Literature DB >> 17272183

A new portable device for ambulatory monitoring of human posture and walking velocity using miniature accelerometers and gyroscope.

S Tanaka1, K Motoi, M Nogawa, K Yamakoshi.   

Abstract

Measurement of physical activity is one of the key subjects in the field of ambulatory cardiovascular monitoring using such as Holter ECG and so called "ambulatory blood pressure monitor (ABPM)". Rehabilitation and gerontology will also be another fields for the application of the activity monitor. From this point of view, we have developed a portable device for monitoring human posture and walking velocity in ambulatory subjects. In this paper are described, a new sensor system for this purpose using three accelerometers and one gyroscope, its availability for the accurate measurement of human posture and walking velocity, and results of preliminary study using a prototype system for ambulatory monitoring.

Entities:  

Year:  2004        PMID: 17272183     DOI: 10.1109/IEMBS.2004.1403663

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Adaptive motion artifacts reduction using 3-axis accelerometer in e-textile ECG measurement system.

Authors:  Sung Won Yoon; Se Dong Min; Yong Hyeon Yun; Seungpyo Lee; Myoungho Lee
Journal:  J Med Syst       Date:  2008-04       Impact factor: 4.460

Review 2.  Inertial sensor-based methods in walking speed estimation: a systematic review.

Authors:  Shuozhi Yang; Qingguo Li
Journal:  Sensors (Basel)       Date:  2012-05-10       Impact factor: 3.576

Review 3.  An Engineering Perspective of External Cardiac Loop Recorder: A Systematic Review.

Authors:  Avvaru Srinivasulu; N Sriraam
Journal:  J Med Eng       Date:  2016-10-31

4.  A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis.

Authors:  Ryan S McGinnis; Nikhil Mahadevan; Yaejin Moon; Kirsten Seagers; Nirav Sheth; John A Wright; Steven DiCristofaro; Ikaro Silva; Elise Jortberg; Melissa Ceruolo; Jesus A Pindado; Jacob Sosnoff; Roozbeh Ghaffari; Shyamal Patel
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

5.  Application of Machine Learning to Predict Trajectory of the Center of Pressure (COP) Path of Postural Sway Using a Triaxial Inertial Sensor.

Authors:  Kittichai Wantanajittikul; Chakrit Wiboonsuntharangkoon; Busaba Chuatrakoon; Siriphan Kongsawasdi
Journal:  ScientificWorldJournal       Date:  2022-06-22
  5 in total

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