Surface EMG and acceleration signals in Parkinson's disease: feature extraction and cluster analysis.
about
Technologies for Assessment of Motor Disorders in Parkinson's Disease: A Review.Non-Linear EMG Parameters for Differential and Early Diagnostics of Parkinson's Disease.Effect of glenohumeral forward flexion on upper limb myoelectric activity during simulated mills manipulation; relations to peripheral nerve biomechanicsUnbiased and mobile gait analysis detects motor impairment in Parkinson's diseaseTemporal fluctuations of tremor signals from inertial sensor: a preliminary study in differentiating Parkinson's disease from essential tremor.Analysis of EMG and acceleration signals for quantifying the effects of deep brain stimulation in Parkinson's disease.Intraoperative acceleration measurements to quantify improvement in tremor during deep brain stimulation surgery.A novel approach for SEMG signal classification with adaptive local binary patterns.Automatic Classification of Tremor Severity in Parkinson's Disease Using a Wearable Device.Design of a noninvasive and smart hand tremor attenuation system with active control: a simulation study.Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity.Diagnosis of Parkinson's disease using electrovestibulography.Levodopa-Induced Changes in Electromyographic Patterns in Patients with Advanced Parkinson's Disease.Parameters of Surface Electromyogram Suggest That Dry Immersion Relieves Motor Symptoms in Patients With Parkinsonism
P2860
Q26781340-62C9A1E0-17AB-4E0C-834C-7C553CF30B4EQ30449049-65D29233-E856-448D-A2B6-E3DD23C96DBDQ34169090-FAA8E282-92DD-41E6-904C-417012D3299BQ34595203-1A8406C6-D0BE-40E5-98C7-F2B22AF7E548Q36246524-227093F3-A4CD-4371-9B58-AAFB01FDB436Q37414740-6E295338-F545-4A8B-AB83-AB10F6E4C8CFQ39387055-FB896AC5-38D3-44A5-A8CF-A44035263DC1Q40157337-945EC355-B915-4FFF-8928-A9DC256EF92AQ41762059-E4943861-492B-4022-AF9D-0B1E3AC3E6C4Q47203257-3CC2A29B-ED91-4A93-8C86-C5C37740DD14Q47210585-582FB4BB-C723-4C05-9DDB-12CD132B7890Q48624479-6A2560E9-16FE-443D-A673-F5BE37AF901BQ49829507-077E2935-986F-4835-87B5-1D8DE17EBD36Q57491522-4FBCBABB-A8F2-4D5B-B012-07B266966BB0
P2860
Surface EMG and acceleration signals in Parkinson's disease: feature extraction and cluster analysis.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Surface EMG and acceleration s ...... traction and cluster analysis.
@en
type
label
Surface EMG and acceleration s ...... traction and cluster analysis.
@en
altLabel
Surface EMG and acceleration s ...... xtraction and cluster analysis
@en
prefLabel
Surface EMG and acceleration s ...... traction and cluster analysis.
@en
P2093
P50
P1476
Surface EMG and acceleration s ...... traction and cluster analysis.
@en
P2093
Ina M Tarkka
Juho Nuutinen
Markku Kankaanpää
Olavi Airaksinen
P304
P356
10.1007/S11517-008-0369-0
P577
2008-07-17T00:00:00Z