Real-time ECG and EMG Analysis for Biking using Android-based Mobile Devices

被引：9
|
作者：
Richer, Robert [1 ]
Blank, Peter [1 ]
Schuldhaus, Dominik [1 ]
Eskofier, Bjoern M. [1 ]
机构：
[1] Univ Erlangen Nurnberg, Dept Comp Sci, Pattern Recognit Lab, Digital Sports Grp, D-91054 Erlangen, Germany
来源：
2014 11TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN) | 2014年
关键词：
biomedical signal analysis; electrocardiography; electromyography; wearable body sensor networks; android application; training support;
D O I：
10.1109/BSN.2014.20
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We developed an application for Android (TM)-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 (TM) sensors and transmitted via Bluetooth (TM), 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.
引用
收藏
页码：104 / 108
页数：5
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