Conference contribution
(Conference Contribution)


Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices


Publication Details
Author(s): Richer R, Blank P, Schuldhaus D, Eskofier B
Title edited volumes: Proceedings - 11th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2014
Publication year: 2014
Conference Proceedings Title: 2014 IEEE 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Pages range: 104-108

Event details
Event: 2014 IEEE 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Event location: Zürich
Start date of the event: 16/06/2014
End date of the event: 19/06/2014
Language: English

Abstract

We developed an application for Android-based mobile devices that enables a real-time calculation of heart rate and cadence for biking. Therefore, both ECG and EMG data are acquired in real time by Shimmer sensors and transmitted via Bluetooth, as well as processed and evaluated on the mobile device. The ECG algorithm is based on the Pan-Tompkins algorithm for QRS-Detection and offers a heart beat detection rate of more than 94%. The EMG algorithm offers a treadle detection rate of more than 91%. The application's range of features is complemented by GPS data for the calculation of speed and location information. It is available for download and can for example be used for controlling the user's training status, for live training supervision and for the subsequent analysis of the various training runs.



How to cite
APA: Richer, R., Blank, P., Schuldhaus, D., & Eskofier, B. (2014). Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices. In 2014 IEEE 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (pp. 104-108). Zürich, CH.

MLA: Richer, Robert, et al. "Real-Time ECG and EMG Analysis for Biking Using Android-Based Mobile Devices." Proceedings of the 2014 IEEE 11th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Zürich 2014. 104-108.

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