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Methods for reliable estimation of pulse transit time and blood pressure variations using smartphone sensors.

, , , and . Microprocess. Microsystems, (2016)

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Design exploration of energy-performance trade-offs for wireless sensor networks., , , , , and . DAC, page 1043-1048. ACM, (2012)A multi-lead ECG classification based on random projection features., , and . ICASSP, page 625-628. IEEE, (2012)Estimation of Blood Pressure and Pulse Transit Time Using Your Smartphone., , , and . DSD, page 173-180. IEEE Computer Society, (2015)Touch-based system for beat-to-beat impedance cardiogram acquisition and hemodynamic parameters estimation., , , and . DATE, page 726-731. IEEE, (2016)Embedded real-time ECG delineation methods: A comparative evaluation., , , and . BIBE, page 99-104. IEEE Computer Society, (2012)Low-Power Wearable System for Real-Time Screening of Obstructive Sleep Apnea., , , and . ISVLSI, page 230-235. IEEE Computer Society, (2016)Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors., , , , and . IEEE Trans. Biomed. Circuits Syst., 12 (4): 762-773 (2018)Energy-aware embedded classifier design for real-time emotion analysis., , , and . EMBC, page 2275-2278. IEEE, (2015)Implementation of an Automated ECG-based Diagnosis Algorithm for a Wireless Body Sensor Plataform., , , , , , , , and . BIODEVICES, page 88-96. INSTICC Press, (2009)Design of ultra-low-power smart wearable systems., , , and . LATS, page 1-2. IEEE Computer Society, (2015)