Presentation on theme: "Shyamal Patel, Bor-rong Chen, Thomas Buckley, Romona Rednic, Doug McClure, Daniel Tarsy, Ludy Shih, Jennifer Dy, Matt Welsh, Paolo Bonato 32 nd Annual."— Presentation transcript:
Shyamal Patel, Bor-rong Chen, Thomas Buckley, Romona Rednic, Doug McClure, Daniel Tarsy, Ludy Shih, Jennifer Dy, Matt Welsh, Paolo Bonato 32 nd Annual International Conference of the IEEE EMBS
Parkinson’s Disease is the most common disorder of movement, affecting about 3% of the population over the age of 65 years and more than 500,000 US residents.
With current and on-going advances in sensor technology it becomes possible to envision an unobtrusive system for monitoring human health on a more continuous basis. This paper presents the development of a general purpose remote monitoring system that can be used for home monitoring of patients with different conditions.
It explored the use of wearable sensors to capture movement features that are associated with changes in the severity of motor fluctuations as they occur during the intervals between medication dosages. It used 8 accelerometers on the upper and lower limbs to monitor patients while they performed a set of standardized motor tasks from the Unified Parkinson’s Disease Rating Scale (UPDRS).
There are several challenges associated with monitoring patients in home. Sensor Network Data Security Clinician-Patient Interaction
A typical wireless body network (BSN) consists of several miniature sensors with limited resources such as storage, bandwidth, processing power and battery capacity. One of the key challenges of a BSN is to efficiently manage available resources so that high data quality is maintained while achieving long battery life.
Interaction between patients and clinicians is critical to the success of a home monitoring application. The requirements could range from simple video conferencing to real-time access to the sensor data. Appropriate data processing procedures must be available to derive clinically-relevant information from the analysis of wearable sensor data.
The implemented home-monitoring system involves software services running at three tiers: central portal server, patient’s hosts, and clinician’s hosts. To ensure both data security and high availability of the remote health monitoring service, a well-provisioned central portal server provides a secure and reliable central location for coordinating real-time data collection and video services.
It developed the wireless BSN platform called Mercury. It supports long-term longitudinal data collections on patients in the hospital and home settings and to overcome the core challenges of long battery lifetime and high data fidelity for long-term studies where patients wear sensors continuously 12 to 18 hours a day.
It presented shows that a home-monitoring system that leverages wireless, wearable sensor technology and a web- based application can be relied upon to gather clinically relevant information for the management of patients with late stage PD. The system has the potential to simplify the process of monitoring the effectiveness of the medication regimen and of titrating medications when deemed necessary.