Wearable intelligence system for health care: Synergizing smart devices and RNN-LSTM through IoT
Gaganpreet Kaur, Anuj Kumar Jain, Nitin K. Jain, Sanjoy Kumar Debnath, Susama Bagchi, Abhinav Kumar · Computational Methods in Science and Technology · 2024
The rapid advancement of technology has paved the way for transformative changes in the healthcare area. Fitness trackers and other smart wearables that can continuously gather a plethora of physiological data from users have become increasingly popular. The system creates a seamless connection amongst patients and healthcare professionals by utilizing the capabilities of these devices, enabling real-time data transmission and analysis. Data flow is coordinated by the intelligent IoT framework, which also ensures that the data is securely transmitted, stored, and retrieved. The proposed study creates a Wearable with the (IoT)-based integrated healthcare system for initial detection with higher performance. The suggested integrated healthcare system makes use of wearable technology and deep learning methods to improve patient monitoring, diagnosis, and treatment. To detect those individuals who are afflicted at an early stage before the illness advances, the system makes use of the WIoT based on Artificial Intelligence technology. The proposed wearable health care system uses RNN-LSTM to monitor the data collected. It achieves an accuracy of 93% at epoch is 60 and batch size for RNN-LSTM is 100.