Fall prevention method, system, electronic device and storage medium based on cardiopulmonary function training

Abstract

The embodiment of the present application provides a method for preventing falls in cardiopulmonary function training, which relates to the field of data processing technology, including a host computer, a power bike, a tension sensor, a weight-reducing device, and a weight-reducing sling. The tension sensor is used to detect the current tension value of the weight-reducing device on the patient training on the power bike; it is determined whether the current tension value meets the balance limit condition, and the weight-reducing value to be reduced for the patient is determined according to the current tension value that meets the balance limit condition; the weight-reducing device is controlled to adjust the current tension value according to the weight-reducing value to be reduced. The embodiment of the present application also provides a training device, an electronic device, and a storage medium. The host computer obtains the current tension value of the weight-reducing device on the patient through the tension sensor, determines the weight-reducing value by comparing the balance limit value with the current tension value, and reduces weight in real time and in a targeted manner through the weight-reducing device, so that the current tension value meets the balance limit value, thereby ensuring that the patient always maintains body balance during training to avoid falling.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular to a fall prevention method, system, electronic device and storage medium based on cardiopulmonary function training. Background Art

[0002] Patients with impaired cardiopulmonary function often need to undergo cardiopulmonary rehabilitation training through power bikes. Doctors train the patient's lung function based on the results of exercise lung function tests and provide corresponding rehabilitation guidance plans.

[0003] During the evaluation process, the user performs exercises with increasing loads on the power bike. The only way to determine whether the user is riding safely is by a doctor observing the user's condition. The system cannot automatically reduce weight to achieve balance on the power bike based on the user's real-time condition, and there may be a risk of falling and getting injured. Summary of the Invention

[0004] In view of this, the purpose of the embodiments of the present application is to provide a cardiopulmonary function training anti-fall method, training system, electronic device and storage medium to solve the technical problem that the existing training methods cannot automatically adjust weight loss according to the patient's real-time status, which easily causes patients to fall during training.

[0005] In a first aspect, an embodiment of the present application provides a fall prevention method based on cardiopulmonary function training, wherein the method includes a host computer used in a cardiopulmonary function training system; the training system also includes a power bike, a tension sensor, a weight-reducing device, and a weight-reducing sling; the tension sensor is communicatively connected to the host computer and mounted on the weight-reducing device, the weight-reducing device is connected to the weight-reducing sling, and the patient wearing the weight-reducing sling during training; the method includes:

[0006] The current pulling force value of the unweighting device on the patient training on the power bike is detected by a pulling force sensor;

[0007] determining whether the current tension value satisfies a balance limit condition, and determining a weight reduction value to be set for the patient based on the current tension value that satisfies the balance limit condition;

[0008] The weight reduction device is controlled to adjust the current tension value according to the weight to be reduced value.

[0009] In the above-mentioned fall prevention method based on cardiopulmonary function training, the step of determining the weight reduction value for the patient based on the current tension value that satisfies the balance limit condition includes:

[0010] A balance limit tension value and a target weight loss value associated with the balance limit tension value are pre-configured according to the patient's respiratory state and movement state;

[0011] A weight reduction value to be reduced for the patient is determined according to the current tension value that meets the balance limit condition and the target weight reduction value associated with the tension value that meets the balance limit condition.

[0012] In the above-mentioned fall prevention method based on cardiopulmonary function training, the training system further includes a breathing mask for being worn on the patient's face, the breathing mask being provided with a breathing detector; the method further includes:

[0013] detecting ventilation parameters of the patient during training by the respiratory detector, wherein the ventilation parameters include at least respiratory rate and carbon dioxide content in exhaled gas;

[0014] Determine whether the detected ventilation parameters meet the training conditions. If not, control the power vehicle to stop running to stop the patient's training based on the power vehicle; wherein, the ventilation parameters not meeting the training conditions at least include: the respiratory rate exceeds the preset respiratory rate or the carbon dioxide content in the exhaled gas exceeds the preset content value.

