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Healthcare-Oriented Characterisation of Human Movements by Means of Impulse-Radar Sensors and by Means of Accelerometric Sensors

Topics: Design and Development of Methodologies for Healthcare IT; Development of Assistive Technology; Evaluation and Use of Healthcare IT; ICT, Ageing and Disability; Practice-based Research Methods for Healthcare IT

Authors: Paweł Mazurek 1 ; Jakub Wagner 1 ; Andrzej Miękina 1 ; Roman Z. Morawski 1 and Frode Fadnes Jacobsen 2

Affiliations: 1 Faculty of Electronics and Information Technology and Warsaw University of Technology, Poland ; 2 Bergen University College, Norway

ISBN: 978-989-758-213-4

Keyword(s): Healthcare, Impulse-Radar Sensor, Accelerometer, Measurement Data Processing, Uncertainty Estimation.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Development of Assistive Technology ; Evaluation and Use of Healthcare IT ; Health Information Systems ; ICT, Ageing and Disability ; Practice-based Research Methods for Healthcare IT

Abstract: This paper is devoted to the healthcare-oriented characterisation of the human movements by means of the accelerometric and impulse-radar sensors – the sensors that may be employed in care services for monitoring of elderly and disabled persons. Characterisation of the movements in terms of the so-called self-selected walking velocity can be used by the medical and healthcare personnel to assess the overall health status of a monitored person. The quality of the characterisation, based on the measurement data from accelerometric and impulse-radar sensors, has been assessed in a series of real-world experiments which involved the estimation of the instantaneous and mean walking velocity of a person moving according to predefined patterns. Some indicators of uncertainty of the velocity estimation, determined with respect to assumed predefined velocity values, have been used for comparison of the performance of both types of sensors. The experiments have shown that impulse-radar sensors enable one to estimate the mean walking velocity more accurately than the accelerometric sensors: the estimates obtained on the basis of data from the latter sensors are affected by larger bias and are more widely spread around their mean values. (More)

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Paper citation in several formats:
Mazurek P., Wagner J., Miękina A., Morawski R. and Jacobsen F. (2017). Healthcare-Oriented Characterisation of Human Movements by Means of Impulse-Radar Sensors and by Means of Accelerometric Sensors.In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 128-138. DOI: 10.5220/0006154201280138

@conference{healthinf17,
author={Paweł Mazurek and Jakub Wagner and Andrzej Miękina and Roman Z. Morawski and Frode Fadnes Jacobsen},
title={Healthcare-Oriented Characterisation of Human Movements by Means of Impulse-Radar Sensors and by Means of Accelerometric Sensors},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)},
year={2017},
pages={128-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006154201280138},
isbn={978-989-758-213-4},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)
TI - Healthcare-Oriented Characterisation of Human Movements by Means of Impulse-Radar Sensors and by Means of Accelerometric Sensors
SN - 978-989-758-213-4
AU - Mazurek P.
AU - Wagner J.
AU - Miękina A.
AU - Morawski R.
AU - Jacobsen F.
PY - 2017
SP - 128
EP - 138
DO - 10.5220/0006154201280138

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