiac arrest patient is harmed due to a missed rescue opportunity during cardiac arrest.

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

Collect physiological data of users through sensors in wearable devices;

Identifying based on the set cardiac arrest rules according to the physiological data;

The physiological data and recognition results are fed back.

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

A sensor for collecting physiological data of the user;

a processor, configured to perform identification based on a set cardiac arrest rule according to the physiological data;

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

The physiological data processing method and the wearable device provided by the embodiment of the present invention collect the user's physiological data through the sensor in the wearable device, and identify the user based on the set cardiac arrest rules according to the physiological data, and store the physiological data Feedback of data and recognition results. Using the above technical solution, the physiological data reflecting cardiac arrest can be effectively monitored, and when cardiac arrest is detected, timely feedback can be made to avoid missing the opportunity for treatment, reduce the damage caused to users due to cardiac arrest, and solve the problem of cardiac arrest. In the prior art, there is a technical problem of causing harm to cardiac arrest patients due to missed rescue opportunities during cardiac arrest.

Description of drawings

In order to illustrate the technical solutions of the exemplary embodiments of the present invention more clearly, the following briefly introduces the drawings used in describing the embodiments. Apparently, the drawings introduced are only the drawings of a part of the embodiments to be described in the present invention, rather than all the drawings. Those of ordinary skill in the art can also obtain the Other attached drawings.

FIG. 1 is a schematic flowchart of a physiological data processing method provided by Embodiment 1 of the present invention;

FIG. 2 is a schematic flow chart of a physiological data processing method provided by Embodiment 2 of the present invention;

Fig. 3 is a structural block diagram of a wearable device provided by Embodiment 3 of the present invention.

detailed description

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.

Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe various operations (or steps) as sequential processing, many of the operations may be performed in parallel, concurrently, or simultaneously. In addition, the order of operations can be rearranged. The process may be terminated when its operations are complete, but may also have additional steps not included in the figure. The processing may correspond to a method, function, procedure, subroutine, subroutine, or the like.

Embodiment one

FIG. 1 is a schematic flowchart of a physiological data processing method provided by Embodiment 1 of the present invention. This embodiment is applicable to the case of processing physiological data. The method can be performed by a wearable device. As shown in Figure 1, the physiological data processing method provided in this embodiment may specifically include the following:

S110. Collect physiological data of the user through sensors in the wearable device.

Exemplarily, the wearable device may be a wearable electronic device such as a smart watch or a smart bracelet. The sensor can be a photoelectric sensor, an infrared sensor, a pressure sensor, or other sensors that can be used to collect physiological data of the user. The user wears the wearable device and collects the physiological data of the user through the built-in sensor of the wearable device. Optionally, the physiological data may include data such as heart rate data, pulse wave data, or electrocardiogram data used to describe heart activity. Among them, the heart rate data can be used to describe the beating frequency of the user's heart; the pulse wave data can be used to describe the beating of the heart; the electrocardiogram data can be used to describe the changes in the electrical activity of the heart produced by each cardiac cycle.

Specifically, the heart rate data and pulse wave data can be directly collected by the built-in sensor in the wearable device, and the electrocardiogram data can be obtained by attaching the wearable device worn on the wrist to the heart by the user. The user's body and the wearable device form a complete loop, and the user's ECG data can be obtained. The user can also press the finger of one hand on the wearable device worn on the wrist of the other hand. Through the user's body and the wearable device The wearable device forms a complete loop and obtains the user's ECG data. Furthermore, after receiving the call for help instruction, the user's physiological data can be collected regularly through the sensor in the wearable device. Optionally, the call for help may be issued by the user by triggering the call for help button in the wearable device when the user feels uncomfortable. When the wearable device receives the call for help, it collects the user's physiological data at regular intervals. The time can be set in advance in the wearable device. For example, the timing time can be set to 30s, that is, the user's physiological data will be collected every 30s after the call for help is received.

S120. According to the physiological data, perform identification based on a set cardiac arrest rule.

Exemplarily, according to the heart rate data, pulse wave data or electrocardiogram data, it is identified based on the set heart pause rule whether the user suffers from cardiac arrest. Specifically, according to the heart rate data, pulse wave data or electrocardiogram data, based on the breath analysis model database preset in the wearable device, the above heart rate data, pulse wave data or electrocardiogram data can be performed by querying the breath analysis model database. analyze. Optionally, the breath analysis model database may be obtained through statistical analysis based on historical data of other users, and preset in the wearable device.

