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Processing Wearable Sensor Data to Optimize Deep-Brain Stimulation
January-March 2008 (vol. 7 no. 1)
pp. 56-61
ASCII Text
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Shyamal Patel, 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.
 
 
BibTex
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@article{ 10.1109/MPRV.2008.15,
author = {Shyamal Patel and Todd Hester and Richard Hughes and Nancy Huggins and Alice Flaherty and David Standaert and John Growdon and Paolo Bonato},
title = {Processing Wearable Sensor Data to Optimize Deep-Brain Stimulation},
journal ={IEEE Pervasive Computing},
volume = {7},
number = {1},
issn = {1536-1268},
year = {2008},
pages = {56-61},
doi = {http://doi.ieeecomputersociety.org/10.1109/MPRV.2008.15},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Pervasive Computing
TI - Processing Wearable Sensor Data to Optimize Deep-Brain Stimulation
IS - 1
SN - 1536-1268
SP56
EP61
EPD - 56-61
A1 - Shyamal Patel,
A1 - Todd Hester,
A1 - Richard Hughes,
A1 - Nancy Huggins,
A1 - Alice Flaherty,
A1 - David Standaert,
A1 - John Growdon,
A1 - Paolo Bonato,
PY - 2008
KW - deep-brain stimulation
KW - Parkinson’s disease
KW - sensors
KW - accelerometer data
KW - data capture
KW - data analysis
VL - 7
JA - IEEE Pervasive Computing
ER -
 
Shyamal Patel, Spaulding Rehabilitation Hospital, Harvard Medical School
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
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.

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Index Terms:
deep-brain stimulation, Parkinson’s disease, sensors, accelerometer data, data capture, data analysis
Citation:
Shyamal Patel, 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, Jan.-Mar. 2008, doi:10.1109/MPRV.2008.15
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