[0015] In the above-mentioned fall prevention method based on cardiopulmonary function training, the training system further includes an angle gyroscope, and the angle of the patient's leg movement during training is detected by the angle gyroscope; the method further includes:

[0016] obtaining the leg motion angles of the patient in multiple motion cycles from the angle gyroscope;

[0017] It is determined whether the patient's leg movement meets abnormal conditions based on the leg movement angles in multiple movement cycles. If abnormal conditions are met, the power vehicle is controlled to stop running.

[0018] In the above-mentioned fall prevention method based on cardiopulmonary function training, the abnormal leg movement conditions of the patient include at least: the legs are still for a long time, or the angle of the legs exceeds the preset angle range in any adjacent cycle or two consecutive cycles.

[0019] The above-mentioned fall prevention method based on cardiopulmonary function training, wherein the method further comprises:

[0020] According to the patient's training plan, the power vehicle is controlled to operate in a manner of increasing power load, and when it is determined that the current tension value meets the balance limit condition, the specified power is determined according to the current tension value, and the power vehicle is controlled to operate according to the specified power.

[0021] In a second aspect, an embodiment of the present application provides a training system based on cardiopulmonary function training, which includes: a host computer, a power bike, a tension sensor, a weight reduction device, a weight reduction harness, an angle gyroscope, a breathing mask, and a breathing detector; the tension sensor, the angle gyroscope, and the breathing detector are respectively connected to the host computer for communication;

[0022] The host computer is used to detect the current tension value of the weight reduction device on the patient training on the power bike through the tension sensor; determine whether the current tension value meets the balance limit condition, and determine the weight reduction value to be reduced for the patient based on the current tension value that meets the balance limit condition; and control the weight reduction device to adjust the current tension value according to the weight reduction value to be reduced.

[0023] In the above-mentioned training system, the step of determining the weight to be reduced for the patient based on the current tension value that satisfies the balance limit condition comprises:

[0024] A balance limit tension value and a target weight loss value associated with the balance limit tension value are pre-configured according to the patient's respiratory state and movement state;

[0025] A weight reduction value to be reduced for the patient is determined according to the current tension value that meets the balance limit condition and the target weight reduction value associated with the tension value that meets the balance limit condition.

[0026] The above-mentioned training system is characterized in that, the host computer is also used to: detect the patient's ventilation parameters during training through a respiratory detector, and the ventilation parameters include at least the respiratory rate and the carbon dioxide content in the exhaled gas; determine whether the detected ventilation parameters meet the training conditions, and if not, control the power vehicle to stop running to stop the patient's training based on the power vehicle; wherein, the ventilation parameters not meeting the training conditions at least include: the respiratory rate exceeds the preset respiratory rate or the carbon dioxide content in the exhaled gas exceeds the preset content value.

[0027] The above-mentioned training system, wherein the host computer is also used to: obtain the leg movement angles of the patient in multiple movement cycles from the angle gyroscope; determine whether the patient's leg movement meets abnormal conditions based on the leg movement angles in multiple movement cycles, and if abnormal, control the power vehicle to stop running; wherein the abnormal leg movement conditions of the patient include at least: the legs are still for a long time, or the leg angles in any adjacent cycles or two consecutive cycles exceed the preset angle range.

[0028] The above-mentioned training system is characterized in that the host computer is also used to: control the power vehicle to operate in a manner of increasing power load according to the patient's training plan, and when it is judged that the current tension value meets the balance limit condition, determine the specified power according to the current tension value, and control the power vehicle to operate according to the specified power.

[0029] In a third aspect, an embodiment of the present application provides an electronic device, which includes at least one processor, a memory and at least one application, wherein the at least one application is stored in the memory and is configured to be executed by at least one processor, and the at least one application is configured to execute the above-mentioned cardiopulmonary function training anti-fall method.

[0030] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which includes: storing an application program that can be loaded by a processor and execute the above-mentioned cardiopulmonary function training anti-fall method.

[0031] Beneficial effects

[0032] The upper computer obtains the current tension value of the weight reduction device on the patient through the tension sensor, determines the weight reduction value by comparing the balance limit value with the current tension value, and uses the weight reduction device to reduce weight in real time and in a targeted manner so that the current tension value meets the balance limit value, thereby ensuring that the patient always maintains body balance during training and avoids falls.

