Wearable wireless sensor network to assess clinical status in patients with neurological disorders

ABSTRACT

The goal of this project is to develop wireless sensors and analysis methods to monitor patients with various motor dysfunctions. We are currently targeting two specific applications: facilitating medication titration in patients with Parkinson's disease and assessing motor recovery in stroke survivors undergoing rehabilitation. In our vision, the treatment and rehabilitation hospital of the future will allow clinicians to continuously monitor motor activity in patients via miniature sensor technology in order to better design interventions on an individual basis. Two key points toward developing the tools necessary to achieve continuous monitoring of motor function are (1) development of a robust and deployable wearable wireless network of sensors and (2) the development of analysis techniques to derive clinically relevant information from miniature sensor data.

REFERENCES

• 1: Wolf SL, Catlin PA, Ellis M, Archer AL, Morgan B, Piacentino A, "Assessing Wolf Motor Function Test as outcome measure for research in patients after stroke", Stroke, 32: 1635, 2001.
• 2: Pincus SM, "Approximate entropy as a measure of system complexity", Proc Natl Acad Sci, 88:2297--2301, 1991.
• 3: Todd Hester , Richard Hughes , Delsey M. Sherrill , Bethany Knorr , Metin Akay , Joel Stein , Paolo Bonato, Using Wearable Sensors to Measure Motor Abilities following Stroke, Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), p.5-8, April 03-05, 2006 [doi>10.1109/BSN.2006.57]
• 4: Shyamal Patel , Delsey Sherrill , Richard Hughes , Todd Hester , Theresa Lie-Nemeth , Paolo Bonato , David Standaert , Nancy Huggins, Analysis of the Severity of Dyskinesia in Patients with Parkinson's Disease via Wearable Sensors, Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), p.123-126, April 03-05, 2006 [doi>10.1109/BSN.2006.10]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software

General Terms:
Design, Experimentation, Human Factors, Measurement

Keywords:
medical monitoring, sensor networks