Six-minute walking test system and method

Abstract

The invention discloses a six-minute walking test system and method, and the system comprises a motion collection device and a mobile device, and the motion collection device is connected with the mobile device through Bluetooth. The motion acquisition equipment comprises an electrocardio recorder, an oxyhemoglobin saturation instrument and a blood pressure instrument, and the electrocardio recorder is integrated with a motion sensor; the mobile equipment comprises a processor and a display screen serving as a display and input device, the display screen comprises a plurality of display areas, and the processor is used for executing the following operations: acquiring test data acquired by the motion acquisition equipment; according to the motion parameters, calculating motion data of the testee participating in the six-minute walking test; the test data and the motion data are displayed in different display areas in the form of charts or data. According to the embodiment of the invention, the motion sensor is integrated in the electrocardiogram recorder, so that the complexity of wearing equipment of the six-minute walking test system is simplified, and a test result can be directly displayed on mobile equipment.

Description

Technical Field

[0001] The invention belongs to the technical field of rehabilitation medical equipment, and in particular relates to a six-minute walk test system and method. Background Art

[0002] The six-minute walk test (6MWT) is a submaximal exercise test method used to assess the exercise endurance and cardiopulmonary function of participants. It can well replicate the daily physiological state of participants. The test method is simple, safe and easy to manage. It has become an important tool in clinical evaluation of participants' exercise capacity, cardiac function of participants with heart failure, treatment effect and prognosis.

[0003] The six-minute walk test requires recording the distance walked by the participants within 6 minutes and monitoring physiological parameters such as electrocardiogram, blood oxygen and blood pressure during exercise. The monitoring equipment uses a portable electrocardiograph, blood oximeter and blood pressure monitor. Existing measurement technologies for walking distance include: setting positioning device technology, setting Bluetooth beacon point technology, and wearing portable motion sensor device technology. When setting positioning devices or Bluetooth beacon point technology, the signal transmitter needs to be rearranged on the line every time the line is adjusted, which is complicated and has low measurement efficiency. When wearing motion sensor equipment technology, it needs to be tied to the ankle of the participant with a strap, or tied to the waist of the participant with a strap, or worn on the wrist. It requires auxiliary tools to wear, and the equipment has poor anti-interference ability.

[0004] Based on this, providing a system and method suitable for the six-minute walk test, simplifying the wearing equipment, improving the accuracy of automatic distance measurement, and better meeting clinical needs is an urgent problem to be solved by the present invention. Summary of the invention

[0005] The invention discloses a six-minute walk test system and method, so as to solve the problems of low measurement efficiency and poor anti-interference performance in the prior art.

[0006] In a first aspect of the present application, a six-minute walk test system is provided, comprising: a motion acquisition device and a mobile device, wherein the motion acquisition device and the mobile device are connected via Bluetooth; the motion acquisition device comprises: an electrocardiogram recorder, a blood oxygen saturation meter and a blood pressure meter, wherein the electrocardiogram recorder is integrated with a motion sensor;

[0007] The mobile device includes a processor and a display screen as a display and input device, the display screen includes multiple display areas, and the processor is used to perform the following operations:

[0008] Acquire test data collected by the motion collection device, wherein the test data includes electrocardiogram data, blood oxygen data, blood pressure data, and motion parameters measured by a motion sensor;

[0009] Calculating the exercise data of the participant in the six-minute walk test according to the exercise parameters, wherein the exercise data includes the number of steps, the number of laps and the distance;

[0010] The test data and exercise data are displayed in different display areas in the form of charts or data, wherein the electrocardiogram data is used to display the electrocardiogram, heart rate and heart rate curve, the blood oxygen data is used to display the blood oxygen saturation and blood oxygen curve, the blood pressure data is used to display the blood pressure, and the exercise data is used to display the number of steps, laps and distance.

