A mobile health application for falls detection and biofeedback monitoring

A mobile health application solution with biofeedback based on body sensors is very useful to perform a data collection for patients remote monitoring. This system allows comfort, mobility, and efficiency in all the process of data collection providing more confidence and operability. Falls represent a high risk for debilitated elderly people. Falls can be detected by the accelerometer presented in most of the available mobile devices. To reverse this tendency, more accurate data for patients monitoring can be obtained from the body sensors attached to a human body (such as, electro cardiogram, electromyography, blood pressure, electro dermal activity, and temperature). Then, this paper proposes a mobile solution for falls detection and biofeedback monitoring. The proposed system collects sensed data from body that is forwarded to a smartphone or tablet through Bluetooth. Mobile devices are used to display information graphically to users. All the process of data acquisition is performed in real time. The proposed system is evaluated, demonstrated, and validated through a prototype and it is ready for use.