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Issue No.01 - January-March (2008 vol.7)
pp: 56-61
Todd Hester , Spaulding Rehabilitation Hospital, Harvard Medical School
Richard Hughes , Spaulding Rehabilitation Hospital, Harvard Medical School
Nancy Huggins , Massachusetts General Hospital, Harvard Medical School
Alice Flaherty , Massachusetts General Hospital, Harvard Medical School
David Standaert , University of Alabama at Birmingham
John Growdon , Harvard Medical School
Paolo Bonato , Spaulding Rehabilitation Hospital, Harvard Medical School
ABSTRACT
The pilot work presented here represents a first step toward implementing advanced strategies to optimize clinical outcomes of deep brain stimulation in Parkinson’s disease using systematic data capture and analysis. The authors reliably predicted clinical outcomes by processing accelerometer data that captured motor responses to changes in deep-brain stimulation parameters. Deep-brain stimulation can help manage Parkinson’s symptoms. This department is part of a special issue on implantable electronics.
INDEX TERMS
deep-brain stimulation, Parkinson’s disease, sensors, accelerometer data, data capture, data analysis
CITATION
Todd Hester, Richard Hughes, Nancy Huggins, Alice Flaherty, David Standaert, John Growdon, Paolo Bonato, "Processing Wearable Sensor Data to Optimize Deep-Brain Stimulation", IEEE Pervasive Computing, vol.7, no. 1, pp. 56-61, January-March 2008, doi:10.1109/MPRV.2008.15
REFERENCES
1. P. Bonato, "Advances in Wearable Technology and Applications in Physical Medicine and Rehabilitation," J. Neuroengineering Rehabilitation, vol. 2, no. 2, 2005, p. 2.
2. G. Deuschl et al., "A Randomized Trial of Deep-Brain Stimulation for Parkinson's Disease," New England J. Medicine, vol. 355, no. 9, 2006, pp. 896–908.
3. J.I. Hoff et al., "Accelerometric Assessment of Levodopa-Induced Dyskinesias in Parkinson's Disease," Movement Disorders, vol. 16, no. 1, 2001, pp. 58–61.
4. P. Bonato et al., "Data Mining Techniques to Detect Motor Fluctuations in Parkinson's Disease," Proc. 26th An. Int'l Conf. IEEE Eng. Medicine and Biology Society (EMBS 04), IEEE Press, vol. 7, 2004, pp. 4766–4769.
5. P.E. Hart, R.O. Duda, and D.G. Stork, Pattern Classification, 2nd ed., John Wiley &Sons, 2001.
6. B. Post et al., "Unified Parkinson's Disease Rating Scale Motor Examination: Are Ratings of Nurses, Residents in Neurology, and Movement Disorders Specialists Interchangeable?" Movement Disorders, vol. 20, no. 12, 2005, pp. 1577–1584.
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