[0011] Optionally, the plurality of display areas include at least a first area, a second area, a third area and a fourth area;

[0012] The first area is located near the top of the display screen, and the first area is divided into a plurality of sub-areas laterally, and the sub-areas are used to display heart rate, blood oxygen saturation, blood pressure and various sports data respectively;

[0013] The second area is located below the first area and is used to display an electrocardiogram;

[0014] The third area and the fourth area are located side by side below the second area, the third area is used to display the heart rate curve and the blood oxygen curve, and the fourth area is used to select or record abnormal events during the exercise process of the participant.

[0015] Optionally, the processor of the mobile device is further configured to perform the following operations:

[0016] Get the preset alarm threshold range;

[0017] Determining whether the test data meets the alarm threshold range;

[0018] If yes, it is determined that a first type of abnormal event has occurred;

[0019] The background color of the sub-region corresponding to the first type of abnormal event is marked red and flashing.

[0020] Optionally, the processor of the mobile device is further configured to perform the following operations:

[0021] According to the electrocardiogram data, the cardiac function state of the test participant is monitored in real time, and if the cardiac function state of the test participant is abnormal, it is determined that a second type of abnormal event has occurred;

[0022] The second type of abnormal event is marked and displayed on the display screen.

[0023] Optionally, the processor of the mobile device is further configured to perform the following operations:

[0024] Determining whether a selection or input action occurs in the fourth area;

[0025] If yes, then obtaining and recording event information corresponding to the selected or input action, wherein the event information is used to indicate an abnormal movement process event that occurred during the six-minute walk test for the participant;

[0026] Abnormal events during the movement process are recorded as the third type of abnormal events.

[0027] Optionally, the processor is further configured to perform the following operations:

[0028] Analyze the six-minute walk test evaluation indicators of the participants according to the test data and the exercise data, wherein the six-minute walk test evaluation indicators include the maximum walking distance prediction value, cardiopulmonary function classification, metabolic equivalents (METs), energy expenditure (EE) during exercise, training intensity of power bicycle, cardiac resilience related indicators, and heart rate variability function;

[0029] The six-minute walk test evaluation index is displayed on a display screen.

[0030] Optionally, the test data and the motion data are displayed in different display areas in the form of charts or data, including:

[0031] Select at least one of the motion acquisition devices to form a target device combination;

[0032] The test data and motion data corresponding to the target device combination are displayed in different display areas in the form of charts or data.

[0033] Optionally, the motion sensor is a 9-axis attitude angle sensor.

[0034] In a second aspect of the present application, a six-minute walk test method is provided, comprising:

[0035] Acquire test data collected by a motion collection device, wherein the test data includes electrocardiogram data, blood oxygen data, blood pressure data, and motion parameters measured by a motion sensor;

[0036] Calculating the exercise data of the participant in the six-minute walk test according to the exercise parameters, wherein the exercise data includes the number of steps, the number of laps and the distance;

[0037] The test data and exercise data are displayed in different display areas in the form of charts or data, wherein the electrocardiogram data is used to display the electrocardiogram, heart rate and heart rate curve, the blood oxygen data is used to display the blood oxygen saturation and blood oxygen curve, the blood pressure data is used to display the blood pressure, and the exercise data is used to display the number of steps, laps and distance.

[0038] A third aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps in the method provided in the second aspect.

[0039] In the prior art, test participants are required to carry motion sensors separately. This embodiment integrates the motion sensor into the electrocardiograph, which simplifies the complexity of the wearable device of the six-minute walk test system. In addition, this embodiment calculates the motion data sent by the motion acquisition device in the mobile device, and can directly display the test results on the mobile device. At the same time, the 9-axis motion sensor is used to improve the accuracy of distance calculation. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of a scenario provided by an embodiment of the present invention;

[0041] Figure 2 The processor provided by the embodiment of the present invention performs the steps of a six-minute walk test;

[0042] Figure 3 A schematic diagram of a display area of ​​a display screen provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Reference Figure 1 As shown in the schematic diagram of the scenario, an embodiment of the present application provides a six-minute walking test system, including: a motion acquisition device 1 and a mobile device 2, wherein the motion acquisition device 1 and the mobile device 2 are connected via Bluetooth.

[0045] The motion acquisition device 1 includes: an electrocardiogram recorder, a blood oxygen saturation meter and a blood pressure meter, and the electrocardiogram recorder is integrated with a motion sensor.

