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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Richer, R. Maiwald, T. Pasluosta, C. Hensel, B. Eskofier, B.M. |
| Copyright Year | 2015 |
| Description | Author affiliation: Biomed. Eng., Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany (Maiwald, T.; Hensel, B.) || Dept. of Comput. Sci., Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany (Richer, R.; Pasluosta, C.; Eskofier, B.M.) |
| Abstract | This work presents a system for unobtrusive cardiac feedback in daily life. It addresses the whole pipeline from data acquisition over data processing to data visualization including wearable integration. ECG signals are recorded with a novel ECG sensor supporting Bluetooth Low Energy, which is able to transmit raw ECG data as well as estimated heart rate. ECG signals are processed in real-time on a mobile device to automatically classify the user's heart beats. A novel application for Android-based mobile devices was developed for data visualization. It offers several modes for cardiac feedback, from measuring the current heart rate to continuously monitoring the user's heart status. It also allows to store acquired data in an internal database as well as in the Google Fit platform. Further, the application provides extensions for wearables like Google Glass and smartwatches running on Android Wear. Hardware performance evaluation was performed by comparing the course of heart rate between the novel ECG sensor and a commercial ECG sensor. The mean absolute error between the two sensors was 4.83 bpm with a standard deviation of 4.46 bpm, and a Pearson correlation of 0.922. A qualitative evaluation was performed for the Android application with special emphasis on the daily usability and the wearable integration. When the Google Glass was integrated, the subjects rated the application as 2.8/5 (0 = Bad, 5 = Excellent), whereas when the application was integrated with a smartwatch the rating increased to 4.2/5. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 2615939 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467372015 |
| DOI | 10.1109/BSN.2015.7299363 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heart rate Google Android Application Body Sensor Networks Humanoid robots Glass Electrocardiography Wearable Computing Androids Biomedical monitoring Human Computer Interaction |
| Content Type | Text |
| Resource Type | Article |
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