CN115721269A - Severe rehabilitation assessment training system based on six-minute walking test - Google Patents

Severe rehabilitation assessment training system based on six-minute walking test Download PDF

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CN115721269A
CN115721269A CN202211390803.3A CN202211390803A CN115721269A CN 115721269 A CN115721269 A CN 115721269A CN 202211390803 A CN202211390803 A CN 202211390803A CN 115721269 A CN115721269 A CN 115721269A
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training
patient
walking
assessment
muscle strength
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刘瑶
聂孟珍
唐琦
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West China Hospital of Sichuan University
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West China Hospital of Sichuan University
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Abstract

The invention discloses a severe rehabilitation assessment training system based on a six-minute walking test, which relates to the technical field of training and rehabilitation and has the technical scheme that: the method comprises the steps of detection before training, walking training and generation of a training report; pre-training tests include cognitive assessment, muscle strength assessment, and balance testing; generating a training report includes the computer system; assessing cognition of the patients with the severe symptoms through cognitive assessment, assessing muscle strength of the patients with the severe symptoms through muscle strength assessment, and testing the walking ability of the patients with the severe symptoms through balance test; the critical patients can be ensured to finish walking training through detection before training, and a subsequent rehabilitation training scheme is provided for the patients through generating a training report after the walking training is finished. The cognition, muscle strength and walking and balance ability of the patient are evaluated through detection before training, the patient is guaranteed to finish walking training and is monitored in the training, a training report is automatically generated through a computer system, and a follow-up training scheme suggestion is given.

