BibTeX:

@article{IJIRSTV3I6020,
     title={GAIT Disturbances in Geriatric Patients Based on Activity Recognition and Foot Step Monitoring},
     author={Dr. R. M. S. Parvathi},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={6},
     pages={51--57},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I6020.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The main aim of this research work is to design and implement a system for Health monitoring and fall detection in elderly people i.e, Geriatric patients accompanied by a system to perform Gait Disturbance Analysis. Health monitoring involves continuous monitoring of health conditions of disabled, elderly patients using many measures and parameters based on Remote Patient Monitoring (RPM) technologies. Gait Analysis involves conveying important information about one’s physical and cognitive conditions using inertial sensors. Health monitoring provides a platform for monitoring health conditions like temperature, heartbeat rate of elderly citizens using an intelligent and a versatile health monitoring system that could help the elderly and individuals with disability, live independently in their own homes. If the monitored health conditions are abnormal, a message can be sent via GSM to the people concerned. It serves as a cost effective approach for personal care. An unobtrusive system capable of detecting accidental falls is also designed. The parameters obtained from the above mentioned systems are transmitted via GSM to the concerned health care professionals for smooth monitoring of gait disturbances in the elderly patients.

Gait Disturbance Analysis, Fall Detection, Health Monitoring, Geriatric Patients, Remote Patient Monitoring (RPM) Technologies, Foot Step Monitoring