Parkinson's disease (PD) is classified as a movement disorder resulting from insufficient dopamine production by brain nerve cells. While genetics can be a factor in some instances, the majority of cases do not exhibit a familial pattern. There is a potential association with environmental chemical exposure.
Published in Chapter:
IoT-Based Monitorization and Caliber Checker With Multiple Decision Making Using Faster R-CNN and Kalman Filter for Visually Impaired Elders: IoT-Based Old Age Health Monitoring
S. Sindhu (SRM Institute of Science and Technology, India) and
R. Sivasankari (SRM Institute of Science and Technology, India)
Copyright: © 2024
|Pages: 20
DOI: 10.4018/979-8-3693-1463-0.ch009
Abstract
In the field of healthcare, the internet of things (IoT) plays a crucial role in prediction, multiple decision-making, and alarm systems. The highest rate of death among the elderly is greater than 60%. Due to numerous COVID-19 facts, 70 percent of the overall population in India is afflicted, up from 50 percent. Around 48 percent of the elderly are plagued by the disease in Tamil Nadu, India. In tropical countries like India, handling pandemic situations is very new, and people here aren't prepared to deal with the circumstances. This chapter aims to assist in the monitoring of senior citizens in their homes rather than in hospitals. It is used to monitor their health difficulties, such as blood pressure, temperature, diabetes, a range of cardiac problems, and collapsing. Not only the health-related problems The R-CNN algorithm aids in making various decisions based on IoT data It may predict the situation and make decisions based on a variety of parameters and criteria. As a result of the essential alert to the doctor and caretaker for making the suitable decision