[0033] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 A flow chart of the anti-fall method provided in an embodiment of the present application is shown;

[0036] Figure 2 A flow chart showing the amount of weight to be reduced in the anti-fall method provided in an embodiment of the present application is shown;

[0037] Figure 3 A flow chart showing the detection of ventilation parameters in the anti-fall method provided in an embodiment of the present application is shown;

[0038] Figure 4 A flow chart of detecting the patient's leg movement angle in the fall prevention method provided in an embodiment of the present application is shown;

[0039] Figure 5 A logic diagram of the anti-fall method provided in an embodiment of the present application is shown;

[0040] Figure 6A schematic diagram of a weight loss device of a training system provided in an embodiment of the present application is shown;

[0041] Figure 7 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown.

[0042] Reference numerals

[0043] 1. Servo motor; 2. Connecting rope; 3. Fixed pulley; 41. Processor; 42. Memory; 43. Application program; 44. Communication bus. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of this application.

[0045] In order to prevent patients from falling during training, a weight-reducing device is required to maintain the patient's body balance. This application pre-sets a balance limit tension condition in the host computer according to the patient's recovery status. The host computer obtains the current tension value of the weight-reducing device on the patient at each moment through the tension sensor, determines the weight-reducing value by comparing the balance limit value with the current tension value, and uses the weight-reducing device to reduce weight in real time and in a targeted manner so that the current tension value meets the balance condition, thereby ensuring that the patient maintains body balance during training at all times and avoids falling.

[0046] The present invention discloses a fall prevention method based on cardiopulmonary function training, which is applied to a host computer in a cardiopulmonary function training system. The cardiopulmonary function training system also includes a power bike, a tension sensor, a weight-reducing device, and a weight-reducing harness. The tension sensor is communicatively connected to the host computer and is also mounted on the weight-reducing device. The tension sensor can obtain in real time the tension applied by the weight-reducing device to the patient during training; this tension value is the weight-reducing value applied by the weight-reducing device to the patient.

[0047] The weight-reducing device is connected to the weight-reducing sling. The patient in training wears the weight-reducing sling, thereby reducing weight through the weight-reducing device. On the one hand, it assists the patient in rehabilitation training, and on the other hand, it prevents the patient from falling during training.

[0048] The tension value required to maintain the patient's body balance during training is the balance limit tension value. The upper computer obtains and analyzes the tension value of the weight loss device on the patient, and can adjust the current tension value in real time based on the patient's balance limit tension value, so that the current tension value of the weight loss device on the patient approaches the balance limit tension value, allowing the patient to maintain body balance during training.

[0049] Based on the above training system, the embodiment of the present application also provides a fall prevention method based on cardiopulmonary function training, such as Figure 1 As shown in FIG, the method is applied to a host computer in a cardiopulmonary function training system. The training system also includes a power bike, a tension sensor, a weight reduction device, and a weight reduction sling.

[0050] The tension sensor is connected to the host computer and is installed on the weight-reducing device, which is connected to the weight-reducing sling. The patient in training wears the weight-reducing sling. The method includes the following steps:

[0051] S101, detecting, by a tension sensor, a current tension value of a weight reduction device on a patient training on a power bike;

[0052] S102, determining whether the current tension value satisfies a balance limit condition, and determining a weight reduction value to be reduced for the patient based on the current tension value that satisfies the balance limit condition;

[0053] S103: Control the weight reduction device to adjust the current tension value according to the weight to be reduced value.

[0054] The following is an explanation based on the above exemplary steps:

[0055] S101, detecting, by a tension sensor, a current tension value of a weight reduction device on a patient training on a power bike;

[0056] The current tension value of the weight loss device for the patient in training is the weight loss value. The tension sensor obtains the current tension value and transmits it to the host computer. The host computer receives the current tension value and compares it with the patient's balance limit tension value. The difference between the balance limit tension value and the current tension value is the weight loss value.