[0046] The electrocardiogram recorder is used to record electrocardiogram data and motion parameters of human body motion, and is worn at the fourth intercostal space on the left side of the sternum of the human body in a patch-type manner. The electrocardiogram sensor for measuring electrocardiogram adopts an ADS1292 chip, and the electrocardiogram data is obtained by using the electrocardiogram sensor.

[0047] The ECG recorder is integrated with a motion sensor for measuring distance. The motion sensor uses a 9-axis attitude angle sensor JY901S chip, and uses the motion sensor to obtain speed, acceleration and angular velocity data. The dynamic ECG recorder has a normal transmission distance of 30m, and can smoothly transmit ECG data, speed, acceleration, angular velocity 9-axis data through the Bluetooth BLE protocol. The device has a charging function and a magnetic field calibration interface.

[0048] The mobile device 2 includes a processor 21 and a display screen 22 as a display and input device. The display screen 22 includes multiple display areas, such as Figure 2 As shown, the processor 21 is used to perform the following operations:

[0049] Step 211, acquiring the test data collected by the motion collection device, wherein the test data includes electrocardiogram data, blood oxygen data, blood pressure data, and motion parameters measured by a motion sensor.

[0050] In this embodiment, the ECG recorder, the blood oxygen saturation meter, and the blood pressure meter are all equipped with Bluetooth, and the ECG data, blood oxygen data, and blood pressure data are transmitted to the mobile device via the Bluetooth BLE protocol.

[0051] Step 212, calculating the motion data of the participant participating in the six-minute walk test based on the motion parameters, the motion data including the number of steps, the number of laps and the distance.

[0052] In this step, the processor obtains the data of the 9-axis attitude angle sensor, converts the real-time angular data into the angular data in the Mardia coordinate system, and calculates the number of U-turns and the number of laps based on the dynamic threshold. According to the preset six-minute one-way distance and the number of steps obtained by the motion sensor, the average stride length can be calculated using the following formula: Average stride length = number of U-turns * one-way distance / number of steps. Therefore, the distance during the walking test can be calculated using the following formula: Distance = number of U-turns * one-way distance + number of steps in the last half lap * average stride length.

[0053] Step 213, displaying the test data and exercise data in different display areas in the form of charts or data, wherein the electrocardiogram data is used to display the electrocardiogram, heart rate and heart rate curve, the blood oxygen data is used to display the blood oxygen saturation and blood oxygen curve, the blood pressure data is used to display the blood pressure, and the exercise data is used to display the number of steps, laps and distance.

[0054] In this embodiment, the entire test process includes a preparation phase, a test phase, and a recovery phase. In the preparation phase, check whether the device connection is intact, whether the device is worn intact, and whether the physiological data of the test participants are stable before the test. Only when the above conditions are met can the test conditions be met. Then, before the test, test blood pressure, resting heart rate, blood oxygen, fill in Borg dyspnea score, Borg fatigue score, MMRC score, whether medication is used before the test, whether oxygen is inhaled before the test, and whether a 6-minute walking test has been participated in. In the test phase, a 6-minute countdown test is performed, accompanied by voice broadcasts to guide the test participants to start walking. The ECG data, heart rate, and blood oxygen collected during the exercise are visualized in the form of charts, and the automatically calculated laps and distances are displayed in the form of text. If the test participants give up the test, are physically exhausted, have difficulty breathing, have accelerated heartbeats, etc., the test can be ended in advance and the reason for the end can be filled in. If the test is not ended in advance, the test will automatically end after the 6-minute test time is reached. During the recovery phase, the physical condition of the participants after the test was recorded, including blood pressure after the test, symptoms after the test, Borg dyspnea score, and Borg fatigue score.

[0055] Since clinicians in different departments need to pay attention to different test data, doctors can select data to display as needed. Step 213 specifically includes the following steps: selecting at least one of the motion acquisition devices to form a target device combination; displaying the test data and motion data corresponding to the target device combination in the form of charts or data in different display areas.

