Tele-health system of rehabilitation training guidance for patients with chronic respiratory failure

Patent metadata

Field	Value
Publication number	US-12476007-B2
Application number	US-202218039950-A
Country	US
Kind code	B2
Filing date	Nov 4, 2022
Priority date	Dec 14, 2021
Publication date	Nov 18, 2025
Grant date	Nov 18, 2025

Abstract

The present invention discloses a tele-health system of rehabilitation training guidance for patients with chronic respiratory failure, comprising a functional assessment and rehabilitation training equipment group, a patient mobile terminal, a cloud server, and a doctor mobile terminal; the functional assessment and rehabilitation training equipment group interacts with the patient mobile terminal, and the patient mobile terminal and the doctor mobile terminal communicate with the cloud server, respectively. The system of the present invention can grade the acquired respiratory muscle test evaluation results, limb muscle strength test evaluation results and sputum excretion ability test evaluation results, generate the recommended rehabilitation prescription corresponding to the grade, and numerically describe the exercise intensity; the system can achieve individualized customization of the recommended rehabilitation prescription, and achieve precise control of volume of exercise and place the patient in a beneficial range of volume of exercise.

First claim

The invention claimed is:

1 . A tele-health system of rehabilitation training guidance for patients with chronic respiratory failure, comprising a functional assessment and rehabilitation training equipment group, a patient mobile terminal, a cloud server, and a doctor mobile terminal; the functional assessment and rehabilitation training equipment group interacts with the patient mobile terminal, and the patient mobile terminal and the doctor mobile terminal communicate with the cloud server, respectively;
the functional assessment and rehabilitation training equipment group comprises a functional assessment equipment group and a rehabilitation training equipment group; the patient mobile terminal comprises a functional assessment module and a rehabilitation training module; the cloud server comprises an evaluation task management unit, a prescription recommendation service unit, a training task management unit, and a rehabilitation training supervision unit; the doctor mobile terminal comprises a prescription configuration module and a rehabilitation supervision module; in the functional assessment and rehabilitation training equipment group, the functional assessment equipment group is used to detect functional status data of patients, and the rehabilitation training equipment group is used for patients to perform home rehabilitation exercise; in the patient mobile terminal, the functional assessment module is used to collect the functional status data of patients and send them to the prescription recommendation service unit in the cloud server, while the rehabilitation training module is used to push rehabilitation prescriptions and collect home rehabilitation training data; the functional status data comprise maximal inspiratory pressure (MIP), maximal expiratory pressure (MEP), limb muscle strength grade, and peak expiratory flow (PEF); in the cloud server described: the evaluation task management unit is used to generate evaluation tasks and push them to the functional assessment module in the patient mobile terminal, reminding patients to conduct functional assessment; the prescription recommendation service unit grades each of the acquired respiratory muscle test evaluation results, limb muscle strength test evaluation results and sputum excretion ability test evaluation results, generates the recommended rehabilitation prescription corresponding to separate grades of the acquired respiratory muscle test evaluation results, limb muscle strength test evaluation results and sputum excretion ability test evaluation results, and send the recommended rehabilitation prescription to the prescription configuration module in the doctor mobile terminal for modification and confirmation by the doctor; the recommended rehabilitation prescription comprises respiratory muscle training, limb muscle strength training, and sputum excretion ability training; the training task management unit generates the rehabilitation prescription modified and confirmed from the doctor into exercise training tasks, and pushes the exercise training tasks to patients through the rehabilitation training module in the patient mobile terminal, and guides patients to undergo rehabilitation training, the patient's home rehabilitation training data are collected and transmitted to the rehabilitation training supervision unit in the cloud server by the rehabilitation training module in the patient mobile terminal; the rehabilitation training supervision unit evaluates the home rehabilitation training situation of patients and generates rehabilitation training reports and prescription adjustment reminders, the rehabilitation training reports and prescription adjustment reminders are sent to the rehabilitation supervision module in the doctor mobile terminal.

2 . The tele-health system of rehabilitation training guidance for patients with chronic respiratory failure according to claim 1 , wherein, the evaluation task management unit in the cloud server regularly generates evaluation tasks, with a time interval of preferably once every two weeks.

3 . The tele-health system of rehabilitation training guidance for patients with chronic respiratory failure according to claim 1 , wherein, the prescription recommendation service unit in the cloud server divides the obtained respiratory muscle test evaluation results of the patient into two grades: strong and weak, and generates recommended rehabilitation prescriptions corresponding to the grades;
in the recommended rehabilitation prescription corresponding to the weak grade, the respiratory muscle training methods is suggestive breathing technique and diaphragmatic breathing; in the recommended rehabilitation prescription corresponding to the strong grade, the respiratory muscle training methods comprises threshold inspiratory muscle training and manual resistance breathing training; the classification method for the weak grade and strong grade is to calculate the patient's MIPpre and MEPpre, comparing with MIPmea and MEPmea, where MIPpre is the predicted maximal inspiratory pressure, MEPpre is the predicted maximal expiratory pressure, MIPmea is the measured maximal inspiratory pressure, and MEPmea is the measured maximal expiratory pressure; the calculation method for MIPpre is:

Male
:

MIPpre

=

143
-

0.55
*
Age

Female
:

MIPpre

=

104
-

0.51
*
Age

the calculation method for MEPpre is:

Male
:

MEPpre

=

2
⁢
6
⁢
8

-

1.03
*
Age

Female
:

MEPpre

=

170
-

0.53
*
Age

(1) when MIPmea<0.3*MIPpre, generating the recommended rehabilitation prescription corresponding to the weak grade;
(2) when MIPmea>0.3*MIPpre and MEPmea>0.3*MEPpre, generating the recommended rehabilitation prescription corresponding to the strong grade;
(3) when MIPmea>0.3*MIPpre and MEPmea<0.3*MEPpre, judging that the measurement value is incorrect, and the generated recommended rehabilitation prescription is empty.

4 . The tele-health system of rehabilitation training guidance for patients with chronic respiratory failure according to claim 1 , wherein, the prescription recommendation service unit in the cloud server divides the obtained patient evaluation results of limb muscle strength into three grades: A, B and C, and generates recommended rehabilitation prescriptions co

Assignees

• Univ Zhejiang

Inventors

• Deng Ning
• Jiang Wangshu
• Feng Jingyi

Classifications

• A61B5/224

  Measuring muscular strength · CPC title

• G16H40/67 Primary

  for remote operation · CPC title

• G16H20/30 Primary

  relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising · CPC title

• A61B5/08

  Measuring devices for evaluating the respiratory organs · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title