A 11.3-µA Physical Activity Monitoring System Using Acceleration and Heart Rate
暂无分享,去创建一个
Shintaro Izumi | Masahiko Yoshimoto | Hiroshi Kawaguchi | Mio Tsukahara | Motofumi Nakanishi | Hiromitsu Kimura | Kyoji Marumoto | Takaaki Fuchikami | Yoshikazu Fujimori | H. Kawaguchi | M. Yoshimoto | S. Izumi | H. Kimura | K. Marumoto | T. Fuchikami | Y. Fujimori | Motofumi Nakanishi | Mio Tsukahara
[1] Shintaro Izumi,et al. A 15-μA metabolic equivalents monitoring system using adaptive acceleration sampling and normally off computing , 2016, 2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS).
[2] H. Kawaguchi,et al. Low-power metabolic equivalents estimation algorithm using adaptive acceleration sampling. , 2016, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
[3] Shintaro Izumi,et al. Physical activity group classification algorithm using triaxial acceleration and heart rate , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[4] Mathieu Lemay,et al. Physical activity profiling: Activity-specific step counting and energy expenditure models using 3D wrist acceleration , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[5] Christopher J. James,et al. Characterization of wrist-wearable activity measurement using whole body calorimetry in semi-free living conditions , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[6] Hiroshi Nakajima,et al. Normally Off ECG SoC With Non-Volatile MCU and Noise Tolerant Heartbeat Detector , 2015, IEEE Transactions on Biomedical Circuits and Systems.
[7] Ravi Narasimhan,et al. Wireless patch sensor for remote monitoring of heart rate, respiration, activity, and falls , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[8] D. Bassett,et al. Calibration and validation of wearable monitors. , 2012, Medicine and science in sports and exercise.
[9] Gert Cauwenberghs,et al. OLAM: A wearable, non-contact sensor for continuous heart-rate and activity monitoring , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[10] Y. Oshima,et al. Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm. , 2011, The British journal of nutrition.
[11] Tae-Seong Kim,et al. A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer , 2010, IEEE Transactions on Information Technology in Biomedicine.
[12] Y. Oshima,et al. Classifying household and locomotive activities using a triaxial accelerometer. , 2010, Gait & posture.
[13] Charles E Matthew,et al. Calibration of accelerometer output for adults. , 2005, Medicine and science in sports and exercise.
[14] B E Ainsworth,et al. Validity of four motion sensors in measuring moderate intensity physical activity. , 2000, Medicine and science in sports and exercise.
[15] S. Blair,et al. A comparative evaluation of three accelerometry-based physical activity monitors. , 2000, Medicine and science in sports and exercise.
[16] D A Boone,et al. Step activity monitor: long-term, continuous recording of ambulatory function. , 1999, Journal of rehabilitation research and development.