Preliminary development of a wearable device for dynamic pressure measurement in garments

McLaren, Jason; Helmer, Richard; Horne, Susan; Blanchonette, Ian

doi:10.1016/j.proeng.2010.04.108

Cited by 27 publications

(14 citation statements)

References 11 publications

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“…The second test we performed was a fatigue test until conductor rupture of both (i) a single interconnect, as well as (ii) a sensor module integrated between two interconnects, which can be used to evaluate the reliability and lifetime of the serpentine interconnects. Most garment distortions happen due to the active movements of the upper body, such as shoulder movements, arm extension, and elbow diameter change 46,50 . According to Hatch, the typical stretchability range of textiles for a tailored garment is 15-25%, for sportswear is 20-35%, and for a form-fit compression garment is between 30-40% 51,52 .…”

Section: Discussionmentioning

confidence: 99%

“…By performing mechanical characterization on the base fabric, we can evaluate the fabric rigidity and model the pressure of elastic fabric around the upper limb region of the human body. These modeled values were also cross-validated with a high-accuracy compression fabric subbandage pressure monitor (Kikuhime, TT Meditrade) 46 , as illustrated in Supplementary Fig. 10.…”

Section: Development Of Personalized E-tecsmentioning

confidence: 99%

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A tailored, electronic textile conformable suit for large-scale spatiotemporal physiological sensing in vivo

et al. 2020

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The rapid advancement of electronic devices and fabrication technologies has further promoted the field of wearables and smart textiles. However, most of the current efforts in textile electronics focus on a single modality and cover a small area. Here, we have developed a tailored, electronic textile conformable suit (E-TeCS) to perform large-scale, multimodal physiological (temperature, heart rate, and respiration) sensing in vivo. This platform can be customized for various forms, sizes and functions using standard, accessible and high-throughput textile manufacturing and garment patterning techniques. Similar to a compression shirt, the soft and stretchable nature of the tailored E-TeCS allows intimate contact between electronics and the skin with a pressure value of around~25 mmHg, allowing for physical comfort and improved precision of sensor readings on skin. The E-TeCS can detect skin temperature with an accuracy of 0.1°C and a precision of 0.01°C, as well as heart rate and respiration with a precision of 0.0012 m/ s 2 through mechano-acoustic inertial sensing. The knit textile electronics can be stretched up to 30% under 1000 cycles of stretching without significant degradation in mechanical and electrical performance. Experimental and theoretical investigations are conducted for each sensor modality along with performing the robustness of sensor-interconnects, washability, and breathability of the suit. Collective results suggest that our E-TeCS can simultaneously and wirelessly monitor 30 skin temperature nodes across the human body over an area of 1500 cm 2 , during seismocardiac events and respiration, as well as physical activity through inertial dynamics.npj Flexible Electronics (2020) 4:5 ; https://doi.

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Section: Discussionmentioning

confidence: 99%

Section: Development Of Personalized E-tecsmentioning

confidence: 99%

A tailored, electronic textile conformable suit for large-scale spatiotemporal physiological sensing in vivo

et al. 2020

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“…Die Effekte von Kompressionsbekleidung wurden in den letzten Jahren anhand zahlreicher Studien untersucht. Einige der postulierten Werbeargumente der Hersteller sind ein erhöhter venöser Rückfluss, Reduktion von Muskelschäden, Beschleunigung von Regenerationsprozessen, schnellerer Abbau von Stoffwechselmetaboliten, erhöhte Kraftentwicklung, verbesserte Ausdauer, erhöhter Sauerstoffgehalt in der Muskulatur, verbesserte Temperatursteuerung des Körpers und verminderte Ödem-Entwicklung in den unteren Extremitäten während Flügen [2][3][4][5][6][7][8][9][10][11][12][13].…”

Section: Introductionunclassified

Effektivität von Oberkörperkompressionsbekleidung unter Wettkampfbedingungen. Eine randomisierte Crossover-Studie an Elite-Kanusportlern mit einer zusätzlichen Einzelfallanalyse

