CN112097788A - Method for measuring walking distance in 6-minute walking test - Google Patents
Method for measuring walking distance in 6-minute walking test Download PDFInfo
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- 238000012360 testing method Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims description 26
- 230000036772 blood pressure Effects 0.000 claims abstract description 19
- 238000010998 test method Methods 0.000 claims abstract description 7
- 210000000707 wrist Anatomy 0.000 claims abstract description 7
- 239000008280 blood Substances 0.000 claims abstract description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 5
- 210000004369 blood Anatomy 0.000 claims abstract description 5
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 5
- 239000001301 oxygen Substances 0.000 claims abstract description 5
- 230000036284 oxygen consumption Effects 0.000 claims abstract description 5
- 230000002093 peripheral effect Effects 0.000 claims description 2
- 238000004590 computer program Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000000747 cardiac effect Effects 0.000 description 2
- 229910003798 SPO2 Inorganic materials 0.000 description 1
- 101100478210 Schizosaccharomyces pombe (strain 972 / ATCC 24843) spo2 gene Proteins 0.000 description 1
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- WABPQHHGFIMREM-UHFFFAOYSA-N lead(0) Chemical compound [Pb] WABPQHHGFIMREM-UHFFFAOYSA-N 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
- 230000000284 resting effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
- G01C22/006—Pedometers
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
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Abstract
The invention discloses a 6-minute walking test method. Firstly, two road piles are placed for limiting a walking route, one iBeacon device is placed on each road pile, and the distance between the two road piles is a fixed distance determined in advance. Secondly, the mobile phone equipment is fixed on the right arm by the armband to be tested, the electrocardio test equipment is fixed between the waist by the braces to be tested, and the pulse oximeter is fixed at the wrist by the wrist band to be tested. And thirdly, broadcasting the equipment name by the iBeacon equipment, reading a received signal field intensity indicated value of the iBeacon equipment by the mobile phone equipment, and connecting and exchanging data with the computer equipment through the WiFi router. Meanwhile, the computer equipment is also connected with the electrocardio test equipment and the pulse oximeter through Bluetooth and receives data. Finally, the computer device can collect and display real-time steps, walking speed, exercise equivalence, heart rate, blood pressure, blood oxygen saturation, oxygen consumption, and Borg values over the course of a 6 minute walk. After walking is finished, a trend graph can be generated according to real-time data and a 6-minute walking test report can be automatically generated.
Description
Technical Field
The present invention relates to a 6-minute walk test method and apparatus, and a computer program product thereof, and more particularly, to a 6-minute walk test method and apparatus in which a road pile is used to fix a distance and an iBeacon device is placed on the road pile, and a computer program product thereof.
Background
In the traditional 6-minute walking test, the walking distance is manually recorded, so that not only is the manpower wasted, but also errors occur in the calculation of the distance; secondly, the walking speed and the equivalent motion (METs value) in the motion process cannot be calculated; it is also impossible to display various data in real time at the same time, such as: heart Rate (Heart Rate, HR), Blood Pressure (BP), Blood oxygen saturation (SpO2), Borg value, oxygen consumption (VO 2). In addition, in the traditional 6-minute walking test, a dynamic electrocardiogram blood pressure test device is adopted, the accuracy of electrocardiosignals is not high and is not stable, and blood pressure data can only obtain values in a resting state, so that the blood pressure value in the exercise process cannot be monitored in real time.
Disclosure of Invention
In view of the above, the invention provides a 6-minute walking test method and apparatus and a computer program product thereof, wherein a fixed distance is defined by two road piles, iBeacon equipment is placed on the road piles and a real-time equipment name is broadcasted, and the mobile phone equipment on the right arm to be tested can not only obtain walking steps and walking distance by using an accelerometer and a gyroscope, but also receive the equipment name of the iBeacon equipment and a Received Signal Strength Indicator (RSSI) value. The computer device receives real-time walking steps, walking distance and RSSI values sent from the mobile phone device through the WiFi router, and also receives HR, BP, SpO2 and VO2 data collected from the electrocardio testing device and the pulse oximeter through Bluetooth and Borg values input through peripheral equipment. In this way, the computer device can simultaneously display various data in real time, and automatically generate a trend chart and a report after the 6-minute walking test is finished.
