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Adaptive Sensor Data Compression in IoT systems: Sensor data analytics based approach., , , and . ICASSP, page 5515-5519. IEEE, (2015)Noise cleaning and Gaussian modeling of smart phone photoplethysmogram to improve blood pressure estimation., , , , and . ICASSP, page 967-971. IEEE, (2015)Estimation of blood pressure levels from reflective Photoplethysmograph using smart phones., , and . BIBE, page 1-5. IEEE Computer Society, (2013)Human-Like Sensing for Robotic Remote Inspection and Analytics., , , and . Wireless Personal Communications, 88 (1): 23-38 (2016)IoT Data Compression: Sensor-Agnostic Approach., , and . DCC, page 303-312. IEEE, (2015)Signal Characteristics on Sensor Data Compression in IoT - An Investigation., , , , and . SECON Workshops, page 1-6. IEEE, (2016)A Novel Approach to Unify Robotics, Sensors, and Cloud Computing Through IoT for a Smarter Healthcare Solution for Routine Checks and Fighting Epidemics., , , , , , and . IoT 360 (1), volume 169 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 536-542. (2015)Effects of fingertip orientation and flash location in smartphone Photoplethysmography., , , , and . ICACCI, page 468-471. IEEE, (2014)Towards Democratizing E-health Under Constrained ICT Infrastructure Through 'A- REaLiST' Solution., , , and . EuCNC, page 533-538. IEEE, (2019)iCarMa: Inexpensive Cardiac Arrhythmia Management - An IoT Healthcare Analytics Solution., , , , , and . IoTofHealth@MobiSys, page 3-8. ACM, (2016)