| Document Date: 2015-03-03 05:06:46
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City Eindhoven / Leuven / New York / / Company W 60 nV / Texas Instruments / Portable Biopotential Acquisition Systems / Analog Devices / Nordic Semiconductor / / Country Belgium / United States / Netherlands / / Currency pence / / / Facility High Tech Campus / / IndustryTerm wearable systems / seizure detection algorithm / Wireless Health / data processing / light-weight communication protocol / motion artifact reduction algorithms / epilepsy monitoring equipment / real time / electronics / communication protocol / post-processing / concept applications / respiration algorithm / real-time / detection algorithm / low-power micro-electronics / wireless transmission / local processing / radio protocol / beat detection algorithm / / Organization ASIC / MIT / Holst Centre / / Person C. Van Hoof / T. Lopetegi / F. Yazicioglu / I. Romero / J. Penders / B. Grundlehner / A. Sobron / / / Position cardiologist / Corresponding author / / ProvinceOrState New York / / Technology ECGbased seizure detection algorithm / radio protocol / RAM / ASIC / light-weight communication protocol / respiration algorithm / EDR algorithms / ECG-derived respiration algorithm / communication protocol / beat detection algorithm / EPILEPTIC SEIZURE DETECTION USING ECG NECKLACE WITH EMBEDDED ALGORITHM / TDMA / C. Embedded ECG-derived respiration algorithm / detection algorithm / motion artifact reduction algorithms / /
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A low-power wireless ECG necklace for reliable cardiac activity monitoring on-the-move J. Penders, M. Altini, J. van de Molengraft, I. Romero, F. Yazicioglu and C. Van Hoof Abstract—This paper presents a low-power wire