Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets
被引:7
|
作者:
Suwansawang, Sopapun
论文数: 0引用数: 0
h-index: 0
机构:
Univ York, Dept Elect, York, N Yorkshire, England
Nakhon Pathom Rajabhat Univ, Dept Elect, Fac Sci & Technol, Nakhon Pathom, ThailandUniv York, Dept Elect, York, N Yorkshire, England
Suwansawang, Sopapun
[1
,2
]
Halliday, David M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ York, Dept Elect, York, N Yorkshire, EnglandUniv York, Dept Elect, York, N Yorkshire, England
Halliday, David M.
[1
]
机构:
[1] Univ York, Dept Elect, York, N Yorkshire, England
PROCEEDINGS OF THE 10TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 4: BIOSIGNALS
|
2017年
关键词:
Analytic Wavelets;
Phase Synchronization;
Cone of Influence;
Non-stationary Analysis;
EMG;
D O I:
10.5220/0006111800340041
中图分类号:
R318 [生物医学工程];
学科分类号:
0831 ;
摘要:
Time-frequency analysis is a powerful and popular tool for studying time-varying properties of non-stationary neurophysiological signals. In this study, time-frequency based coherence and phase locking value (PLV) analysis using generalized Morse wavelets are presented. The methods are applied to pairs of surface EMG signals recorded from leg muscles during treadmill walking in healthy human subjects. Time-frequency based coherence and PLV analysis in this study detect similar patterns of 8-15 Hz and 15-20 Hz common modulation of EMG during locomotion. Our results suggest that a combination of both methods would be suitable for investigating and characterising non-stationary neurophysiological data. An understanding of the basic principles of normal locomotion can further provide insight into pathological locomotion deficits.