Patient Data-Driven Scratch Intensity Classification with LSTM

Everyone is curious about knowing functionality of human body. There are many facts and figures that make's human body center of interaction. Our body consist of bone and muscles. Our body contain around 600 muscles. Those muscles have its unique functionality in our body. When our body is attacked by unknown bacterial infection then our skin reacts and we start itching on particular area. Sometime itching is temporary but some time its causes major problems. In this paper we are using EMG data to identify scratch intensity which help us to identify that itching is normal or contain major issues behind them. Artificial Intelligence is one of great invention of human. Its give power to machine to do task just like human with the passage of time Artificial intelligence show great progress to learn new think so far and improving himself leaps and bounds with their prior knowledge. For example, Neural Network. Especially in the Medical Field we will exam that use of deep learning model increase because of their progress. In this paper we are use LSTM Model to quantification of Scratch intensity of patient at real time data and getting desire results.