Imperial College London

DrRaviVaidyanathan

Faculty of EngineeringDepartment of Mechanical Engineering

Senior Lecturer in Bio-Mechatronics
 
 
 
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Contact

 

+44 (0)20 7594 7020r.vaidyanathan CV

 
 
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Location

 

717City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Woodward:2017:10.1109/TMECH.2017.2715163,
author = {Woodward, R and Shefelbine, S and Vaidyanathan, R},
doi = {10.1109/TMECH.2017.2715163},
journal = {IEEE/ASME Transactions on Mechatronics},
pages = {2022--2033},
title = {Pervasive monitoring of motion and muscle activation: inertial and mechanomyography fusion},
url = {http://dx.doi.org/10.1109/TMECH.2017.2715163},
volume = {22},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Muscle activity and human motion are useful pa-rameters to map the diagnosis, treatment, and rehabilitation ofneurological and movement disorders. In laboratory and clinicalenvironments, electromyography (EMG) and motion capturesystems enable the collection of accurate, high resolution data onhuman movement and corresponding muscle activity. However,controlled surroundings limit both the length of time and thebreadth of activities that can be measured. Features of movement,critical to understanding patient progress, can change duringthe course of a day and daily activities may not correlate to thelimited motions examined in a laboratory. We introduce a systemto measure motion and muscle activity simultaneously over thecourse of a day in an uncontrolled environment with minimalpreparation time and ease of implementation that enables dailyusage. Our system combines a bespoke inertial measurement unit(IMU) and mechanomyography (MMG) sensor, which measuresthe mechanical signal of muscular activity. The IMU can collectdata continuously, and transmit wirelessly, for up to 10 hours.We describe the hardware design and validation and outline thedata analysis (including data processing and activity classificationalgorithms) for the sensing system. Furthermore, we presenttwo pilot studies to demonstrate utility of the system, includingactivity identification in six able-bodied subjects with an accuracyof 98%, and monitoring motion/muscle changes in a subjectwith cerebral palsy and of a single leg amputee over extendedperiods (∼5 hours). We believe these results provide a foundationfor mapping human muscle activity and corresponding motionchanges over time, providing a basis for a range of novelrehabilitation therapies.
AU - Woodward,R
AU - Shefelbine,S
AU - Vaidyanathan,R
DO - 10.1109/TMECH.2017.2715163
EP - 2033
PY - 2017///
SN - 1083-4435
SP - 2022
TI - Pervasive monitoring of motion and muscle activation: inertial and mechanomyography fusion
T2 - IEEE/ASME Transactions on Mechatronics
UR - http://dx.doi.org/10.1109/TMECH.2017.2715163
UR - http://hdl.handle.net/10044/1/48515
VL - 22
ER -