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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Xie Geng Yang Mantysalo, M. Jonsson, F. Li-Rong Zheng |
| Copyright Year | 2012 |
| Description | Author affiliation: iPack Vinn Excellence Center, R. Inst. of Technol. (KTH), Kista, Sweden (Li Xie; Geng Yang; Jonsson, F.; Li-Rong Zheng) || Dept. of Electron., Tampere Univ. of Technol., Tampere, Finland (Mantysalo, M.) |
| Abstract | This paper presents a hybrid wearable bio-sensing system, which combines traditional small-area low-power and high-performance System-on-Chip (SoC), flexible paper substrate and cost-effective Printed Electronics. Differential bio-signals are measured, digitized, stored and transmitted by the SoC. The total area of the chip is 1.5 × 3.0 $mm^{2}.$ This enables the miniaturization of the wearable system. The electrodes and interconnects are inkjet printed on paper substrate and the performance is verified in in-vivo tests. The quality of electrocardiogram signal sensed by printed electrodes is comparable with commercial electrodes, with noise level slightly increased. The paper-based inkjet printed system is flexible, light and thin, which makes the final system comfortable for end-users. The hybrid bio-sensing system offers a potential solution to the next generation wearable healthcare technology. |
| Sponsorship | IEEE Eng. Medicine Biol. Soc. |
| Starting Page | 5026 |
| Ending Page | 5029 |
| File Size | 1055247 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441198 |
| ISSN | 1557170X |
| e-ISBN | 9781457717871 |
| DOI | 10.1109/EMBC.2012.6347122 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrodes Electrocardiography System-on-a-chip Integrated circuit interconnections Biomedical monitoring Noise Immune system |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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