Design and development of iot based healthcare monitoring system hms using optimized deep learning techniques

Abstract

The Internet of Things (IoT) has evolved as a technology connecting people and smart things like laptops, Personal Digital Assistants (PDAs), sensors and other wireless devices in a mutual and a seamless manner. This has led to the emergence of various applications starting from the connected cars, smart buildings, and Industrial automation and so on. The healthcare application is one such area where the use of IoT based smart devices has made in roads and have proved to be of significant importance. The reason is attributed to the need for quality healthcare for the ever increasing human population and the unavailability of healthcare infrastructure to meet the demands. Hence the healthcare sector is moving towards adoption of technology based health management systems like the telemedicine, personal healthcare systems and early diagnosis systems. The IoT based biomedical systems play a major role in ensuring the mentioned facts by the way of advanced biomedical sensors being able accurately measure various body parameters, better communication being able to transfer the measured data to the processing units and efficient deep learning algorithms which process the data and provide accurate interpretations. Considerable work has been reported on the development of biomedical instrumentation/ sensor for measuring the various body parameters like blood pressure, heart rate, SPO2 (oxygen) levels, blood sugar, body temperature and so on. Similarly, the evolution of the fifth generation cellular networks has enabled good internet access to the remote and rural villages ensuring a good platform for the communication of the IoT devices. However, the performance of the total IoT system is mainly dependent on its ability to process the received bio medical data process and provide accurate interpretations. Hence the role of the deep learning algorithms plays a major role in this case and is crucial for the effective operation of the complete system. Various Deep Learning algorithms based on the Neural network, Convolution