Paper Info
Title
Differentiating essential tremor and Parkinson's disease using a wearable sensor — A pilot study
Abstract
Essential tremor is the most common form of tremors presenting an outpatient neurology practice and yet it may be often difficult to differentiate with tremors in Parkinson's disease - one of the commonest neurodegenerative disease. Since using appropriate medication is fundamental for efficacy and avoiding serious side effects, precise diagnoses are recommended. Single photon emission computerized tomography (SPECT) of the dopamine transporter (DAT) is a sensitive and specific imaging tool, but expensive and not advisable as screening means. Wearable devices are developing such effective and affordable supports for clinicians. This work aims to be a pilot study of future tremor classification. A low-cost miniaturized wearable device was exploited to collect movements of subject's hand during resting, postural and kinetic tasks. Data were analyzed to extract parameters describing tremors frequency distribution. Results confirm that PD and ET are well separated in the frequency domain, laying the basis for accurate classification.
Year
DOI
Venue
2017
10.1109/IWASI.2017.7974254
2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)
Keywords
Field
DocType
Essential tremor,Parkinson's disease,differential diagnosis,wearable sensors
Biomedical engineering,Parkinson's disease,Essential tremor,Wearable computer,Single photon emission computerized tomography,Neurology,Physical medicine and rehabilitation,Imaging Tool,Wearable technology,Medicine,Medical diagnosis
Conference
ISBN
Citations 
PageRank 
978-1-5090-6708-4
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
patrick locatelli121.46
Dario Alimonti200.34