A 11.3-µA Physical Activity Monitoring System Using Acceleration and Heart Rate

[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.