[0057] S102, determining whether the current tension value satisfies a balance limit condition, and determining a weight reduction value to be reduced for the patient based on the current tension value that satisfies the balance limit condition;

[0058] The tension required to maintain the patient's balance during training is the balance limit tension. The current tension that meets the balance limit tension is the balance limit condition. The host computer analyzes the current tension value and compares it with the balance limit tension value. The difference between the balance limit tension value and the current tension value (usually a positive value) is the weight reduction value.

[0059] S103: Control the weight reduction device to adjust the current tension value according to the weight to be reduced value.

[0060] The host computer analyzes and compares the current tension value to obtain the weight reduction value, and controls the weight reduction device to increase the tension value equal to the weight reduction value, so that the current tension value meets the balance limit condition, thereby allowing the patient to maintain balance during training.

[0061] The following combination Figure 5 The cardiopulmonary function training fall prevention method in the above embodiment is described. Before training, the patient wears a weight-reducing sling and connects the weight-reducing sling to the weight-reducing device.

[0062] During the training process, the tension sensor obtains the current tension value in real time. After receiving the current tension value, the host computer determines whether the current tension value is sufficient to meet the balance limit tension value.

[0063] If the current tension value does not meet the balance limit value, it is determined that the patient's body is in an unbalanced state and may fall. At this time, the weight reduction value needs to be increased through the weight reduction device to make the current tension value meet the balance limit value.

[0064] If the current tension value meets the balance limit value, it is determined that the patient's body is in a balanced state and normal training can be carried out.

[0065] For example, if the patient's balance limit is a tension of 30 catties, and the tension sensor detects that the current tension is 10 catties, the host computer needs to control the weight reduction device to reduce the patient's weight by 20 catties.

[0066] For example, the patient's balance limit is a tension of 30 kilograms, and the tension sensor detects that the current tension value is 20 kilograms. In this case, the host computer needs to control the weight reduction device to reduce the patient's weight by 10 kilograms.

[0067] The patient's balance limit tension value or balance limit condition is related to the patient's physical condition. The patient's weight, age, height, etc. will affect the balance limit tension value and balance limit condition. As described above, the balance limit tension value can be a fixed value, that is, the balance limit condition is fixed.

[0068] You can also set different levels of balance limit conditions based on the physical condition of the same patient at different recovery stages. The lower the level, the smaller the corresponding tension value. For example, if the first level balance limit condition is 10 catties, the target weight loss value corresponding to one alarm from the host computer is 10 catties.

[0069] The balance limit condition for the second level is 50 kilograms, and the target weight loss value corresponding to the host computer alarming twice is 30 kilograms.

[0070] Different levels of balance limit tension values ​​can be set in advance according to different ages, weights, heights, etc., and different levels of balance limit tension values ​​can be set according to the rehabilitation status of the same patient at different stages, so as to achieve the effect of targeted training and improve the effect of rehabilitation training.

[0071] Specifically, if Figure 2 As shown, the above steps determine the weight to be reduced for the patient according to the current tension value that meets the balance limit condition, specifically including:

[0072] Step 11: pre-configuring a balance limit tension value and a target weight loss value associated with the balance limit tension value according to the patient's respiratory state and movement state;

[0073] Before training, the system analyzes the patient's respiratory rate, exhaled carbon dioxide content, and leg movement angle to determine the appropriate balance limit tension value. For example, if a patient's respiratory rate is significantly higher than normal, indicating poor cardiopulmonary function, the balance limit tension value should be set to a lower value, and the corresponding weight reduction value should be set to a higher value. This reduces the patient's weight during training, lowering the intensity of the training and allowing the patient to maintain balance and avoid falls.

[0074] The balance limit tension value is pre-set with multiple levels according to the patient's condition. The balance limit tension value of each level is pre-set with a corresponding target weight loss value. The upper computer pre-stores a tension value table ranging from 0 to the patient's weight. After the tension sensor obtains the current tension value, the upper computer compares the current tension value with the tension value table stored in advance, and finally obtains the corresponding weight loss value.

