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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Long Yan Harpe, P. Osawa, M. Harada, Y. Tamiya, K. Van Hoof, C. Yazicioglu, R.F. |
| Copyright Year | 2014 |
| Description | Author affiliation: imec, Heverlee, Belgium (Long Yan; Van Hoof, C.; Yazicioglu, R.F.) || Eindhoven Univ. of Technol., Eindhoven, Netherlands (Harpe, P.) || Olympus, Tokyo, Japan (Osawa, M.; Harada, Y.; Tamiya, K.) |
| Abstract | Ultra-low power consumption and miniature size are by far the most important design requirements for implantable pacemakers. In order to guarantee a long life span of the device, saving power in the sensing IC is a primary concern as cardiac rhythm disorders must be continuously monitored [1]. Shifting the functionality of QRS-band power parameter extraction to the analog domain can reduce system-level power consumption of heartbeat detection significantly through minimizing computational complexity of the DSP [2,3]. In addition, current biomedical ICs still require further improvement of power efficiency as their analog back ends consume significant power [2-4]. For low-power means, the presented analog signal processor (ASP) introduces a power-efficient analog feature extraction, a current-multiplexed ADC driver and a flexible ADC. This advances the state of the art by reducing the power consumption of the ASP below 1μW without compromising other specs, such as input SNR >70dB, CMRR >90dB, PSRR >80dB, and enables low-power heartbeat detection for implantable pacemakers. |
| Starting Page | 418 |
| Ending Page | 419 |
| File Size | 6184001 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479909186 |
| ISSN | 01936530 |
| e-ISBN | 9781479909209 |
| DOI | 10.1109/ISSCC.2014.6757495 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-02-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electronics packaging Feature extraction Electrocardiography Multiplexing Integrated circuits Noise Iron |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering |
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