Bilateral Trainer For Stroke Patient Using Wireless Sensor Network

Abstract: Bilateral Arm Training (BAT) is one of the popular exercises for the patients affected by stroke. Bilateral training can be used to improve unilateral limb functions affected by stroke. The purpose of this work is to include leg trainer along with the arm trainer for early & better recovery. The bilateral arm training is important and is considered as best served because, it helps for stoke patients skill recovery even from severe levels through some alternative exercise mechanisms. This work consists of conventional bilateral arm trainers such as sanding unit which is made of woods and so it can’t provide the data automatically. The proposed work consists of three types of sensors in arm & one pressure sensor in leg using WSN (Wireless Sensor Network) for automatic data collections. One type of sensor have implemented as a pressure sensor for sensing the grip force, second type of sensor have implemented as weight measuring sensor to sense the weight applied & third type of sensor have implemented as distance measuring sensor for measuring the distance. WHART (Wireless High Addressable Remote Transducer) is used as a wireless communication protocol between transmitter & receiver block for transferring the data. EMPCR (Electro Magnetic Proximity Card Reader) have implemented to read the patients information & to store it automatically in controller unit and PC. The use of bilateral arm & leg training is used to activate neural networks, promoting neural plasticity and cortical repair so that can improves the affected limbs.

Keywords: Bilateral Arm Trainer (BAT), Wireless Sensor Networks (WSN), Wireless High Addressable Remote Transducer (WHART), Electro Magnetic Proximity Card Reader (EMPCR).