[0075] Step 12: Determine a weight loss value for the patient based on the current tension value that satisfies the balance limit condition and the target weight loss value associated with the tension value that satisfies the balance limit condition; wherein the respiratory state includes the respiratory rate and the carbon dioxide content in the exhaled gas, and the movement state includes the leg movement angle.

[0076] Furthermore, according to the patient's training plan, the power vehicle is controlled to operate in a manner of increasing power load, and when it is determined that the current tension value meets the balance limit condition, the specified power is determined according to the current tension value, and the power vehicle is controlled to operate according to the specified power.

[0077] During the training process, the patient's current cardiopulmonary state is judged by the patient's breathing state and movement state. When the patient's breathing state and movement state are within the normal range, the patient can maintain body balance better. The upper computer can be used to control the power bike to gradually increase the power to increase the training intensity.

[0078] When the patient reaches or is about to reach the balance limit, it means that the patient cannot maintain the body balance well. At this time, the power of the power car should be maintained or reduced, and the current power of the power car should be kept unchanged or reduced to prevent the patient from losing balance and falling.

[0079] like Figure 3 As shown, during the patient's training, it is necessary not only to prevent the patient from falling during the training, but also to ensure the patient's safety during the training. In this embodiment, by detecting the ventilation parameters and leg movement angles, if the ventilation parameters and leg movement angles are beyond the normal range, the training needs to be stopped immediately to avoid damage to the patient's heart and lungs.

[0080] First, fall prevention methods based on cardiopulmonary function training also include:

[0081] S201, detecting ventilation parameters of the patient during training using a respiratory detector, where the ventilation parameters include at least respiratory rate and carbon dioxide content in exhaled gas;

[0082] S202. Determine whether the detected ventilation parameters meet the training conditions. If not, control the power vehicle to stop running to stop the patient's training based on the power vehicle. The ventilation parameters not meeting the training conditions at least include: the respiratory rate exceeds a preset respiratory rate or the carbon dioxide content in the exhaled gas exceeds a preset content value.

[0083] The breathing detection is set on the breathing mask. When it is detected that the breathing rate exceeds the preset breathing rate or the carbon dioxide content in the exhaled gas exceeds the preset content value, it means that the patient's cardiopulmonary burden is too heavy. In order to avoid damage to the patient's heart and lungs, the training should be stopped immediately and oxygen should be supplied to the patient through the breathing mask.

[0084] Second, if Figure 4 As shown, fall prevention methods based on cardiopulmonary training also include:

[0085] S301, obtaining the leg motion angles of the patient in multiple motion cycles from the angle gyroscope;

[0086] S302: Determine whether the patient's leg movement meets an abnormal condition based on the leg movement angles in multiple movement cycles; if so, control the power vehicle to stop running.

[0087] The angle gyroscope is installed on the patient's legs. After each lap of the power bike, the angle gyroscope obtains the spatial position of the patient's legs. By judging the changes in the spatial position of the patient's legs, the patient's current exercise status is obtained. When the spatial position of the patient's legs changes too much or does not change, it means that the patient is abnormal. At this time, training needs to be stopped immediately to avoid damage to the patient's heart and lungs.

[0088] Furthermore, in a fall prevention method based on cardiopulmonary function training, the patient's abnormal leg movement conditions include at least: the legs are still for a long time, or the angle of the legs in any adjacent cycle or two consecutive cycles exceeds a preset angle range.

[0089] Based on the same inventive concept, the embodiments of the present application also provide a training system corresponding to the anti-fall method based on cardiopulmonary function training. Since the principle of solving the problem by the system in the embodiments of the present application is similar to the above-mentioned anti-fall method based on cardiopulmonary function training in the embodiments of the present application, the implementation of the training system can refer to the implementation of the method, and the repeated parts will not be repeated.

