Proceedings of the 2nd Conference on Wireless Health 2011
DOI: 10.1145/2077546.2077564
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An ECG patch combining a customized ultra-low-power ECG SoC with Bluetooth low energy for long term ambulatory monitoring

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Cited by 29 publications
(21 citation statements)
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“…It only needs one sensor node in small size and avoids the time synchronization between every sensor node. Although it is bigger in size than [9,10,13], the proposed system can detect more lead signals and supply more information for diagnosis.…”
Section: Discussion (A) Novel Limb Electrode Placementsmentioning
confidence: 99%
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“…It only needs one sensor node in small size and avoids the time synchronization between every sensor node. Although it is bigger in size than [9,10,13], the proposed system can detect more lead signals and supply more information for diagnosis.…”
Section: Discussion (A) Novel Limb Electrode Placementsmentioning
confidence: 99%
“…However, lots of efforts need to be paid on the time synchronization. Single-pad ECG systems were also published by [8][9][10] (Fig. 1f).…”
Section: Introductionmentioning
confidence: 99%
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“…The proposed solution is composed by two hardware components, imec's Health patch [3] and an iPhone. imec's Health patch was configured to acquire 128 Hz ECG and 32 Hz ACC, extract R-R intervals, and send HR and ACC via Bluetooth Low Energy.…”
Section: System Architecturementioning
confidence: 99%
“…This resulted in a wide adoption of Bluetooth for the wearable nodes, even with its limitations in terms of number of devices and high power consumption. The recent development of the Bluetooth 4.0 standard (also called Bluetooth Low Energy or BLE) was directly targeted to increase the energy efficiency and device connectivity of such protocol, with positive impact for wearable devices and BSNs for both consumer and medical applications [10]. However, it is not compatible with previous versions of the standard, having different stack layers and data exchange protocols and its low energy optimized profiles result in a reduced data rate.…”
Section: Introductionmentioning
confidence: 99%