[0056] For example, if you select a Holter recorder, the test page displays the ECG, heart rate, and distance parameters, but other information is not displayed. If you select a Holter recorder or blood pressure monitor, the test page displays the ECG, heart rate, blood oxygen, and distance parameters, but other information is not displayed. If you select a Holter recorder or blood pressure monitor, the test page displays the ECG, heart rate, blood pressure, and distance parameters, but other information is not displayed.

[0057] In the prior art, test participants are required to carry motion sensors separately. This embodiment integrates the motion sensor into the electrocardiograph, which simplifies the complexity of the wearable device of the six-minute walk test system. In addition, this embodiment calculates the motion data sent by the motion acquisition device in the mobile device, and can directly display the test results on the mobile device. At the same time, the 9-axis motion sensor is used to improve the accuracy of distance calculation.

[0058] Further, refer to Figure 1As shown in the scene diagram, this embodiment also provides a rehabilitation management system, which includes a motion acquisition device 1, a mobile device 2, a rehabilitation management platform 3 and a hospital His (Hospital Information System) system 4. The test data and motion parameters obtained by the mobile device, as well as the calculated motion data such as the distance, can be directly uploaded to the rehabilitation management platform. The rehabilitation management platform has data statistics, data analysis, and data interaction functions, and can display detailed test records. The rehabilitation management platform can be connected to the hospital His system to upload signed reports or pull other data.

[0059] In the prior art, test data and motion data are usually transmitted via a network to a walking test workstation set up at the doctor's end, where data is calculated, analyzed, and displayed. This method requires a fixed site and is not convenient to use. In an embodiment of the present invention, a mobile device processes and analyzes data and can display it on a display screen. Test data can also be uploaded to a rehabilitation management platform, achieving a convenient and simple effect.

[0060] Reference Figure 3 The multiple display areas at least include a first area 201, a second area 202, a third area 203 and a fourth area 204.

[0061] The first area 201 is located near the top of the display screen 22, and the first area 201 is horizontally divided into multiple sub-areas, which are used to display heart rate, blood oxygen saturation, blood pressure and various motion data. The second area 202 is located below the first area 201 and is used to display an electrocardiogram. The third area 203 and the fourth area 204 are located side by side below the second area 202, and the third area 203 is used to display the heart rate curve and the blood oxygen curve. The fourth area 204 is used to select or enter abnormal events in the exercise process of the participants, and the abnormal events in the exercise process are used to indicate abnormal events such as dizziness, palpitations, and chest tightness that occur in the six-minute walking test of the participants. Optionally, the fourth area is provided with event records that facilitate users to perform click operations and a custom event input box that facilitates user input. Optionally, the position above the first area and near the top of the display screen is used to display the basic information of the participants.

[0062] In this embodiment, only the above-mentioned area division of the display interface is provided, but it is understandable that there can be other multiple area division methods. Further, the above-mentioned interface is only used to display the test data of the test phase. In addition, after the test is completed, the test results of the test data and motion data after processing and analysis can also be displayed on the display screen.

[0063] In this embodiment, the processor is further provided with an abnormal event management module, and the management objects include the first type of abnormal events, the second type of abnormal events and the third type of abnormal events.

[0064] Among them, the first type of abnormal events indicate the test data measured by the participants during the test, or other physiological parameters calculated from the test data. Therefore, the first type of abnormal events are also called physiological parameter abnormal events.

[0065] In this embodiment, the processor of the mobile device is further configured to perform the following operations:

[0066] Step 2101, obtaining a preset alarm threshold range.

[0067] In this step, the alarm threshold range is entered through the display screen, and the heart rate, blood oxygen, and blood pressure thresholds are usually set. For example, the blood pressure alarm threshold range is: 90mmHg < high pressure < 140mmHg, 60mmHg < low pressure < 90mmHg; the heart rate alarm value threshold range is: > 220bpm; the blood oxygen alarm threshold range is: < 95%. Each alarm threshold range can be set according to the actual situation of the parameter personnel.

[0068] Step 2102, determining whether the test data meets the alarm threshold range.

