Description

Abstract

Movement disorder therapies involving sonography and rhythmic entrainment have shown lasting improvement to gait dynamics. This project can be considered as a tool for the acquisition of muscle activity, their analysis and presentation as a live biofeedback signal that distinguish between typical and atypical gait patterns. Muscle activity is recorded and analyzed on Arduino, then sent to remote service with the help of IoT concepts, where thingspeak been used where this help in the telemetry of the obtained signals using the cloud. Emg sensor input is given to Node MCU. By developing this tool that can be used at home the user will be able to train daily and maintain longer rehabilitation programs, thus encouraging neural reorganization. This can also help us in monitoring the progress of the patient treatment even if the physiotherapist could come and data can be directly sent to them.

Demo Video

Block diagram

Block diagram description

In this project, we have used the EMG sensor to measures the muscle condition on the human body and the sensor data are sent to the microcontroller that means Nodemcu esp8266. The microcontroller as sent the data’s to the cloud of Thingspeak and sensor value are abnormal means the buzzer will blow

Hardware

• Nodemcu ESP8266
• Emg Sensor
• Buzzer

Software

• Arduino IDE
• Orcad Design
• Thingspeak Android App