[0090] A cardiopulmonary function training system includes a host computer, a power bike, a tension sensor, a weight reduction device, a weight reduction belt, an angle gyroscope, a breathing mask, and a breathing detector; the tension sensor, the angle gyroscope, and the breathing detector are respectively connected to the host computer via a communication bus 44;

[0091] The host computer is used to detect the current tension value of the weight reduction device on the patient training on the power bike through the tension sensor; determine whether the current tension value meets the balance limit condition, and determine the weight reduction value to be reduced for the patient based on the current tension value that meets the balance limit condition; and control the weight reduction device to adjust the current tension value according to the weight reduction value to be reduced.

[0092] The tension sensor, angle gyroscope and respiration detector are respectively connected to the host computer for communication, and then transmit the collected signals (current tension value, leg movement angle, respiratory rate and carbon dioxide content in exhaled gas) to the host computer.

[0093] Further, if Figure 6 As shown, the weight-reduction device may include a servo motor 1, a connecting rope 2, and a fixed pulley 3. The fixed pulley 3 is mounted on a truss above the power cart, and the tension sensor is mounted on the servo motor 1. The servo motor 1 is connected to the weight-reduction sling via the connecting rope 2, which is wound around the fixed pulley 3. By controlling the forward and reverse rotation and rotation speed of the servo motor 1, the patient's weight is reduced by pulling the connecting rope 2.

[0094] The upper computer processes the collected signals and selects the balanced tension conditions suitable for the patient's current cardiopulmonary condition based on the leg movement angle, breathing rate and carbon dioxide content in the exhaled gas. It then determines the required weight reduction value based on the current tension value, and finally controls the weight reduction device to reduce the weight reduction value, thereby maintaining the patient's body balance throughout the training process and avoiding falls.

[0095] In conjunction with the training system in the above embodiment, determining the weight reduction value for the patient based on the current tension value that satisfies the balance limit condition includes:

[0096] A balance limit tension value and a target weight loss value associated with the balance limit tension value are pre-configured according to the patient's respiratory state and movement state;

[0097] A weight reduction value to be reduced for the patient is determined according to the current tension value that meets the balance limit condition and the target weight reduction value associated with the tension value that meets the balance limit condition.

[0098] In combination with the training system in the above embodiment, the host computer is also used to: detect the patient's ventilation parameters during training through a respiratory detector, and the ventilation parameters include at least the respiratory rate and the carbon dioxide content in the exhaled gas; determine whether the detected ventilation parameters meet the training conditions, and if not, control the power vehicle to stop running to stop the patient's training based on the power vehicle; wherein, the ventilation parameters not meeting the training conditions at least include: the respiratory rate exceeds the preset respiratory rate or the carbon dioxide content in the exhaled gas exceeds the preset content value.

[0099] In combination with the training system in the above embodiment, the host computer is also used to: obtain the leg movement angle of the patient in multiple movement cycles from the angle gyroscope; judge whether the patient's leg movement meets abnormal conditions based on the leg movement angles in multiple movement cycles, and if abnormal conditions are met, control the power vehicle to stop running; wherein, the abnormal leg movement conditions of the patient include at least: the legs are still for a long time, or the leg angles in any adjacent cycles or two consecutive cycles exceed the preset angle range.

[0100] In combination with the training system in the above embodiment, the host computer is also used to: control the power vehicle to operate in an increasing power load manner according to the patient's training plan, and when it is judged that the current tension value meets the balance limit condition, determine the specified power according to the current tension value, and control the power vehicle to operate according to the specified power.

[0101] like Figure 7 As shown, an electronic device provided by an embodiment of the present application includes at least one processor 41, a memory 42 and at least one application 43, wherein the at least one application 43 is stored in the memory 42 and is configured to be executed by the at least one processor 41, and the at least one application 43 is configured to execute the cardiopulmonary function training anti-fall method of the above embodiment.

[0102] The above-mentioned memory 42 and processor 41 can be general-purpose memories and processors, which are not specifically limited here. When the processor 41 runs the application 43 stored in the memory 42, the above-mentioned cardiopulmonary function training method for preventing falls can be executed.

[0103] Corresponding to the above-mentioned anti-fall method based on cardiopulmonary function training, an embodiment of the present application also provides a computer-readable storage medium, including: storing an application 43 that can be loaded by a processor 41 and execute the cardiopulmonary function training anti-fall method in the above-mentioned embodiment.