[0069] During the walking test, various physiological parameters are monitored in real time. If any physiological parameter meets the alarm threshold range of step 2101, the operation of step 2103 is executed; if the physiological parameters are not within the alarm threshold range, it means that the physiological parameters of the participant are normal.

[0070] Step 2103: If yes, it is determined that a first type of abnormal event has occurred.

[0071] Step 2104: Mark the background color of the sub-region corresponding to the first type of abnormal event in red and make it flash.

[0072] In this embodiment, the first type of abnormal event management is adopted to avoid accidents. When the highest or lowest threshold is exceeded, the system will give a voice prompt and the text background will turn red and flash. During exercise, the prompt function can be turned off to actively judge abnormalities.

[0073] Furthermore, the second type of abnormal events are used to capture abnormalities in the electrocardiogram during exercise, such as arrhythmias, supraventricular premature beats, etc., to monitor the patient's cardiac function status in real time and determine whether the second type of abnormal events occur. Therefore, the second type of abnormal events can also be called electrocardiogram abnormal events.

[0074] In this embodiment, the processor of the mobile device is further configured to perform the following operations:

[0075] Step 2105, based on the electrocardiogram data, the cardiac function status of the test subject is monitored in real time. If the cardiac function status of the test subject is abnormal, it is determined that a second type of abnormal event has occurred.

[0076] Step 2106: Mark and display the second type of abnormal event on the display screen.

[0077] Furthermore, the third type of abnormal events is used to capture abnormalities that occur in patients during exercise, such as oxygen inhalation, chest tightness, rest, dizziness, etc., and record abnormalities that occur during the actual test in real time. Therefore, it can also be called abnormal events during exercise.

[0078] In this embodiment, the processor of the mobile device is further configured to perform the following operations:

[0079] Step 2107, determining whether a selection or input action occurs in the fourth area.

[0080] In this step, if a selection or input action occurs in the fourth area, the operation of step 2108 is executed; if not, it means that no abnormal movement process event occurred during the test for the participant.

[0081] Step 2108, if yes, then obtain and record the event information corresponding to the selected or entered action, wherein the event information is used to indicate abnormal events that occurred during the exercise process of the participant during the six-minute walk test.

[0082] Step 2109, recording the abnormal event of the motion process as a third type of abnormal event.

[0083] In this embodiment, a readable storage medium for storing an executable program is provided in the mobile device, and the third type of abnormal event is recorded in the readable storage medium of the mobile device.

[0084] In this embodiment, the processor 21 is further configured to perform the following operations:

[0085] Step 2110, analyzing the six-minute walk test evaluation indicators of the participants based on the test data and the exercise data, the six-minute walk test evaluation indicators including the maximum walking distance prediction value, cardiopulmonary function classification, metabolic equivalents METs, energy expenditure EE during exercise, training intensity of power bicycle, cardiac resilience related indicators, and heart rate variability function.

[0086] Step 2111, displaying the six-minute walk test evaluation index on a display screen.

[0087] According to the consensus of cardiac rehabilitation experts, the cardiopulmonary assessment parameters of the six-minute walk test include: estimated maximum walking distance, cardiopulmonary function classification, metabolic equivalents (METs), energy expenditure (EE) during exercise, training intensity of power bicycle, indicators related to cardiac resilience, and heart rate variability function. Therefore, these indicators are used as the evaluation indicators of the six-minute walk test. The following explains how to calculate each indicator.

[0088] Estimated maximum walking distance: Men: Normal estimated walking distance = [7.57×height (cm)] - (5.02×age) - [1.76×weight (kg)] - 309; Women: Normal estimated walking distance = [2.11×height (cm)] - (5.78×age) - [2.29×weight (kg)] + 667.

[0089] Cardiopulmonary function classification: Grade I: <300m; Grade 2: 300-374.9m; Grade 3: 375-449.5m; Grade 4: >450m;

[0090] Metabolic equivalent predicted value: METs = [4.948 + 0.023 × six-minute walk test measured distance (meters)] / 3.5.

[0091] Energy expenditure during exercise: EE (kcal / min) = METs × 3.5 × kg body weight / 200.