Description

Severe rehabilitation assessment training system based on six-minute walking test
Technical Field
The invention relates to the technical field of training and rehabilitation, in particular to a severe rehabilitation assessment training system based on a six-minute walking test.
Background
The six-minute walk test (6 MWT) is one of the important monitoring means in respiratory rehabilitation training. The 6MWT is most commonly used for evaluating the curative effect of patients with moderate and severe cardiopulmonary diseases before and after treatment and self-detecting the patients in daily functional exercise, and also used for evaluating the cardiopulmonary state and carrying out epidemiological investigation, and the 6-minute walking distance can also be used as an objective index of the morbidity and the mortality of cardiopulmonary diseases.
For severe patients, a six-minute walk test is performed after a series of tests and evaluations are performed on the patients, and a report is generated after the six-minute walk test is completed. At present, a six-minute walking test is required for patients in an intensive care unit, and the system method for the intensive rehabilitation assessment training of the six-minute walking test is lacked, so that the six-minute walking test and the subsequent rehabilitation training for the patients are inconvenient for the patients.
Disclosure of Invention
The invention aims to provide a severe case rehabilitation assessment training system based on a six-minute walking test, which enables a severe case patient to complete self detection of the six-minute walking test through the severe case rehabilitation assessment training system and gives a follow-up rehabilitation training suggestion through generation of a training report.
The technical purpose of the invention is realized by the following technical scheme: a severe rehabilitation assessment training system based on a six-minute walking test comprises detection before training, walking training and generation of a training report; the pre-training tests include cognitive assessment, muscle strength assessment, and balance testing; the generating of the training report comprises a computer system; assessing cognition in the critically ill patient by the cognitive assessment, assessing muscle strength in the critically ill patient by the muscle strength assessment, testing the ability of the critically ill patient to walk by the balance test; the pre-training detection ensures that the severe patients can finish walking training, and a subsequent rehabilitation training scheme is provided for the patients by generating a training report after the walking training is finished.
By adopting the technical scheme, the critical rehabilitation assessment training system based on the six-minute walking test needs to perform pre-training detection before performing the walking training of the six-minute walking test, assesses the cognition, muscle strength and walking and balancing abilities of a patient through three assessment tests of cognition assessment, muscle strength assessment and balancing test, ensures that the patient can complete subsequent walking training, monitors the patient in the walking training, automatically generates a training report by comparing data obtained by monitoring with a normal range value through a computer system, and provides a suggestion of a training scheme for the subsequent rehabilitation of the patient.
The invention is further configured to: the assessment method of cognitive assessment comprises the following steps: a1: acquiring data information, namely acquiring data information of an activity scene through acquisition equipment, and characterizing the data information to generate an information characteristic mark; a2: generating and storing memory information, establishing a corresponding relation between the information characteristic mark and the extracted data information, generating storage information, and storing the storage information in a database; a3: inputting memory data information to be searched by a patient, and detecting brain wave signals of the patient in a passive receiving and setting evaluation process according to the memory data information so as to evaluate the cognitive function of the patient; a4: and according to the evaluation process, evaluating the interactive action performed by the patient when the signal instruction is received so as to obtain the cognitive state information of the patient.
By adopting the technical scheme, cognitive evaluation is carried out, data information is acquired for the activity scene by utilizing the acquisition equipment, the acquired data information is characterized to generate the information characteristic marks, and the corresponding relation is established between the information characteristic marks and the extracted data information and is stored in the database. The method comprises the steps of inputting memory data information to be searched by a patient, and detecting brain wave signals of the patient in a passive receiving and setting evaluation process according to the memory data information so as to evaluate the cognitive function of the patient. And according to the evaluation process, evaluating the interactive action performed by the patient when the signal instruction is received so as to obtain the cognitive state information of the patient.
The invention is further configured to: and performing muscle strength evaluation after the cognition evaluation is qualified, wherein the muscle strength evaluation adopts a muscle strength evaluation device to detect and evaluate the muscle strength of the limbs of the critically ill patient, so that the limbs of the critically ill patient can support the body of the patient to complete the walking training.
Through adopting above-mentioned technical scheme, carry out patient's muscle power aassessment after cognitive aassessment reaches qualifiedly, detect the muscle strength of patient's four limbs through adopting muscle power aassessment device, ensure that the muscle strength of patient's four limbs can support the patient and accomplish walking training.
The invention is further configured to: after the cognition evaluation and the muscle strength evaluation are qualified, a balance test is carried out; the balance test is used for evaluating the walking ability of the patient in the walking process of the patient, comprises the steps of training the gait of the patient and evaluating the gait of the patient and is completed by adopting a multi-source information fusion interaction mode.
By adopting the technical scheme, the balance test is carried out after the cognition evaluation and the muscle strength evaluation are qualified, the walking ability of the patient is evaluated by the balance test, the balance test comprises the steps of gait training and gait evaluation of the patient, and the balance test is completed by adopting a multi-source information fusion interaction mode.
The invention is further configured to: the walking training adopts a six-minute walking experiment, and in the six-minute walking experiment process, a PICCO monitor is adopted to monitor the cardiac output (PCCO) and index (PCCI), arterial Pressure (AP), heart Rate (HR), stroke Volume (SV) and index (SVI), stroke volume change (SVV), peripheral vascular resistance (SVR) and index (SVRI) of each heart beat of a patient in the walking process; monitoring the cardiopulmonary endurance of the patient by using a cardiopulmonary endurance tester; monitoring the fatigue index of the patient in the exercise process by adopting a human body fatigue value acquisition device; and uploading data acquired by the PICCO monitor, the cardiopulmonary endurance tester and the human fatigue value acquisition device to a computer system.
By adopting the technical scheme, before the six-minute walking experiment, cognitive assessment, muscle strength assessment and balance test are required, and the six-minute walking experiment can be carried out only if the results are qualified. In the six-minute walking experiment process, a PICCO monitor, a cardiopulmonary endurance tester and a human fatigue value acquisition device are adopted to monitor the cardiac output (PCCO) and index (PCCI), arterial Pressure (AP), heart Rate (HR), stroke Volume (SV) and index (SVI), stroke volume change (SVV), peripheral vascular resistance (SVR) and index (SVRI) of a patient in real time for each heart beat, monitor the cardiopulmonary endurance and the fatigue index, transmit monitoring data to a computer system, and compare the monitoring data with a normal value in a range stored by the computer system to generate a report.
The invention is further configured to: the computer system stores a normal range value of single monitoring data of the PICCO monitor, the cardiopulmonary endurance tester and the human fatigue value acquisition device, compares the single monitoring data of the patient acquired by the PICCO monitor, the cardiopulmonary endurance tester and the human fatigue value acquisition device with the normal range value of the single monitoring data stored by the computer system to automatically generate a training report, and generates a proposal for subsequent rehabilitation training of the patient in the training report.
