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A Wireless Body Sensor Network for Activity Monitoring with Low Transmission Overhead.

, , , , and . EUC, page 265-272. IEEE Computer Society, (2014)

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Synchronizing code execution on ultra-low-power embedded multi-channel signal analysis platforms., , , , , and . DATE, page 396-399. EDA Consortium San Jose, CA, USA / ACM DL, (2013)Live demonstration: ECG sensor interface in a low power SoC for wireless portable ECG monitoring., , , , , , and . BioCAS, page 187. IEEE, (2014)A Wireless Body Sensor Network for Activity Monitoring with Low Transmission Overhead., , , , and . EUC, page 265-272. IEEE Computer Society, (2014)Hardware/software approach for code synchronization in low-power multi-core sensor nodes., , , , and . DATE, page 1-6. European Design and Automation Association, (2014)A multi-core reconfigurable architecture for ultra-low power bio-signal analysis., , , , , and . BioCAS, page 416-419. IEEE, (2016)Embedded real-time ECG delineation methods: A comparative evaluation., , , and . BIBE, page 99-104. IEEE Computer Society, (2012)HEAL-WEAR: An Ultra-Low Power Heterogeneous System for Bio-Signal Analysis., , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 64-I (9): 2448-2461 (2017)A methodology for embedded classification of heartbeats using random projections., , and . DATE, page 899-904. EDA Consortium San Jose, CA, USA / ACM DL, (2013)Ultra-Low Power Design of Wearable Cardiac Monitoring Systems., , , , , , and . DAC, page 17:1-17:6. ACM, (2014)Nano-engineered architectures for ultra-low power wireless body sensor nodes., , , , , , and . CODES+ISSS, page 23:1-23:10. ACM, (2016)