[0092] Training intensity of power bike: Power bike intensity (watt) = intensity coefficient × [0.122 * six-minute walk test measured distance (meters) + 72.683 × height (meters) – 117.109].

[0093] Indicators related to the cardiac resilience of participants include resting heart rate, maximum heart rate, heart rate reserve percentage, and exercise cardiopulmonary recovery indicators.

[0094] Resting heart rate: the heart rate when the body is in a calm state, the normal range is 60-80 BPM. Research and clinical practice have shown that abnormal resting heart rate, especially abnormal changes, is a sign of increased hospitalization and mortality rates. The resting heart rate of the present invention is: the average heart rate 1 minute before the exercise test.

[0095] Maximum heart rate: During exercise, a high heart rate may cause harm, including palpitations, shortness of breath, syncope, etc. In severe cases, it may also lead to pulmonary edema and acute heart failure. The maximum heart rate of the present invention is the maximum heart rate during the exercise test.

[0096] The heart rate reserve percentage is the maximum dynamic range that the heart can reach in response to exercise. This depends not only on the activity of the heart itself, but also on the autonomic nervous system's regulatory ability. The heart rate reserve HRR of the present invention = (maximum heart rate - resting heart rate) / (target heart rate - resting heart rate) × 100.

[0097] Exercise cardiopulmonary recovery is the speed at which the heart rate recovers to the resting heart rate after the exercise stops, which is a risk index for cardiovascular disease. The exercise cardiopulmonary recovery HRE of the present invention = maximum heart rate - heart rate at the end of the test recovery.

[0098] Heart rate variability (HRV) is one of the objective indicators of the dynamic balance of the sympathetic nerves and the vagus nerves, and is a non-invasive detection tool for the regulation function of the autonomic nerves. Studies have shown that HRV imbalance is associated with a variety of cardiovascular diseases, such as essential hypertension, angina pectoris, myocardial infarction, heart failure, myocardial ischemia, etc. Reduced HRV is a predictor of the risk of death after acute myocardial infarction (AMI); reduced HRV is an early warning of neuropathy in diabetes. The higher the HRV level, the better the heart's regulatory ability.

[0099] The most commonly used HRV analysis methods are time domain analysis and frequency domain analysis. The time domain analysis method can be calculated using a simple formula, and the frequency domain analysis method uses a discrete Fourier transform model to convert the collected ECG signal into frequency and express it in the form of power spectrum density. Common HRV indicators are as follows:

[0100] Table 1 Description of common HRV indicators

[0101]

[0102]

[0103] This embodiment flexibly displays necessary information during exercise according to the configuration, records abnormal events during the walking test, and achieves the purpose of accurately evaluating the patient's clinical exercise tolerance and rehabilitation effect. The processor 21 is also used to write conclusion information, print out PDF reports, and can be exported to other rehabilitation management systems, and upload data to the rehabilitation management platform.

[0104] Another embodiment of the present application provides a six-minute walking test method, which is applied to a processor of a mobile device, and the method includes the following steps:

[0105] Acquire test data collected by the motion collection device, wherein the test data includes electrocardiogram data, blood oxygen data, blood pressure data, and motion parameters measured by a motion sensor;

[0106] Calculating the exercise data of the participant in the six-minute walk test according to the exercise parameters, wherein the exercise data includes the number of steps, the number of laps and the distance;

[0107] The test data and exercise data are displayed in different display areas in the form of charts or data, wherein the electrocardiogram data is used to display the electrocardiogram, heart rate and heart rate curve, the blood oxygen data is used to display the blood oxygen saturation and blood oxygen curve, the blood pressure data is used to display the blood pressure, and the exercise data is used to display the number of steps, laps and distance.

[0108] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in a six-minute walk test method are implemented.

