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      Synchronous Wearable Wireless Body Sensor Network Composed of Autonomous Textile Nodes

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          Abstract

          A novel, fully-autonomous, wearable, wireless sensor network is presented, where each flexible textile node performs cooperative synchronous acquisition and distributed event detection. Computationally efficient situational-awareness algorithms are implemented on the low-power microcontroller present on each flexible node. The detected events are wirelessly transmitted to a base station, directly, as well as forwarded by other on-body nodes. For each node, a dual-polarized textile patch antenna serves as a platform for the flexible electronic circuitry. Therefore, the system is particularly suitable for comfortable and unobtrusive integration into garments. In the meantime, polarization diversity can be exploited to improve the reliability and energy-efficiency of the wireless transmission. Extensive experiments in realistic conditions have demonstrated that this new autonomous, body-centric, textile-antenna, wireless sensor network is able to correctly detect different operating conditions of a firefighter during an intervention. By relying on four network nodes integrated into the protective garment, this functionality is implemented locally, on the body, and in real time. In addition, the received sensor data are reliably transferred to a central access point at the command post, for more detailed and more comprehensive real-time visualization. This information provides coordinators and commanders with situational awareness of the entire rescue operation. A statistical analysis of measured on-body node-to-node, as well as off-body person-to-person channels is included, confirming the reliability of the communication system.

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          Most cited references50

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          Walking stability using harmonic ratios in Parkinson's disease.

          Kinematic changes in Parkinson's disease (PD) gait are well documented; however, upper body dynamics are less understood. Harmonic ratios (HRs) measure the rhythm of trunk accelerations and can be examined in the vertical, anterior-posterior, and mediolateral planes, providing an indication of global walking stability (lower HR indicates poorer stability). We examined differences in HRs between persons with PD and healthy older adults and relationships between HRs and stride parameters. Eleven people with PD and 11 older adults walked over ground at their preferred pace. A triaxial accelerometer measured trunk accelerations. HRs and spatiotemporal parameters were calculated and standardized to remove the influence of gait velocity. The PD group exhibited lower HRs in all three planes, with the most pronounced differences in the mediolateral and anterior-posterior planes. Greater stride time variability was most closely associated with a lower anterior-posterior HR in PD and the presence of disease with the mediolateral HR. By demonstrating decreased walking stability in medial-lateral and anterior-posterior planes, we conclude that HRs offer unique information beyond that of typical stride parameters, and stride time variability is most closely associated with these direct measures of global walking stability.
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            Smart garments for emergency operators: the ProeTEX project.

            Financed by the European Commission, a consortium of 23 European partners, consisting of universities, research institutions, industries, and organizations operating in the field of emergency management, is developing a new generation of "smart" garments for emergency-disaster personnel. Garments integrate newly developed wearable and textile solutions, such as commercial portable sensors and devices, in order to continuously monitor risks endangering rescuers' lives. The system enables detection of health-state parameters of the users (heart rate, breathing rate, body temperature, blood oxygen saturation, position, activity, and posture) and environmental variables (external temperature, presence of toxic gases, and heat flux passing through the garments), to process data and remotely transmit useful information to the operation manager. The European-integrated project, called ProeTEX (Protection e-Textiles: Micro-Nano-Structured fiber systems for Emergency-Disaster Wear) started on February, 2006 and will end on July, 2010. During this 4.5 years period, three subsequent generations of sensorized garments are being released. This paper proposes an overview of the project and gives a description of the second-generation prototypes, delivered at the end of 2008.
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              A comprehensive assessment of gait accelerometry signals in time, frequency and time-frequency domains.

              Gait accelerometry is a promising tool to assess human walking and reveal deteriorating gait characteristics in patients and can be a rich source of clinically relevant information about functional declines in older adults. Therefore, in this paper, we present a comprehensive set of signal features that may be used to extract clinically valuable information from gait accelerometry signals. To achieve our goal, we collected tri-axial gait accelerometry signals from 35 adults 65 years of age and older. Fourteen subjects were healthy controls, 10 participants were diagnosed with Parkinson's disease, and 11 participants were diagnosed with peripheral neuropathy. The data were collected while the participants walked on a treadmill at a preferred walking speed. Accelerometer signal features in time, frequency and time-frequency domains were extracted. The results of our analysis showed that some of the extracted features were able to differentiate between healthy and clinical populations. Signal features in all three domains were able to emphasize variability among different groups, and also revealed valuable information about variability of the signals between anterior-posterior, mediolateral, and vertical directions within subjects. The current results imply that the proposed signal features can be valuable tools for the analysis of gait accelerometry data and should be utilized in future studies.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                October 2014
                09 October 2014
                : 14
                : 10
                : 18583-18610
                Affiliations
                [1 ] Department of Information Technology (INTEC), Ghent University, St. Pietersnieuwstraat 41, 9000 Ghent, Belgium; E-Mails: patrick.vantorre@ 123456ugent.be (P.V.T.); hendrik.rogier@ 123456ugent.be (H.R.)
                [2 ] Department of Industrial System and Product Design (ISP), Ghent University, Graaf Karel de Goedelaan 5, 8500 Kortrijk, Belgium; E-Mails: christiaan.stevens@ 123456ugent.be (C.S.); Jos.Knockaert@ 123456UGent.be (J.K.)
                [3 ] Department of Industrial Technology and Construction (IT&C), Ghent University, Valentin Vaerwyckweg 1, 9000 Ghent, Belgium
                Author notes

                External Editor: Vittorio M.N. Passaro

                [* ] Author to whom correspondence should be addressed; E-Mail: peter.vanveerdeghem@ 123456ugent.be ; Tel.: +32-9-264-3316; Fax: +32-9-264-3593.
                Article
                sensors-14-18583
                10.3390/s141018583
                4239931
                25302808
                6186e328-7eef-4cce-88a8-1dcafff4c1ae
                © 2014 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 July 2014
                : 25 August 2014
                : 29 September 2014
                Categories
                Article

                Biomedical engineering
                wireless sensors,body-centric,diversity,ism band,textile antennas,situational awareness,event detection

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