Exemplarily, according to the physiological data, the identification based on setting cardiac arrest rules may include:

If the pulse wave data disappears or the ratio between the pulse wave data and the normal pulse wave data is less than a first preset value, it is determined that a cardiac arrest phenomenon is recognized; or

If the heart rate data and/or pulse wave data meet the apnea condition, it is determined that a cardiac arrest phenomenon is recognized; or,

If the frequency of the ventricular fibrillation wave in the electrocardiogram data reaches a second preset value or the ventricular wave disappears, it is determined that a cardiac arrest phenomenon is identified.

Specifically, if the pulse wave data disappears or the ratio between the pulse wave data and the normal pulse wave data is less than 30%, it is confirmed that the phenomenon of cardiac arrest has been identified, where the first preset value can be 30%. The set value may be obtained by analyzing physiological data of a large number of other users. Or, if the heart rate data and/or pulse wave data meet the apnea condition, then it is confirmed that a cardiac arrest phenomenon has been identified, and the apnea condition may include apnea or severe breathing, for example, when the user's When breathing, it can be considered that there is apnea. When the frequency of breathing increases significantly, the breathing rate is fast and the breathing range increases, it can be considered that there is severe breathing and wheezing. Alternatively, if the frequency of ventricular fibrillation in the electrocardiogram data reaches a second preset value, or the ventricular wave disappears, it is determined that a cardiac arrest phenomenon is identified, where the second preset value may be that the respiratory rate is 200-500 times/min Similarly, the second preset value may also be obtained by analyzing physiological data of a large number of other users.

S130. Feedback the physiological data and recognition results.

Exemplarily, if the sudden cardiac arrest phenomenon is recognized, the physiological data and the recognition result are fed back to the user or the rescuer. Specifically, the feedback may be given to the user or the rescuer through voice prompts, or It can be to display the physiological data and recognition results on the display screen of the wearable device, give feedback to the user or rescuer, help the user or rescuer understand the user's current physical condition, and take corresponding rescue measures in time. Furthermore, the physiological data and recognition results can also be remotely fed back to the hospital’s medical terminal through the network, and the medical terminal and the user’s wearable device are connected in the form of a network, so the user’s physiological data can be fed back to the remote medical terminal in real time The data is stored for doctors to diagnose the user's symptoms.

The physiological data processing method provided by Embodiment 1 of the present invention collects the user's physiological data through the sensor in the wearable device, and performs identification based on the user's physiological data based on the set cardiac arrest rules, and compares the physiological data and the identification result Give feedback. By adopting the above-mentioned technical scheme, the physiological data reflecting cardiac arrest can be effectively monitored, and when cardiac arrest is detected, timely feedback can be given to the user or the rescuer, so as to ensure that the user can receive timely treatment and reduce the risk of cardiac arrest. The damage caused by the sudden arrest to the user solves the technical problem in the prior art that the cardiac arrest patient is harmed due to the missed rescue opportunity during the cardiac arrest.

Embodiment two

Fig. 2 is a schematic flowchart of a physiological data processing method provided by Embodiment 2 of the present invention. This embodiment provides a physiological data processing method based on the above embodiments. Specifically, this embodiment specifically discusses how to process Physiological data and recognition results are fed back for interpretation. As shown in Figure 2, the physiological data processing method provided in this embodiment may include the following:

S210. Collect physiological data of the user through sensors in the wearable device.

Exemplarily, the wearable device may be a wearable electronic device such as a smart watch or a smart bracelet. The sensor can be a photoelectric sensor, an infrared sensor, a pressure sensor, or other sensors that can be used to collect physiological data of the user. The user wears the wearable device and collects the physiological data of the user through the built-in sensor of the wearable device. Optionally, the physiological data may include data such as heart rate data, pulse wave data, or electrocardiogram data used to describe heart activity.

S220. According to the physiological data, perform identification based on a set cardiac arrest rule.

Exemplarily, according to the heart rate data, pulse wave data or electrocardiogram data, it is identified based on the set heart pause rule whether the user suffers from cardiac arrest.

S230. If the recognition result is that the physiological data conforms to the cardiac arrest rule, prompting a cardiopulmonary resuscitation operation by voice or image.

