Digital Image Processing and IoT in Smart Health Care -A review

Health care and well-being are concerned with the upkeep or maintenance of humans through preventative medicine, diagnosis, therapies, regeneration, or prevention of disease, ailment, injury, and other health-related conditions in people. Healthcare is unique in comparison to other industries. It is an elevated segment, and people expect the best possible care and services at all costs. Through continuous integration and resource optimization, the use of IoT technology in health applications enables the health care industry to improve care quality while lowering costs. The IoT in diagnostic imaging enables real-time identification and correction of imaging apparatus parameters due to the ease with which imaging apparatus parameters can be auto-analyzed. This paper discusses the impact of online image processing methods in IoT-based health care, which can be beneficial in the health sector for predicting some major human diseases. Due to individuality, image complex nature, extensive variation between interpreters, and fatigue, human experts' ability to interpret images is quite limited. We focus on the role of Digital Image Processing in disease detection, Image Dataset Preparation for Machine and Deep Learning, the role of Digital Image Processing in IOT based applications of health care, a case study of IoT-based healthcare application of disease classification.