The Wireless Body Area Sensor Network (WBASN) is a wireless network of wearable computing devices including few medical body sensors which capture and transmit different physiological data wirelessly to a monitoring base station like laptop so as to provide the real time health information of a person in a non-invasive way where the person, instead of implanting the miniaturized body sensor units inside the body, puts the sensors on the body surface.
E-Healthcare is a popular healthcare application of WBASN, used today. Applications such as monitoring of patients with movement disorders, and specially the elderly for early fall detection, monitoring the injury of the athletes etc. are very recent and popular applications of WBASN. This research focuses on such important applications of continuous, non-invasive, wireless monitoring of both the patients suffering from Parkinson's disease (PD) to prevent falls and potential injuries and the sports-athletes to assess their injuries that occurs during the game.
During the work of monitoring PD patients, we propose a non-invasive, wireless technique that could detect multiple occurrences of Freezing of Gait (FoG ) over single or multiple days of observation. Here we focus on building a home based monitoring system which involves embedding of wireless sensors in the patient's vicinity, such as in his room. Analyzing the values of Received Signal Strength Indicator (RSSI), which is the measure of received signal strength, from these sensor nodes we implement a robust patient's activity monitoring system for early fall detection. We also propose the use of force detection sensors to detect and record the multiple occurrences of FoG episodes, which is not possible to record at the doctor's clinic due to its relation with the degree of consciousness when a person is at hospital. We also plan to derive different mobility patterns for a PD patient based on the RSSI values during a day's activity and then train the system for intelligent analysis in future.
Athletic-monitoring is another important application of WBASN as stated earlier in which we focus on determining the injury among athletes that can provide an objective analysis of the human body movement during regular athletic exercises like overhead squat by providing foot pressure on each segment of foot, in ideal position as athlete sits back with straight knees, then pressure greatest at heel and low pressure at forefoot. We have implemented force sensors in the sole of the athlete’s shoe to build the foot pressure measuring system to determine the force exerted on foot on the floor during different phases of the overhead squat which significantly helps the athlete’s coaches and trainers to assess the level of injuries, performance, and strength in the posterior, balance control and core stability.