Real-time ECG and EMG analysis for biking using android-based mobile devices

  • Richer R
  • Blank P
  • Schuldhaus D
 et al. 
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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.

Author-supplied keywords

  • android application
  • biomedical signal analysis
  • electrocardiography
  • electromyography
  • training support
  • wearable body sensor networks

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  • Robert RicherFriedrich-Alexander-Universität Erlangen-Nürnberg

  • Peter Blank

  • Dominik Schuldhaus

  • Bjoern M. Eskofier

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