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Estimating Energy Expenditure Using Body-Worn Accelerometers: A Comparison of Methods, Sensors Number and Positioning.

, , , and . IEEE J. Biomed. Health Informatics, 19 (1): 219-226 (2015)

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Motion artifact reduction in ambulatory ECG monitoring: an integrated system approach., , , , , , , , , and . Wireless Health, page 11. ACM, (2011)Body weight-normalized Energy Expenditure estimation using combined activity and allometric scaling clustering., , and . EMBC, page 6752-6755. IEEE, (2013)Personalizing energy expenditure estimation using a cardiorespiratory fitness predicate., , and . PervasiveHealth, page 65-72. IEEE, (2013)Cardiorespiratory fitness estimation in free-living using wearable sensors., , , and . Artif. Intell. Medicine, (2016)Addressing the healthcare cost dilemma by managing health instead of managing illness: an opportunity for wearable wireless sensors., and . DATE, page 1537-1539. EDA Consortium San Jose, CA, USA / ACM DL, (2013)A Lightweight Security Scheme for Wireless Body Area Networks: Design, Energy Evaluation and Proposed Microprocessor Design., , , , , , , , , and 1 other author(s). J. Medical Systems, 35 (5): 1289-1298 (2011)Combining wearable accelerometer and physiological data for activity and energy expenditure estimation., , , and . Wireless Health, page 1:1-1:8. ACM, (2013)An ECG patch combining a customized ultra-low-power ECG SoC with Bluetooth low energy for long term ambulatory monitoring., , , , , , and . Wireless Health, page 15. ACM, (2011)Human++: Key Challenges and Trade-offs in Embedded System Design for Personal Health Care., , , , , , and . DSD, page 4-10. IEEE Computer Society, (2011)Detection of fetal kicks using body-worn accelerometers during pregnancy: Trade-offs between sensors number and positioning., , , , , , , and . EMBC, page 5319-5322. IEEE, (2016)