r24 pilot project: quantitatively imaging internal muscle activities from multi-channel surface emg...

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R24 Pilot Project: Quantitatively Imaging Internal Muscle Activities from Multi-channel Surface EMG Recordings Yingchun Zhang, PhD Assistant Professor Department of Biomedical Engineering University of Houston Office: SERC 2011 Phone: 713-743-6127 Email: [email protected]

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Page 1: R24 Pilot Project: Quantitatively Imaging Internal Muscle Activities from Multi-channel Surface EMG Recordings Yingchun Zhang, PhD Assistant Professor

R24 Pilot Project: Quantitatively Imaging Internal Muscle Activities

from Multi-channel Surface EMG Recordings

Yingchun Zhang, PhD

Assistant ProfessorDepartment of Biomedical Engineering

University of Houston

Office: SERC 2011Phone: 713-743-6127

Email: [email protected]

Page 2: R24 Pilot Project: Quantitatively Imaging Internal Muscle Activities from Multi-channel Surface EMG Recordings Yingchun Zhang, PhD Assistant Professor

PPT模板下载: www.1ppt.com/moban/

Computational Model of Hand/FDI

The FDI include two parts which have different fiber directions. This direction can be acquired by high resolution MRI image. The distances between dipoles along the muscle fiber direction is 0.8mm; the distance between different muscle fibers is 1.5 mm. So each dipole stands for muscle volume of 1.8mm3.

Fig (1) Anatomy, Fig (2) FDI geometries Fig (3) Computational model

Page 3: R24 Pilot Project: Quantitatively Imaging Internal Muscle Activities from Multi-channel Surface EMG Recordings Yingchun Zhang, PhD Assistant Professor

Thanks