Wheelchair Exercise Monitor Development Platform - An Application for Wireless EMG Sensors

Amit Pal, Kevin Monsalvo, James Sunthonlap, Paolo Arguelles, Aldo Adame, Jackson Tu, Ellie Tjara, James Velasco, Terrence Sarmiento, Roxanna Pebdani, Christine Dy, Stefan Keslacy, Ray de Leon, Deborah Won

2018

Abstract

We present here a novel application for wireless EMG sensors. To combat the physical inactivity which has tended toward cardiovascular disease in individuals who use wheelchairs, we have developed a monitoring system to encourage these individuals to exercise. Wireless sensors are used to monitor kinematic or physiological metrics, which inform the user of their activity levels during exercise and to track progress of their fitness levels over time. In particular, a new completely wireless, wearable EMG sensor (Dynofit, Inc., TX) is integrated with accelerometer and heart rate sensor data to monitor energy expenditure. The sensors communicate with a custom designed mobile app which facilitates exercise at home, with the aim of helping individuals who use a wheelchair to overcome what are commonly hindrances to exercising.

Paper Citation

in Harvard Style

Pal A., Monsalvo K., Sunthonlap J., Arguelles P., Adame A., Tu J., Tjara E., Velasco J., Sarmiento T., Pebdani R., Dy C., Keslacy S., de Leon R. and Won D. (2018). Wheelchair Exercise Monitor Development Platform - An Application for Wireless EMG Sensors.In Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-284-4, pages 67-73. DOI: 10.5220/0006610000670073

in Bibtex Style

@conference{sensornets18,
author={Amit Pal and Kevin Monsalvo and James Sunthonlap and Paolo Arguelles and Aldo Adame and Jackson Tu and Ellie Tjara and James Velasco and Terrence Sarmiento and Roxanna Pebdani and Christine Dy and Stefan Keslacy and Ray de Leon and Deborah Won},
title={Wheelchair Exercise Monitor Development Platform - An Application for Wireless EMG Sensors},
booktitle={Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2018},
pages={67-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006610000670073},
isbn={978-989-758-284-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Wheelchair Exercise Monitor Development Platform - An Application for Wireless EMG Sensors
SN - 978-989-758-284-4
AU - Pal A.
AU - Monsalvo K.
AU - Sunthonlap J.
AU - Arguelles P.
AU - Adame A.
AU - Tu J.
AU - Tjara E.
AU - Velasco J.
AU - Sarmiento T.
AU - Pebdani R.
AU - Dy C.
AU - Keslacy S.
AU - de Leon R.
AU - Won D.
PY - 2018
SP - 67
EP - 73
DO - 10.5220/0006610000670073