Wearable Medical Systems for p-Health

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong
IEEE Reviews in Biomedical Engineering 02/2008; 1:62 - 74. DOI: 10.1109/RBME.2008.2008248
Source: IEEE Xplore

ABSTRACT Driven by the growing aging population, prevalence of chronic diseases, and continuously rising healthcare costs, the healthcare system is undergoing a fundamental transformation, from the conventional hospital-centered system to an individual-centered system. Current and emerging developments in wearable medical systems will have a radical impact on this paradigm shift. Advances in wearable medical systems will enable the accessibility and affordability of healthcare, so that physiological conditions can be monitored not only at sporadic snapshots but also continuously for extended periods of time, making early disease detection and timely response to health threats possible. This paper reviews recent developments in the area of wearable medical systems for p-Health. Enabling technologies for continuous and noninvasive measurements of vital signs and biochemical variables, advances in intelligent biomedical clothing and body area networks, approaches for motion artifact reduction, strategies for wearable energy harvesting, and the establishment of standard protocols for the evaluation of wearable medical devices are presented in this paper with examples of clinical applications of these technologies.

Download full-text


Available from: Paolo Bonato, Sep 29, 2015
506 Reads
    • "Recently, scientific and technological advances have offered new solutions to detect and record physiological signals (i.e., heart rate, respiration, physical activity, temperature, blood oxygen saturation) based on wearable garments with integrated sensors (Paradiso et al. 2005b; Rumo et al. 2011; Chan et al. 2012; Di Rienzo et al. 2005; Di Rienzo et al. 2010; Lymberis and Paradiso 2008; Paradiso et al. 2005a; Scilingo et al. 2005; Seoane et al. 2014; Teng et al. 2008; Lymberis and Dittmar 2007; Huang et al. 2008).These wearable systems are promising tools to monitor an individual's health, but implementation is challenged by the lack of evidence on validity and reliability . Data assessing variability (coefficient of variation), agreement (Bland-Altman plots) and consistency (intra-class correlation) are generally lacking to support the validity and reliability of wearable devices. "
    [Show abstract] [Hide abstract]
    ABSTRACT: We tested the validity of the Hexoskin wearable vest to monitor heart rate (HR), breathing rate (BR), tidal volume (VT), minute ventilation, and hip motion intensity (HMI) in comparison with laboratory standard devices during lying, sitting, standing, and walking. Twenty healthy young volunteers participated in this study. First, participants walked 6 min on a treadmill at speeds of 1, 3, and 4.5 km/h followed by increasing treadmill grades until 80% of their predicted maximal heart rate. Second, lying, sitting, and standing tasks were performed (5 min each) followed by 6 min of treadmill walking at 80% of their ventilatory threshold. Analysis of each individual's mean values under each resting or exercise condition by the 2 measurement systems revealed low coefficient of variation and high intraclass correlation values for HR, BR, and HMI. The Bland-Altman results from HR, BR, and HMI indicated no deviation of the mean value from zero and relatively small variability about the mean. VT and minute ventilation were provided in arbitrary units by the Hexoskin device; however, relative magnitude of change from Hexoskin closely tracked the laboratory standard method. Hexoskin presented low variability, good agreement, and consistency. The Hexoskin wearable vest was a valid and consistent tool to monitor activities typical of daily living such as different body positions (lying, sitting, and standing) and various walking speeds.
    Applied Physiology Nutrition and Metabolism 06/2015; DOI:10.1139/apnm-2015-0140 · 2.34 Impact Factor
  • Source
    • "All the measured physiological data are collected by a microcontroller to process and analyze. Based on the processed data the central controller may either generate a warning message to the caregiver based on the current physiological situation of the person being monitored and/or may help to detect early disease and any possible health threat [19]. III. "
    [Show abstract] [Hide abstract]
    ABSTRACT: An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart systems to monitor activities of human beings continuously. Wearable sensors detect abnormal and/or unforeseen situations by monitoring physiological parameters along with other symptoms. Therefore, necessary help can be provided in times of dire need. This paper reviews the latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges.
    IEEE Sensors Journal 03/2015; 15(3):1321-1330. DOI:10.1109/JSEN.2014.2370945 · 1.76 Impact Factor
  • Source
    • "Digital Object Identifier 10.1109/JSYST.2013.2260653 as channel-adaptive transmission [3] and energy harvesting [4]. However, it has already been identified that solutions considering a single layer from the protocol stack can only yield limited gains [5]. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Cloud-based communications system is now widely used in many application fields such as medicine, security, environment protection, etc. Its use is being extended to the most demanding services like multimedia delivery. However, there are a lot of constraints when cloud-based sensor networks use the standard IEEE 802.15.3 or IEEE 802.15.4 technologies. This paper proposes a channel characterization scheme combined to a cross-layer admission control in dynamic cloud-based multimedia sensor networks to share the network resources among any two nodes. The analysis shows the behavior of two nodes using different network access technologies and the channel effects for each technology. Moreover, the existence of optimal node arrival rates in order to improve the usage of dynamic admission control when network resources are used is also shown. An extensive simulation study was performed to evaluate and validate the efficiency of the proposed dynamic admission control for cloud-based multimedia sensor networks.
    IEEE Systems Journal 03/2014; 8(1):235-246. DOI:10.1109/JSYST.2013.2260653 · 1.98 Impact Factor
Show more