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41 - Real-time activity energy expenditure estimation for embedded ambulatory systems using Sensium™ technologies

from Part VIII - Future perspectives

Published online by Cambridge University Press:  05 September 2015

By
Su-Shin Ang ,
Ksawery Wieczorkowski-Rettinger  and
Miguel Hernandez-Silveira
Edited by
Sandro Carrara  and
Krzysztof Iniewski
Su-Shin Ang
Affiliation:
Sensium Healthcare
Ksawery Wieczorkowski-Rettinger
Affiliation:
Sensium Healthcare
Miguel Hernandez-Silveira
Affiliation:
Toumaz Healthcare Ltd.
Sandro Carrara
Affiliation:
École Polytechnique Fédérale de Lausanne
Krzysztof Iniewski
Affiliation:
Redlen Technologies Inc., Canada
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Summary

Introduction

Lack of physical activity (PA) and exercise is a widespread and prevalent problem in the modern society. A study conducted by the US Department of Health in 2002 showed that the lack of PA is associated with a wide range of conditions including obesity, diabetes, heart disease, stroke, and osteoporosis [1]. In 2008, the World Health Organization reported that 11% of the world’s population (at 25+ years of age) was estimated to be suffering from diabetes [2], and diabetes care alone may account for up to 15% of national healthcare budgets [2]. These statistics reflects the negative economic impact to healthcare systems worldwide.

Physical activity intensity (PAI) and energy expenditure (PAEE) can be estimated from measurements of oxygen consumption using portable gas analyser systems. However, these indirect calorimeters are complex, bulky, heavy, obtrusive, and very expensive, and hence unsuitable for routine use. On the other hand, there is a large body of evidence (discussed later in this chapter) suggesting that PA activity intensity and energy expenditure can be estimated and continuously monitored using physiological and/or biomechanical information, owing to the relationship of these parameters with oxygen consumption during aerobic exercise [3–5]. In addition, recent advances in microelectronics have enabled the development of miniaturized integrated circuits, medical sensors and micro-engineered inertial sensors.

Type
Chapter
Information
Handbook of Bioelectronics
Directly Interfacing Electronics and Biological Systems
 , pp. 513 - 542
Publisher: Cambridge University Press
Print publication year: 2015

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