Tremomarker Tremor Detection for Diagnosis in a Non-Clinical Approach Using IoT

Abstract

Tremomarker is a wearable, hand tremor quantification device and it is made up of accelerometer and gyroscope used for the detection of tremor. For many neurological diseases tremor is marked as a major symptom, by knowing its intensity, different types of diseases can be identified and treated correspondingly. Parkinson's disease is taken for case study because its pathological tremor is one of the major visible symptom and by knowing its intensity, other diseases can also be treated. The data of the detected tremor is transferred to the diagnosis system using IoT gateway, from which the intensity and severity of the disease is determined. The device is small, light weight, easily portable and low cost. Because of the above features it is easily accessible and user friendly to all category of people.