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Moore, Levi M.An Enhanced Body Area Network to Wirelessly Monitor Biometric Information
Master of Science (MS), Ohio University, 2017, Electrical Engineering & Computer Science (Engineering and Technology)
Body Area Networks are beneficial in many applications including fitness tracking and remote healthcare monitoring. This thesis discusses system enhancements to the award-winning Ohio University Body Area Network system which senses heart rate, integrates an inertial measurement unit, and measures ambient temperature. An upgraded ARM-based Nordic microprocessor was implemented to collect and process biometric sensor data and utilize low-energy Bluetooth (BLE) to transmit data via a Bluetooth antenna. Data is received on an updated Android application running on a handheld Nexus 5 Smartphone. Power received measurements were performed to compare the Baseline and Enhanced systems using several Bluetooth antenna solutions including an e-textile spiral antenna, a traditional inset-fed patch antenna, and a printed monopole antenna.

Committee:

Chris Bartone (Advisor); Savas Kaya (Committee Member); Maarten Uijt De Haag (Committee Member); David Drozek (Committee Member)

Subjects:

Computer Engineering; Electrical Engineering

Keywords:

Body Area Network; Remote Healthcare Monitoring; Biometric Sensors; Bluetooth Low Energy; ARM-based Microcontroller

Sun, YeNON-CONTACT WEARABLE BODY AREA NETWORK FOR DRIVER HEALTH AND FATIGUE MONITORING
Doctor of Philosophy, Case Western Reserve University, 2014, EECS - Electrical Engineering
The rapidly growing aging population is a global phenomenon in the recent decades. The concomitant prevalence of chronic diseases necessitates proactive approaches to reduce the high cost and enhance the biocompatibility and operability of the current healthcare systems. As a result, preventive, proactive, and human-centric healthcare needs to be developed to complement the current reactive and hospital-centric healthcare to provide high-quality monitoring and assistance without interrupting patients’ daily lives. This study aims to facilitate the development of human-centered health monitoring system with a focus on driver health and fatigue monitoring. A comprehensive framework for human centered health monitoring has been development that includes three major components, i.e., enabling technology, human factor, and computational diagnosis. In the technology part, this study established a non-intrusive and non-contact monitoring platform for human health. Unlike the conventional clinical bio-potential measurement system, the platform is able to acquire the electrophysiological signals with a gap between the skin and the electrodes that is occupied by hair, cloth, and air. The non-contact monitoring platform avoids skin irritation and allergic contact dermatitis and is suitable for long-term monitoring purpose. To increase the flexibility in practical application, a body area network has also been integrated and tested for different scenarios such as driving and home monitoring. The developed enabling technology was validated using simulated driving scenario as a test bench, since it constitutes a high stress and high risk condition. For the human factor component, analyses were conducted on physiological data collected on drivers operating a high fidelity driving simulator. This involves driver state analyses particularly related to drowsiness and mental stress. The computational component involved the development of algorithms to assess the robustness of different physiological indicators for the extent of driver fatigue. Moreover, physiological signals for mental stress were also investigated which will serve as the technical basis for timely assistance.

Committee:

Xiong Yu (Advisor); Francis Merat (Committee Member); Philip Feng (Committee Member); Chung-Chiun Liu (Committee Member)

Subjects:

Electrical Engineering

Keywords:

Body area network, health monitoring, driver fatigue, human factor

Chakraborty, SuryadipWireless Body Area Network in Real-time Monitoring Application
MS, University of Cincinnati, 2013, Engineering and Applied Science: Computer Science
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.

Committee:

Dharma Agrawal, D.Sc. (Committee Chair); Robert E. Mangine, M.Ed. P.T. A.T.C. (Committee Member); Alberto Espay, M.D. M.Sc. (Committee Member); Chia Han, Ph.D. (Committee Member)

Subjects:

Computer Science

Keywords:

Wireless Body Area Network;Parkinsons Diseases;Freezing of Gait;Real time monitoring;Squat Exercise;Athletic Monitoring