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Increasingly the analysis of a patient’s physiological state requires long-term monitoring, during day to day activities, in order to precise a diagnosis or to evaluate the efficacy of an on-going treatment. Although wearable sensors can significantly benefit mankind in this long-term monitoring process, today’s solutions invade the user’s normal life as sensing platforms require removal, replacement and reconfiguration for battery recharging. Moreover, they are often too large, user-unfriendly and difficult to interpret their results. [read on]
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Phase and Frequency Self-configurable Efficient Low Voltage Harvester for Zero Power Wearable DevicesM. Ataei, A. Boegli, P. A. Farine European Solid-State Circuits Conference (ESSCIRC)A Wearable Device For Physical and Emotional Health MonitoringSrinivasan Murali, Francisco Rincon, David Atienza Computing in Cardiology 2015, Nice, France, 2015Energy-Aware Embedded Classifier Design for Real-Time Emotion AnalysisManoj Padmanabhan, Srinivasan Murali, Francisco Rincon and David Atienza IEEE Annual International Conference of the Engineering in Medicine and Biology Society (EMBC 2015), Milan, Italy, 2015Online Energy-Efficient Task-Graph Scheduling for Multicore PlatformsKarim Kanoun, Nicholas Mastronarde, David Atienza and Mihaela van der Schaar [more] |
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EEG Oscillations in the aging brainElham Barzegaran, Maria G. KnyazevaWearable System for Real-Time Emotion AnalysisFabio Dell'Agnola, Francisco Rincon, David AtienzaTriboelectric Generators for Harvesting Energy from Body MovementsRubaiyet Iftekharul Haque, Etienne Lemaire, Christopher J. Borsa, Pierre-André Farine, Danick BriandEnergy-Aware Software for Wearable Medical SensorsIvana Unkovic, Stephan Koster, Dennis Majoe, Thomas Gross [more] |
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Flexible On-Body Piezoelectric Energy Harvesting Christopher Borsa, Pierre-André Farine, Danick Briand,
An Energy-Aware Runtime for Wearable Smart Medical Sensors Ivana Unkovic, Dennis Majoe, Thomas Gross, Jürg Gutknecht
Comparison of lagged partial coherence fields based on high- and low-density EEG Elham Barzegaran, Cristian Carmeli, Maria G. Knyazeva
Design of Integrated Circuits for Ultra-low Power Energy Harvesters Milad Ataei, Christian Robert, Alexis Boegli, Pierre-André Farine
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BodyPowerSenSE P.-A. Farine, D. Atienza, D. Briand, J. Gutknecht, C. Hierold, M. Knyazeva, G. Wohlrab, D. Majoe, A. Boegli
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