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Deep-brain stimulator and control of Parkinson's disease
Vijay K. Varadan
,
Robert Harbaugh
, Jose K. Abraham
Department of Neurosurgery
Penn State Cancer Institute
Research output
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Contribution to journal
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Conference article
›
peer-review
Overview
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Keyphrases
Sensor Systems
100%
Parkinson's Disease
100%
Deep Brain Stimulator
100%
Feedback Device
50%
Neurological Disorders
50%
Motor Activity
50%
Cell Phone
33%
Tremor
33%
Healthcare Workers
33%
PD Patients
33%
Control Pulse
33%
Epilepsy
16%
Wireless
16%
Number of Patients
16%
Medical Applications
16%
Microsensor
16%
Microsystems
16%
Sensor Networks
16%
Effective Means
16%
Feedback System
16%
Patient Condition
16%
Activity Rhythm
16%
Remote Monitoring
16%
Wireless Sensor
16%
Wirelessly
16%
Head Injury
16%
Demodulate
16%
Internet Use
16%
Electroactive Polymer Actuator
16%
Parkinson
16%
Hydrocephalus
16%
Pressure Sensor
16%
Physiological Data
16%
Systems Focus
16%
Emergency Situation
16%
Network Systems
16%
MEMS Sensor
16%
Polymer MEMS
16%
Network Feedback
16%
Gyroscope Sensor
16%
Accelerometer Sensor
16%
Doctor's Office
16%
Patient Movement
16%
Internet Phone
16%
Implantable Systems
16%
Medicine and Dentistry
Skeleton
100%
Parkinson's Disease
100%
Nervous System Disorder
75%
Motor Activity
75%
Pulse Rate
50%
Health Care
50%
Health Care Cost
25%
Feedback System
25%
Hydrocephalus
25%
Closed Head Injury
25%
Physician
25%
Apoplexy
25%
Remote Sensing
25%
Accelerometer
25%
Engineering
Sensor System
100%
Feedback Sensor
50%
Microelectromechanical System
33%
Health Care
33%
Telemetry System
16%
Microsystem
16%
Microsensor
16%
Cellphone
16%
Sensor Network
16%
Wireless Sensor
16%
Main Advantage
16%
Medical Applications
16%
Effective Mean
16%
Emergency Situation
16%
Coupled Antenna
16%
Network System
16%
Mobile Phones
16%
Actuator
16%
Pressure Sensor
16%
Neuroscience
Parkinson's Disease
100%
Nervous System Disorder
75%
Tremor
50%
Closed Head Injury
25%
Hydrocephalus
25%
Cerebrovascular Accident
25%
Computer Science
Motor Activity
75%
Feedback Sensor
75%
Telemetry System
25%
Medical Application
25%
Feedback System
25%
Chemical Engineering
Microelectromechanical System
100%