According to a first aspect of the present invention there is provided a 6 minute walk test method comprising the following steps. First, two road piles are placed and a fixed distance is specified. The method comprises the steps that two iBeacon devices are respectively placed on two road piles, the names of the devices are broadcast by the two iBeacon devices, the mobile phone devices are fixed on the right arm through arm belts in the walking test process to be tested, walking is carried out back and forth between the two road piles, the mobile phone devices receive the device names and the real-time RSSI values of the iBeacon devices, the mobile phone devices generate real-time walking steps and walking distances through an accelerometer and a gyroscope, the mobile phone devices send the device names and the real-time RSSI values of the iBeacon devices through a WiFi router, the walking steps and the walking distances, the cardiac electricity test devices are fixed at the waist through braces in the walking test process to be tested, the pulse oximeter is fixed at the wrist through a wrist strap, and the computer devices receive the device names and the real-time RSSI values of the iBeacon devices sent by the mobile phone devices through the WiFi router, and the walking steps and the. Meanwhile, the computer equipment receives HR, BP, SpO2 and VO2 data acquired by the electrocardio testing equipment and the pulse oximeter in real time through Bluetooth.
According to a second aspect of the invention, a computer program product is presented. Firstly, the walking distance generated by the mobile phone device by using an accelerometer and a gyroscope is corrected in real time according to the RSSI value and the fixed distance of the iBeacon device, so that the errors of the measured walking distance and the actual walking distance are reduced.
The specific algorithm is as follows.
Every 1 second interval, the computer device received the RSSI values and walking distance values for 2 iBeacon devices. It is not assumed that RSSI _ a1, RSSI _ B1, Distance _1, RSSI _ a2, RSSI _ B2, Distance _2, …, RSSI _ At, RSSI _ Bt, and Distance _ t are used, where RSSI _ At represents the RSSI value of the a iBeacon device At time t, RSSI _ Bt represents the RSSI value of the B iBeacon device At time t, and Distance _ t represents the Distance to be measured to walk At time t. The argument of the above data is time, and 1 unit is 1 second. The above data are a function of RSSI over time and Distance over time.
Converting the RSSI function and the Distance function of time into the RSSI function of Distance at each iBeacon device, wherein the argument of the function is Distance, takes 1 decimeter as a unit, and defines the domain as 0 to the current maximum walking Distance, and the argument of the function is the RSSI value. If there is no RSSI value at a certain distance point, then the method of linear interpolation is used to approximate the RSSI value at the distance point. Let RSSI value of d0 distance point be RSSI0 and RSSI value of d1 distance point be RSSI1, however, if there is no RSSI value of d distance point, linear interpolation is used to approximate the RSSI value of d distance point. Wherein the d0 distance point and the d1 distance point are the closest distance points from the d distance point with RSSI values, and d0< d < d 1.
Not taking fA (d) as an example:
subtracting the RSSI function with respect to distance fa (d) from fb (d) yields the function f (d) = fa (d) -fb (d), and then low-pass filtering the function f (d) yields the RSSI function with respect to distance lf (d).
And performing FFT on the LF (d) in a spatial domain according to a function LF (d) of the RSSI relative to the distance, and estimating the period T of the function LF (d).
And the real value of the period T of the lf (D) function is 2 times the fixed distance 2 x D, where D is the known fixed distance between the 2 road studs in the present invention.
The correction factor for the resulting distance is coef = 2 × D/T.
Thus, the walking Distance at the time t after correction is Distance _ t × coef.
Then, a walking distance increment at a fixed time interval is obtained from the corrected walking distance, and a real-time walking speed and METs are generated. Let the walking Distance at time t1 be Distance _1 and the walking Distance at time t2 be Distance _2, where t2> t1, then the coefficient coef is corrected based on the Distance as described above.