By adopting the technical scheme, the PICCO monitor, the cardiopulmonary endurance tester and the human fatigue value acquisition device transmit the monitoring data to the computer system, the computer system compares the real-time monitoring data with the normal range value of the stored monitoring data to automatically generate a training report, and the training report is generated to provide a subsequent patient rehabilitation training proposal.
In conclusion, the invention has the following beneficial effects: according to the severe rehabilitation assessment training system based on the six-minute walking test, the cognition, the muscle strength, the walking and the balance ability of a patient are assessed through three assessment tests of cognition assessment, muscle strength assessment and balance test, the patient can be guaranteed to complete subsequent walking training, the patient is monitored in the walking training, data obtained through monitoring are compared with a normal range value through a computer system to automatically generate a training report, and a suggestion of a training scheme of the rehabilitation of the subsequent patient is given. The critical patient can complete six-minute walking test for self detection through the critical rehabilitation assessment training system, and a subsequent rehabilitation training suggestion is given through generating a training report.
Drawings
Fig. 1 is a schematic structural flow chart of the critical rehabilitation assessment training system according to the embodiment of the present invention.
Detailed Description
The present invention is described in further detail below with reference to fig. 1.
Example (b): a critical rehabilitation assessment training system based on six-minute walk test is shown in figure 1, and comprises pre-training detection, walk training and training report generation; pre-training tests include cognitive assessment, muscle strength assessment, and balance testing; generating a training report includes the computer system; assessing cognition of the severe patient through cognitive assessment, assessing muscle strength of the severe patient through muscle strength assessment, and testing the walking ability of the severe patient through balance test; the critical patients can be ensured to finish walking training through detection before training, and a subsequent rehabilitation training scheme is provided for the patients through generating a training report after the walking training is finished.
According to the embodiment, the critical rehabilitation assessment training system based on the six-minute walking test needs to perform pre-training detection before performing walking training of the six-minute walking test, assesses cognition, muscle strength, walking and balance capacity of a patient through three assessment tests of cognition assessment, muscle strength assessment and balance test, ensures that the patient can complete subsequent walking training, monitors the patient in the walking training, compares data obtained through monitoring with a normal range value through a computer system, automatically generates a training report, and provides a suggestion of a training scheme for rehabilitation of the subsequent patient.
A method for assessment of cognitive assessment comprising the steps of: a1: data information acquisition, namely acquiring data information in an activity scene through acquisition equipment, and characterizing the data information to generate an information characteristic mark; a2: memory information generation and storage, namely establishing a corresponding relation between the information characteristic mark and the extracted data information, generating storage information and storing the storage information in a database; a3: inputting memory data information to be searched by a patient, and detecting brain wave signals of the patient in a passive receiving and setting evaluation process according to the memory data information so as to evaluate the cognitive function of the patient; a4: and according to the evaluation process, evaluating the interactive action performed by the patient when the signal instruction is received so as to obtain the state information perceived by the patient.
According to the embodiment, cognitive evaluation is carried out, data information is collected on the activity scene by using the collection equipment, the collected data information is characterized to generate the information characteristic marks, and the corresponding relation is established between the information characteristic marks and the extracted data information and is stored in the database. And inputting memory data information to be searched by the patient, and detecting brain wave signals of the patient in the passive receiving set evaluation process according to the memory data information so as to evaluate the cognitive function of the patient. And according to the evaluation process, evaluating the interactive action performed by the patient when the signal instruction is received so as to obtain the cognitive state information of the patient.
And performing muscle strength evaluation after the cognitive evaluation is qualified, and detecting and evaluating the muscle strength of the limbs of the severe patients by adopting a muscle strength evaluation device to ensure that the limbs of the severe patients can support the body of the patients to complete the walking training.
Through this embodiment, carry out patient's muscle strength aassessment after cognitive aassessment reaches qualifiedly, through adopting muscle strength aassessment device to detect the muscle strength of patient's four limbs, ensure that the muscle strength of patient's four limbs can support the patient and accomplish walking training.
Carrying out balance test after passing through cognitive assessment and muscle strength assessment; the balance test is used for evaluating the walking ability of the patient in the walking process of the patient, comprises the steps of training the gait of the patient and evaluating the gait of the patient and is completed by adopting a multi-source information fusion interaction mode.
Through the embodiment, the balance test is carried out after the cognition assessment and the muscle strength assessment are qualified, the walking ability of the patient is assessed through the balance test, the balance test is completed in a multi-source information fusion interaction mode including patient gait training and patient gait assessment.
The walking training adopts a six-minute walking experiment, and in the six-minute walking experiment process, a PICCO monitor is adopted to monitor the cardiac output (PCCO) and index (PCCI), arterial Pressure (AP), heart Rate (HR), stroke Volume (SV) and index (SVI), stroke volume change (SVV), peripheral vascular resistance (SVR) and index (SVRI) of each heart beat of a patient in the walking process; monitoring the cardiopulmonary endurance of the patient by using a cardiopulmonary endurance tester; monitoring the fatigue index of the patient in the exercise process by adopting a human body fatigue value acquisition device; and uploading the data acquired by the PICCO monitor, the cardiopulmonary endurance tester and the human body fatigue value acquisition device to a computer system.
With this example, cognitive assessment, muscle strength assessment and balance testing were required before the six minute walk experiment was performed, and the six minute walk experiment was performed if qualified. In the six-minute walking experiment process, a PICCO monitor, a heart-lung endurance tester and a human body fatigue value acquisition device are adopted to monitor the cardiac output (PCCO) and index (PCCI), arterial Pressure (AP), heart Rate (HR), stroke Volume (SV) and index (SVI), stroke volume change (SVV), peripheral vascular resistance (SVR) and index (SVRI) of a patient in real time per heart beat, monitor the heart-lung endurance and fatigue index, transmit monitoring data to a computer system, and compare the monitoring data with a normal value in a range stored by the computer system to generate a report.
The computer system stores normal range values of single monitoring data of the PICCO monitor, the cardiopulmonary endurance tester and the human body fatigue value acquisition device, single monitoring data of a patient acquired by the PICCO monitor, the cardiopulmonary endurance tester and the human body fatigue value acquisition device are compared with the normal range values of the single monitoring data stored by the computer system to automatically generate a training report, and a proposal scheme of subsequent rehabilitation training of the patient is given in the generated training report, such as the proposal of stepping training, breathing training and the like of the patient.
According to the embodiment, the PICCO monitor, the heart-lung endurance tester and the human body fatigue value acquisition device transmit the monitoring data to the computer system, the computer system compares the real-time monitoring data with the normal range value of the stored monitoring data to automatically generate a training report, and a subsequent proposal for rehabilitation training of a patient is given in the generated training report.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.

