Wireless IoT system towards GAIT Detection
in Stroke Patient
Author(s)
Madhura S Peshave
Ashish D Sarule
Kartiki S Rasal.
Abstract
This project presents a Wireless IoT System
designed for gait detection in stroke patients. By utilizing
wearable sensors equipped with accelerometers and
gyroscopes, the system continuously monitors and analyzes
gait patterns. The collected data is transmitted wirelessly
to a central platform, where advanced algorithms process
and interpret the information. This enables real-time
feedback and monitoring, facilitating personalized
rehabilitation and tracking of patient progress. The system
aims to enhance the accuracy of gait assessment, support
effective rehabilitation strategies, and ultimately improve
patient outcomes.