[0104] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

Claims

1. A fall prevention method based on cardiopulmonary function training, characterized in that: A host computer used in a cardiopulmonary function training system; the training system also includes a power bike, a tension sensor, a weight-reducing device and a weight-reducing sling; the tension sensor is communicatively connected to the host computer and installed on the weight-reducing device, the weight-reducing device is connected to the weight-reducing sling, and the patient in training wears the weight-reducing sling; the method includes: The current pulling force value of the unweighting device on the patient training on the power bike is detected by a pulling force sensor; Determine whether the current tension value meets the balance limit condition, and pre-configure a balance limit tension value and a target weight loss value associated with the balance limit tension value according to the patient's respiratory state and movement state; Determining a weight reduction value to be reduced for the patient according to a current tension value that satisfies a balance limit condition and a target weight reduction value associated with the tension value that satisfies a balance limit condition; The weight reduction device is controlled to adjust the current tension value according to the weight to be reduced value.

2. The fall prevention method based on cardiopulmonary function training according to claim 1, characterized in that: The training system further comprises a breathing mask for being worn on the face of the patient, wherein a breathing detector is arranged on the breathing mask; and the method further comprises: Detecting the patient's ventilation parameters during the training process by means of the breathing detector, wherein the ventilation parameters at least include the respiratory rate and the content of carbon dioxide in the exhaled gas; Determine whether the detected ventilation parameters meet the training conditions. If not, control the power vehicle to stop running so as to stop the patient's training based on the power vehicle. The ventilation parameters not meeting the training conditions at least include: the breathing rate exceeds the preset breathing rate or the carbon dioxide content in the exhaled gas exceeds the preset content value.

3. The fall prevention method based on cardiopulmonary function training according to claim 2, characterized in that: The training system further includes an angle gyroscope, and the angle gyroscope is used to detect the leg movement angle of the patient during the training process; the method further includes: Acquiring the leg motion angles of the patient in multiple motion cycles from the angle gyroscope; It is determined whether the patient's leg movement meets abnormal conditions according to the leg movement angles in multiple movement cycles. If abnormal conditions are met, the power vehicle is controlled to stop running.

4. The fall prevention method based on cardiopulmonary function training according to claim 3, characterized in that: The abnormal leg movement conditions of the patient include at least: the legs are stationary for a long time, or the angle of the legs in any adjacent cycles or two consecutive cycles exceeds a preset angle range.

5. The fall prevention method based on cardiopulmonary function training according to claim 1, characterized in that: The method further comprises: According to the patient's training plan, the power vehicle is controlled to operate in a manner of increasing power load, and when it is determined that the current tension value meets the balance limit condition, the specified power is determined according to the current tension value, and the power vehicle is controlled to operate at the specified power.

6. A training system based on cardiopulmonary function training, characterized in that: include: A host computer, a power car, a tension sensor, a weight reduction device, a weight reduction sling, an angle gyroscope, a breathing mask and a breathing detector; the tension sensor, the angle gyroscope and the breathing detector are respectively connected to the host computer for communication; The host computer is used to detect the current tension value of the weight loss device on the patient training on the power bike through the tension sensor; judge whether the current tension value meets the balance limit condition, and pre-configure the balance limit tension value and the target weight loss value associated with the balance limit tension value according to the patient's breathing state and movement state; According to the current tension value that meets the balance limit condition and the target weight loss value associated with the tension value that meets the balance limit condition, determine the weight loss value to be reduced for the patient; control the weight loss device to adjust the current tension value according to the weight loss value to be reduced.

7. An electronic device, characterized in that: The invention comprises at least one processor, a memory and at least one application, wherein the at least one application is stored in the memory and is configured to be executed by the at least one processor, and the at least one application is configured to execute the cardiopulmonary function training fall prevention method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: include: An application program is stored which can be loaded by a processor and execute the cardiopulmonary function training fall prevention method as claimed in any one of claims 1 to 5.

Images