Mobile application with simple moving average filtering for monitoring finger muscles therapy of post-stroke people

Abstract

Mobile application was created to visualize the practical data from portable therapy device ETG (Electronic Therapy Gloves), but there are still weaknesses in these systems, sometimes still contained the data errors from the sensors on the ETG. Data is something that is very important for the development of the product. But it would be a waste if the data was not good. Depending on the situation, the following things (bad data) can be caused by many obstacles, especially on wireless network like noise, fading and data error. So that the data processing is really important that can be used in Electronic Therapy Gloves System. The sensors read the data and get preprocessing in microcontroller then transfer the data via wireless communication (Bluetooth) to the mobile application and then the data can be processed (filtering). This paper adds simple moving average algorithm for filtering, so the data result would be smoother and the practical result of the therapy with ETG would be more valid. So that the doctor and therapist can be facilitated to monitor the patient using ETG with the mobile application.