Exemplarily, if it is recognized that the user's physiological data conforms to the cardiac arrest rule based on the set cardiac arrest rule, the physiological data and the recognition result are fed back to the user or rescuer to help the user or rescue The operator understands the current physical condition of the user and takes corresponding rescue measures in a timely manner. Specifically, the cardiopulmonary resuscitation operation can be prompted by voice or image, for example, the user or the rescuer is prompted by the voice prompt method for the cardiopulmonary resuscitation operation, or the specific implementation method of the cardiopulmonary resuscitation operation is displayed on the display screen of the wearable device, to the user or rescuer. User or rescuer feedback. Optionally, cardiopulmonary resuscitation is an emergency rescue method for sudden cardiac arrest, and may generally include steps such as chest compressions, airway opening, artificial respiration, and automatic external defibrillator (Automated External Defibrillator, ADE) defibrillation. Play the action essentials and attention points of the above-mentioned cardiopulmonary resuscitation operation steps sequentially through voice prompts or display screen display methods, prompting the user or rescuer to perform emergency treatment according to the above-mentioned cardiopulmonary resuscitation action essentials and attention points.

Further, after prompting the cardiopulmonary resuscitation operation through voice or image, it may also include:

Determine and give feedback on whether to adjust the cardiopulmonary resuscitation operation based on the physiological data collected during the cardiopulmonary resuscitation operation.

Exemplarily, during the cardiopulmonary resuscitation operation, it is also necessary to periodically collect physiological data such as the user's heart rate data, pulse wave data, or electrocardiogram data, and determine whether the implemented cardiopulmonary resuscitation operation is effective for the user based on the above physiological data, and according to The resulting effect adjusts the follow-up cardiopulmonary resuscitation operation in time. For example, according to the collected physiological data, it is found that although the user's heart rate data, pulse wave data or electrocardiogram data can produce short-term changes, but the changes are not obvious, it can be judged that the user or the rescuer is not pressing enough when pressing the chest. At this time, the voice prompt or the display screen shows that the pressing force is not enough, reminding to increase the pressing force and continue the chest compression operation; another example, after performing a series of cardiopulmonary resuscitation operations, it is found that the user's heart rate and pulse are normal by collecting the user's physiological data When the frequency and intensity are high, the prompt reminds the user or the rescuer to stop the cardiopulmonary resuscitation operation in time.

Further, after determining and feeding back whether to adjust the cardiopulmonary resuscitation operation based on the physiological data collected during the cardiopulmonary resuscitation operation, the physiological data and identification results can also be remotely fed back to the hospital's medical terminal, medical terminal and users through the network The wearable device is connected in the form of a network, so the user's physiological data can be fed back to the telemedicine terminal in real time to store the data for doctors to diagnose the user's symptoms.

The physiological data processing method provided by Embodiment 2 of the present invention collects the user's physiological data through the sensor in the wearable device, and performs identification based on the user's physiological data based on the set cardiac arrest rules, and when the cardiac arrest is recognized , the cardiopulmonary resuscitation operation is prompted by voice or image. By adopting the above-mentioned technical solution, the physiological data reflecting cardiac arrest can be effectively monitored, and when cardiac arrest is detected, prompting of cardiopulmonary resuscitation will be given in time, prompting the user or rescuer of the operating essentials and points of attention of cardiopulmonary resuscitation, helping Users or rescuers understand how to implement cardiopulmonary resuscitation operations, and by judging whether the resuscitation measures are reasonable and effective in terms of strength or rhythm, provide targeted guidance on the implementation of subsequent cardiopulmonary resuscitation, and implement cardiopulmonary resuscitation operations in a timely manner when cardiac arrest occurs It can ensure the timing of rescue, greatly improve the survival rate of users, reduce the damage caused to users due to cardiac arrest, and can solve the technical problem of harm caused to cardiac arrest patients due to missed rescue opportunities in cardiac arrest in the prior art.

Embodiment three

FIG. 3 is a structural block diagram of a wearable device provided by Embodiment 3 of the present invention. This embodiment is applicable to the situation of processing physiological data. As shown in FIG. 3 , the wearable device may include: a sensor 301, a processing device 302 and feedback unit 303.

Among them, the sensor 301 is used to collect the user's physiological data; the processor 302 is used to identify the cardiac arrest rule based on the physiological data; the feedback unit 303 is used to perform the physiological data and the identification result feedback.

Optionally, the physiological data may include heart rate data, pulse wave data or electrocardiogram data.

