Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations.
about
Electrocardiogram classification using delay differential equationsNon-linear dynamical analysis of EEG time series distinguishes patients with Parkinson's disease from healthy individuals.Quantification of Finger-Tapping Angle Based on Wearable Sensors.Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data.Non-linear dynamical classification of short time series of the rössler system in high noise regimes.Objective assessment of bradykinesia in Parkinson's disease using evolutionary algorithms: clinical validation
P2860
Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Finger tapping movements of Pa ...... delay differential equations.
@en
Finger tapping movements of Pa ...... delay differential equations.
@nl
type
label
Finger tapping movements of Pa ...... delay differential equations.
@en
Finger tapping movements of Pa ...... delay differential equations.
@nl
prefLabel
Finger tapping movements of Pa ...... delay differential equations.
@en
Finger tapping movements of Pa ...... delay differential equations.
@nl
P2093
P2860
P356
P1433
P1476
Finger tapping movements of Pa ...... r delay differential equations
@en
P2093
P2860
P304
P356
10.1063/1.3683444
P577
2012-03-01T00:00:00Z