The real-time Speed estimate Speed (t1) = (Distance _ 2-Distance _1) × coef/(t2-t 1).
According to the functional relation between the motion equivalent METs and the real-time Speed, further estimating the motion equivalent at a certain time t: mets (t) = 1 + 0.474 × speed (t).
According to the real-time speed, METs provided by the method, the computer equipment can display the walking steps, walking speed and walking distance measured in the 6-minute walking test, HR, BP and SPO2 data acquired by the electrocardio equipment and the pulse oximeter in real time, and a Borg value provided by the computer equipment in real time. Wherein the real-time walking steps are provided by the handset device.
Drawings
FIG. 1 is a flow chart of a method according to the present invention.
FIG. 2 is a block diagram of a method according to the present invention.
FIG. 3 is a schematic diagram of a method according to the present invention.
[ main device notation ] in the specification.
200: iBeacon equipment.
210: provided is a mobile phone device.
220: a computer device.
230: a pulse oximeter.
240: an electrocardio testing device.
Detailed Description
The embodiments of the present invention will be described in detail below.
Referring to fig. 1, a flow chart of a method according to an embodiment of the invention is shown. The method comprises the following steps S110 to S119. The sequence of steps S110-S119 is for illustrative purposes only and is not intended to limit the implementation of the method. One embodiment will be described as an example.
First, in step S110, two road piles are placed and a fixed distance is defined. Next, in step S120, two iBeacon devices are respectively placed on the two road piles, and the two iBeacon devices broadcast the device name and the RSSI value.
Next, in step S130, the mobile phone device is fixed to the right arm by the arm band during the walking test, and the person walks back and forth between the two road piles.
Next, in step S140, the mobile device receives the device name and the real-time RSSI value of the iBeacon device.
In addition, in step S150, the mobile phone device generates real-time walking step number and walking distance through the accelerometer and the gyroscope.
Next, in step S160, the mobile phone device sends the device name and the real-time RSSI value of the iBeacon device, the number of walking steps, and the walking distance through the WIFI router.
Next, in step S170, the cardiac test device is fixed to the waist by the strap and the pulse oximeter is fixed to the wrist by the strap during the walking test.
Next, in step S180, the computer device may receive, through the WIFI router, the device name and the real-time RSSI value of the iBeacon device, the number of walking steps, and the walking distance of the iBeacon device, which are sent by the mobile phone device.
Finally, in step S190, the computer device receives, through bluetooth, the METs value, HR, BP, SpO2, and VO2 data collected by the electrocardiograph and the pulse oximeter in real time.
The following detailed description will be made in conjunction with a plurality of drawings by applying the method of the present invention shown in fig. 1. Referring to fig. 2, a block diagram of a method according to an embodiment of the invention is shown. The 6-minute walk test method and apparatus includes an iBeacon device group 200, a mobile phone device 210, a computer device 220, a pulse oximeter 230, and an ECG testing device 240.
The equipment group 200 is composed of two road piles and two iBeacon equipments, and the distance is specified by the road piles.
The mobile phone device 210 receives the device name and the real-time RSSI value of the iBeacon device, and during the test, the mobile phone device walks back and forth between the two road piles to generate the real-time number of steps and the walking distance through the accelerometer and the gyroscope.
The computer device 220 provides a computer program product for correcting the walking distance generated by the mobile phone device using the accelerometer and the gyroscope in real time according to the RSSI value and the fixed distance of the iBeacon device, thereby reducing errors in measuring the walking distance and the actual walking distance.
The pulse oximeter 230 monitors signals by using a finger clip type probe, and prompts the acquired data to be transmitted to the computer equipment in real time through Bluetooth.
The electrocardiogram test device 240 comprises an electrocardiogram acquisition module, a blood pressure acquisition module and a Bluetooth data connection module, and can transmit acquired data to a computer device through the Bluetooth data connection module.