Optionally, the processor 302 may specifically be used for:

If the pulse wave data disappears or the ratio between the pulse wave data and the normal pulse wave data is less than a first preset value, it is determined that a cardiac arrest phenomenon is recognized; or,

If the heart rate data and/or pulse wave data meet the apnea condition, it is determined that a cardiac arrest phenomenon is recognized; or,

If the frequency of the ventricular fibrillation wave in the electrocardiogram data reaches a second preset value or the ventricular wave disappears, it is determined that a cardiac arrest phenomenon is identified.

Optionally, the feedback unit 303 may be specifically configured to prompt the cardiopulmonary resuscitation operation by voice or image if the recognition result is that the physiological data conforms to the cardiac arrest rule.

Optionally, the processor 302 may also be configured to determine and give feedback on whether to adjust the cardiopulmonary resuscitation operation according to physiological data collected during the cardiopulmonary resuscitation operation after prompting the cardiopulmonary resuscitation operation by voice or image.

Optionally, the sensor 301 may specifically be used to regularly collect physiological data of the user after receiving the call for help instruction.

The wearable device provided by Embodiment 3 of the present invention belongs to the same inventive concept as the physiological data processing method provided by any embodiment of the present invention, can execute the physiological data processing method provided by any embodiment of the present invention, and has the ability to execute physiological data The processing method has corresponding functional modules and beneficial effects. For technical details not exhaustively described in this embodiment, refer to the physiological data processing method provided in any embodiment of the present invention.

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 (12)

1. A method of processing physiological data, comprising:

acquiring physiological data of a user through a sensor in a wearable device;

according to the physiological data, identifying based on a set cardiac arrest rule;

and feeding back the physiological data and the recognition result.

2. The method of claim 1, wherein the physiological data comprises heart rate data, pulse wave data, or electrocardiogram data.

3. The method of claim 2, wherein identifying based on a set cardiac arrest rule based on the physiological data comprises:

if the pulse wave data disappear or the ratio of the pulse wave data to the normal pulse wave data is smaller than a first preset value, determining that the sudden cardiac arrest phenomenon is identified; or,

if the heart rate data and/or the pulse wave data meet an apnea condition, determining that a sudden cardiac arrest phenomenon is identified; or,

and if the ventricular flutter wave frequency in the electrocardiogram data reaches a second preset value or the ventricular waves disappear, determining that the cardiac arrest phenomenon is identified.

4. The method of claim 1, wherein feeding back the physiological data and the recognition result comprises:

and if the identification result is that the physiological data accords with the cardiac arrest rule, prompting the cardio-pulmonary resuscitation operation in a voice or image mode.

5. The method of claim 4, wherein after prompting the cardiopulmonary resuscitation operation by voice or image, further comprising:

determining and feeding back whether to adjust the cardio pulmonary resuscitation operation or not according to the physiological data collected during the execution of the cardio pulmonary resuscitation operation.

6. The method of claim 1, wherein acquiring, by a wearable device, physiological data of a user comprises:

after receiving the distress call instruction, regularly acquiring physiological data of the user through a sensor in the wearable device.

7. A wearable device, comprising:

a sensor for collecting physiological data of a user;

a processor for identifying based on a set cardiac arrest rule based on the physiological data;

and the feedback unit is used for feeding back the physiological data and the identification result.

8. The device of claim 7, wherein the physiological data comprises heart rate data, pulse wave data, or electrocardiogram data.

9. The device of claim 8, wherein the processor is specifically configured to:

if the pulse wave data disappear or the ratio of the pulse wave data to the normal pulse wave data is smaller than a first preset value, determining that the sudden cardiac arrest phenomenon is identified; or,

if the heart rate data and/or the pulse wave data meet an apnea condition, determining that a sudden cardiac arrest phenomenon is identified; or,

and if the ventricular flutter wave frequency in the electrocardiogram data reaches a second preset value or the ventricular waves disappear, determining that the cardiac arrest phenomenon is identified.

10. The device according to claim 7, wherein the feedback unit is specifically configured to prompt a cardiopulmonary resuscitation operation by voice or image if the recognition result is that the physiological data complies with a cardiac arrest rule.

11. The apparatus of claim 10, wherein the processor is further configured to determine and feed back whether to adjust the cpr operation based on physiological data collected during the performance of the cpr operation after prompting the cpr operation by voice or image.

12. The apparatus of claim 7, wherein the sensor is specifically configured to periodically collect physiological data of the user after receiving the distress call.