[0109] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A six-minute walk test system, characterized in that: include: A motion acquisition device and a mobile device, wherein the motion acquisition device and the mobile device are connected via Bluetooth; the motion acquisition device comprises: an electrocardiogram recorder, a blood oxygen saturation meter and a blood pressure meter, and the electrocardiogram recorder is integrated with a motion sensor; The mobile device includes a processor and a display screen as a display and input device, the display screen includes multiple display areas, and the processor is used to perform the following operations: Acquire test data collected by the motion collection device, wherein the test data includes electrocardiogram data, blood oxygen data, blood pressure data, and motion parameters measured by a motion sensor; Calculating the exercise data of the participant in the six-minute walk test according to the exercise parameters, wherein the exercise data includes the number of steps, the number of laps and the distance; The test data and exercise data are displayed in different display areas in the form of charts or data, wherein the electrocardiogram data is used to display the electrocardiogram, heart rate and heart rate curve, the blood oxygen data is used to display the blood oxygen saturation and blood oxygen curve, the blood pressure data is used to display the blood pressure, and the exercise data is used to display the number of steps, laps and distance.

2. A six-minute walk test system according to claim 1, characterized in that: The plurality of display areas at least include a first area, a second area, a third area and a fourth area; The first area is located near the top of the display screen, and the first area is divided into a plurality of sub-areas laterally, and the sub-areas are used to display heart rate, blood oxygen saturation, blood pressure and various sports data respectively; The second area is located below the first area and is used to display an electrocardiogram; The third area and the fourth area are located side by side below the second area, the third area is used to display the heart rate curve and the blood oxygen curve, and the fourth area is used to select or record abnormal events during the exercise process of the participant.

3. A six-minute walk test system according to claim 2, characterized in that: The processor of the mobile device is further configured to perform the following operations: Get the preset alarm threshold range; Determining whether the test data meets the alarm threshold range; If yes, it is determined that a first type of abnormal event has occurred; The background color of the sub-region corresponding to the first type of abnormal event is marked red and flashing.

4. A six-minute walk test system according to claim 2, characterized in that: The processor of the mobile device is further configured to perform the following operations: According to the electrocardiogram data, the cardiac function state of the test participant is monitored in real time, and if the cardiac function state of the test participant is abnormal, it is determined that a second type of abnormal event has occurred; The second type of abnormal event is marked and displayed on the display screen.

5. A six-minute walk test system according to claim 2, characterized in that: The processor of the mobile device is further configured to perform the following operations: Determining whether a selection or input action occurs in the fourth area; If yes, then obtaining and recording event information corresponding to the selected or input action, wherein the event information is used to indicate an abnormal movement process event that occurred during the six-minute walk test for the participant; Abnormal events during the movement process are recorded as the third type of abnormal events.

6. A six-minute walk test system according to claim 1, characterized in that: The processor is further configured to perform the following operations: Analyze the six-minute walk test evaluation indicators of the participants according to the test data and the exercise data, wherein the six-minute walk test evaluation indicators include the maximum walking distance prediction value, cardiopulmonary function classification, metabolic equivalents (METs), energy expenditure (EE) during exercise, training intensity of power bicycle, cardiac resilience related indicators, and heart rate variability function; The six-minute walk test evaluation index is displayed on a display screen.

7. A six-minute walk test system according to claim 1, characterized in that: The test data and motion data are displayed in different display areas in the form of charts or data, including: Select at least one of the motion acquisition devices to form a target device combination; The test data and motion data corresponding to the target device combination are displayed in different display areas in the form of charts or data.

8. A six-minute walk test system according to any one of claims 1 to 7, characterized in that: The motion sensor is a 9-axis attitude angle sensor.

9. A six-minute walk test method, characterized in that: include: Acquire test data collected by a motion collection device, wherein the test data includes electrocardiogram data, blood oxygen data, blood pressure data, and motion parameters measured by a motion sensor; Calculating the exercise data of the participant in the six-minute walk test according to the exercise parameters, wherein the exercise data includes the number of steps, the number of laps and the distance; The test data and exercise data are displayed in different display areas in the form of charts or data, wherein the electrocardiogram data is used to display the electrocardiogram, heart rate and heart rate curve, the blood oxygen data is used to display the blood oxygen saturation and blood oxygen curve, the blood pressure data is used to display the blood pressure, and the exercise data is used to display the number of steps, laps and distance.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to claim 9 are implemented.

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