Flexo is an IoT device with the aim of helping patients achieve their set targets efficiently and get physically stronger.
It is a hand therapy activity tracker that efficiently measures the patients’ performance.
It transmits the collected data to a mobile app, the data can then be analysed
and shared with health professionals as well as the patient.
Research has shown that patients who adhere to their prescribed exercises are
significantly better at achieving their goals and demonstrate a greater increase in physical function.
A large part of the physical therapy segment is the hand therapy,
which helps rehabilitate the hands, fingers, and wrist disorders and injuries
by using physical methods and devices such as grips, balls, bands, stacking cones, and weight bars.
It can also be used for acute or chronic pain.
The device that our team of 4 designed used an FS7548 flex sensor in
conjunction with an ADC amplifier which connected to our ESP8266 module via an
Inter-Integrated Circuit bus. The module was programmed in Micropython, and the
Android app was programmed in Java.
All wireless communication was done through the Message Queuing Telemetry
Transport protocol with QoS 1. There was emphasis on keeping the communication;