Preferably, the electrocardio-measuring device is a sports electrocardio-blood pressure two-in-one measuring device. Adopting a 10-lead patient lead wire to collect electrocardiosignals, and using a microphone cuff to collect blood pressure signals. The blood pressure acquisition frequency can be set during the exercise test, and the blood pressure acquisition frequency can be set to be measured once before and after the exercise respectively, and the blood pressure acquisition frequency is measured once every minute during the exercise.
Finally, the walking steps, walking speed, walking distance, METs value, HR, BP, SpO2, VO2 data obtained from the 6 minute walking test were displayed in real time by a computer device and automatically stored in the form of a report for reading.
With the above embodiments in mind, reference is made to FIG. 3, which is a schematic diagram illustrating a method according to an embodiment of the invention. After the road piles are placed at a predetermined distance and fixed in position, the computer equipment may be preferably placed at the center of the road piles at both ends in order to achieve the best signal receiving state. The method is simple to implement and convenient to carry, and preferably, the walking distance and walking step number of the test are measured by adopting the iBeacon equipment and the mobile phone equipment, so that the method can reduce the error to the minimum and can also avoid unnecessary interference in the movement process.
While the invention has been described with reference to the preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. Those skilled in the art to which the invention pertains will appreciate that various modifications and alterations may be made without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be determined by the following claims.
Claims (4)
1. A 6 minute walk test method, the apparatus comprising:
placing two road piles, and setting a fixed distance;
respectively placing two iBeacon devices on the two road piles;
broadcasting equipment names by two iBeacon equipment;
the tested mobile phone equipment is fixed on the right arm by an arm belt in the walking test process, and the mobile phone equipment walks back and forth between the two road piles;
reading a received signal field intensity indicated value of iBeacon equipment by mobile phone equipment;
the mobile phone equipment generates real-time walking step number and walking distance through an accelerometer and a gyroscope;
the mobile phone equipment sends the equipment name of the iBeacon equipment and a real-time received signal field intensity indicated value, walking step number and walking distance through the WiFi router;
fixing the electrocardiogram test equipment between the waist by using a strap and fixing the pulse oximeter at the wrist by using a wrist strap in the walking test process;
the electrocardio-measuring device and the pulse oximeter send heart rate, blood pressure, blood oxygen saturation and oxygen consumption data through Bluetooth;
the computer equipment receives the equipment name of the iBeacon equipment and a real-time received signal field intensity indicated value, walking step number and walking distance sent by the mobile phone equipment through the WiFi router, and also receives heart rate, blood pressure, blood oxygen saturation and oxygen consumption data through Bluetooth;
the computer device inputs Borg value in real time through the peripheral.
2. The method of claim 1, generating the RSSI as a function of distance based on the fixed distance and real-time RSSI values and walking distance, and correcting walking distance generated by the handset device, thereby reducing errors in measuring walking distance and actual walking distance.
3. The method of claim 2, generating real-time walking speed and motion equivalents based on increments of corrected walking distance over fixed time intervals.
4. The method of claim 3, wherein the computer device displays in real time the measured walking steps, walking speed, exercise equivalence, heart rate, blood pressure, blood oxygen saturation, oxygen consumption, and Borg values for a 6 minute walk test.
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Cited By (3)
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---|---|---|---|---|
CN113729656A (en) * | 2021-09-29 | 2021-12-03 | 山东大学齐鲁医院 | Wearable six-minute walking test device |
CN116058830A (en) * | 2022-12-26 | 2023-05-05 | 上海电气智能康复医疗科技有限公司 | Walking capacity measuring system |
CN116649940A (en) * | 2023-07-12 | 2023-08-29 | 深圳市经纬科技有限公司 | Remote monitoring system and method for wearable equipment |
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CN116649940B (en) * | 2023-07-12 | 2023-09-29 | 深圳市经纬科技有限公司 | Remote monitoring system and method for wearable equipment |
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