Rehabilitation training remote monitoring system

Abstract

The invention discloses a rehabilitation training remote monitoring system. The rehabilitation training remote monitoring system comprises a myoelectricity detecting module, a blood oxygen detecting module, a muscular tension detecting module, a breath detecting module, a microprocessor module and a wireless transmitting module which are arranged at a data collecting terminal, a wireless receiving module which is arranged at a data receiving terminal, a local terminal computer and a remote computer; a signal input terminal of the myoelectricity detecting module, a signal input terminal of the blood oxygen detecting module, a signal input terminal of the muscular tension detecting module and a signal input terminal of the breath detecting module are correspondingly connected with a myoelectricity signal sensor, a blood oxygen signal sensor, a muscular tension signal sensor and a breath signal sensor respectively; a signal output terminal of the myoelectricity detecting module and a signal output terminal of the blood oxygen detecting module are connected with the local terminal computer. The rehabilitation training remote monitoring system has the advantages of enabling physicians to achieve remote monitoring of user physiological information and satisfying requirements for remote rehabilitation training; not influencing user movement during the rehabilitation training process and reducing user troubles in connecting wires; allowing measuring of various physiological signals; being convenient to wear.

Description

technical field [0001] The invention relates to a remote monitoring system for rehabilitation training. Background technique [0002] In recent years, due to the increase in the incidence of stroke and the increase in patients with sports injuries, the development and demand for rehabilitation medical devices have been greatly promoted. In the process of rehabilitation training, patients often need to remotely monitor the patient's physiological information in real time, so as to provide a basic basis for doctors to correctly diagnose the disease and formulate scientific rehabilitation training programs. However, the physiological information measurement devices used in hospitals are usually expensive, bulky and inconvenient to use. When measuring multiple physiological signals, the user must connect all the sensors through wires on the body, and usually a relatively large host may be required , which severely restricts the user's actions. Furthermore, if it is necessary t...

AI Technical Summary

Problems solved by technology

However, the physiological information measurement devices used in hospitals are usually expensive, bulky and inconvenient to use. When measuring multiple physiological signals, the user must connect all the sensors through wires on the body, and usually a relatively large host may be required , which would severely limit the user's actions

Furthermore, if it is necessary to move during the measurement period, the medical staff must re-match the connecting wires, which also causes a lot of trouble for the medical staff.

How to monitor physiologic