Research
Title : | Development of wearable IoT electronic device for at-home assessment and monitoring of Parkinson's disease |
Area of research : | Engineering Sciences |
Principal Investigator : | Dr. sunitha Anantha Karnam, sRM University, Andhra Pradesh |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | sunitha.ka@srmap.edu.in |
Equipments : | ToF sensor Quectel UC20EC Evaluation Board (EVB) Kit IMU sensors |
Details
Executive Summary : | The study proposes a low-cost, non-intrusive system that can accurately measure a wide range of tremor parameters using ToF Image sensors, Wearable IMU sensor and AI evaluation board. Images from ToF cameras are usually obtained as synchronized depth and infrared (IR) image pairs. The customization of the existing deep nets to the IR and depth images allows us to reuse the existing models and techniques from this emerging domain. The applications targeted are ranging from resting tremor patients to gait analysis. |
Co-PI: | Dr. sridhar PA, sRM Institute Of science And Technology, Tamil Nadu-603203, Dr. Brindha Anbalagan, sRM Institute Of science And Technology, Tamil Nadu-603203 |
Total Budget (INR): | 19,90,200 |
Organizations involved
Implementing Agency : | sRM University, Andhra Pradesh |
Funding Agency : | Anusandhan National Rsearch Foundation (ANRF)/science and Engineering Research Board (sERB) |
Source : | Anusandhan National Research Foundation/science and Engineering Research Board (sERB), DsT 2023-24 |