Claims (6)

1. A severe rehabilitation assessment training system based on a six-minute walking test is characterized in that: the method comprises the steps of detection before training, walking training and generation of a training report; the pre-training tests include cognitive assessment, muscle strength assessment, and balance testing; the generating of the training report comprises a computer system; assessing cognition of the critically ill patient by the cognitive assessment, assessing muscle strength of the critically ill patient by the muscle strength assessment, testing the ability of the critically ill patient to walk by the balance test; the pre-training detection ensures that the severe patients can finish walking training, and a subsequent rehabilitation training scheme is provided for the patients by generating a training report after the walking training is finished.
2. The severe rehabilitation assessment training system based on six-minute walking test as claimed in claim 1, wherein: the assessment method of cognitive assessment comprises the following steps: a1: acquiring data information, namely acquiring data information of an activity scene through acquisition equipment, and characterizing the data information to generate an information characteristic mark; a2: generating and storing memory information, establishing a corresponding relation between the information characteristic mark and the extracted data information, generating and storing the memory information in a database; a3: inputting memory data information to be searched by a patient, and detecting brain wave signals of the patient in a passive receiving and setting evaluation process according to the memory data information so as to evaluate the cognitive function of the patient; a4: and according to the evaluation process, evaluating the interactive action performed by the patient when the signal instruction is received so as to obtain the cognitive state information of the patient.
3. The intensive care rehabilitation assessment training system based on six-minute walk test as claimed in claim 1, wherein: and performing muscle strength evaluation after the cognitive evaluation is qualified, wherein the muscle strength evaluation adopts a muscle strength evaluation device to detect and evaluate the muscle strength of the limbs of the severe patients, so that the limbs of the severe patients can support the body of the patients to complete the walking training.
4. The intensive care rehabilitation assessment training system based on six-minute walk test as claimed in claim 1, wherein: after the cognition evaluation and the muscle strength evaluation are qualified, a balance test is carried out; the balance test is used for evaluating the walking ability of the patient in the walking process of the patient, comprises the steps of training the gait of the patient and evaluating the gait of the patient and is completed by adopting a multi-source information fusion interaction mode.
5. The intensive care rehabilitation assessment training system based on six-minute walk test as claimed in claim 1, wherein: the walking training adopts a six-minute walking experiment, and in the six-minute walking experiment process, a PICCO monitor is adopted to monitor the cardiac output (PCCO) and index (PCCI), arterial Pressure (AP), heart Rate (HR), stroke Volume (SV) and index (SVI), stroke volume change (SVV), peripheral vascular resistance (SVR) and index (SVRI) of each heart beat of a patient in the walking process; monitoring the cardiopulmonary endurance of the patient by using a cardiopulmonary endurance tester; monitoring the fatigue index of the patient in the exercise process by adopting a human body fatigue value acquisition device; and uploading the data acquired by the PICCO monitor, the cardiopulmonary endurance tester and the human fatigue value acquisition device to a computer system.
6. The severe rehabilitation assessment training system based on six-minute walking test as claimed in claim 5, wherein: the computer system stores a normal range value of single monitoring data of the PICCO monitor, the cardiopulmonary endurance tester and the human fatigue value acquisition device, compares the single monitoring data of the patient acquired by the PICCO monitor, the cardiopulmonary endurance tester and the human fatigue value acquisition device with the normal range value of the single monitoring data stored by the computer system to automatically generate a training report, and generates a proposal for subsequent rehabilitation training of the patient in the training report.
CN202211390803.3A 2022-11-07 2022-11-07 Severe rehabilitation assessment training system based on six-minute walking test Pending CN115721269A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117064380A (en) * 2023-10-17 2023-11-17 四川大学华西医院 Anti-fall early warning system and method for myoelectricity detection on lower limb surface and related products

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117064380A (en) * 2023-10-17 2023-11-17 四川大学华西医院 Anti-fall early warning system and method for myoelectricity detection on lower limb surface and related products
CN117064380B (en) * 2023-10-17 2023-12-19 四川大学华西医院 Anti-fall early warning system and method for myoelectricity detection on lower limb surface and related products

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