Grim

Hotfiel

Engelhardt

et al. 2019

Sportverletz Sportschaden

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ZusammenfassungZiel der Studie war es zu untersuchen, ob im Elite-Kanusport durch das Tragen von Oberkörperkompressionsbekleidung eine Verbesserung der Leistungsfähigkeit zu erzielen ist. Für die Studie wurden 23 Elite-Athleten des Deutschen Kanuverbands (6 Frauen, 17 Männer) rekrutiert. Diese absolvierten auf einem Regattasee eine 1650 m lange Teststrecke mit gewohnten Wettkampf- bzw. Trainingsbooten und -paddeln. Die Athleten wurden randomisiert in 2 Gruppen eingeteilt und durchliefen die Teststrecke mit und ohne Oberkörperkompressionsbekleidung. Neben Zwischen- und Endzeiten wurden kapilläre Blutlaktatkonzentrationen erhoben. Für die Statistik wurden ein effektbasierter Ansatz („Magnitude-Based Inferences“) und eine zusätzliche Einzelfallanalyse durchgeführt. Hierfür wurde der mittlere bzw. individuelle Effekt in Relation zur kleinsten lohnenswerten Differenz betrachtet. Die effektbasierte Statistik zeigt im Mittel, dass durch das Tragen von Oberkörperkompressionsbekleidung keine eindeutigen Veränderungen hinsichtlich der Leistungsfähigkeit zu erzielen sind. Die Änderungen der Laktatkonzentrationen sind hingegen eindeutig, aber als trivial anzusehen. Im Gegensatz zum mittelwertanalytischen Vorgehen zeigen die Ergebnisse der Einzelfallanalyse, dass es bei 13,0 % der Athleten zu einer Leistungsverbesserung und bei 4,4 % zu einer geringeren Laktatkonzentration durch das Tragen von Oberkörperkompressionsbekleidung kam. Bei 4,4 % der Athleten kam es zu einer Leistungsverschlechterung und bei 17,4 % zu einer höheren Laktatkonzentration. Unsere Studie zeigt, dass das Tragen von Oberkörperkompressionsbekleidung bei hochtrainierten Elite-Kanusportlern im Mittel keinen Einfluss auf die Leistungsfähigkeit und Laktatkonzentration hat. Im Einzelfall zeigen sich jedoch positive und negative Effekte, die für den Elitebereich praktisch bedeutsam sein können.

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“…Muscle bulging increases the pressure non-linearly with respect to the increase in muscle force ( Belbasis et al, 2015a ). The most common sensors used for FMG purposes are off-the-shelf FSR (force sensing resistive) sensors, either as single sensors, several sensors ( Connan et al, 2016 ) or sensor matrix arrays ( Zhou et al, 2017 ), that are preloaded, compressed either by tight fitting garments or by elastic bands to the surface of the relevant muscles ( Lukowicz et al, 2006 ; McLaren et al, 2010 ; Zhou et al, 2017 ), Velcro bracelets ( Connan et al, 2016 ), integrated in a textile sleeve ( Ogris et al, 2007 ), equipped with mechanical preload adjustments ( Li et al, 2012 ), or placed inside a forearm orthosis ( Wininger et al, 2008 ). Belbasis and Fuss (2015) and Belbasis et al (2015a , b) used several customized piezoresistive polymer sensors sandwiched between compression garment and skin.…”

Section: Introductionmentioning

confidence: 99%

Muscle Performance Investigated With a Novel Smart Compression Garment Based on Pressure Sensor Force Myography and Its Validation Against EMG

Belbasis

Fuss

2018

Front. Physiol.

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Muscle activity and fatigue performance parameters were obtained and compared between both a smart compression garment and the gold-standard, a surface electromyography (EMG) system during high-speed cycling in seven participants. The smart compression garment, based on force myography (FMG), comprised of integrated pressure sensors that were sandwiched between skin and garment, located on five thigh muscles. The muscle activity was assessed by means of crank cycle diagrams (polar plots) that displayed the muscle activity relative to the crank cycle. The fatigue was assessed by means of the median frequency of the power spectrum of the EMG signal; the fractal dimension (FD) of the EMG signal; and the FD of the pressure signal. The smart compression garment returned performance parameters (muscle activity and fatigue) comparable to the surface EMG. The major differences were that the EMG measured the electrical activity, whereas the pressure sensor measured the mechanical activity. As such, there was a phase shift between electrical and mechanical signals, with the electrical signals preceding the mechanical counterparts in most cases. This is specifically pronounced in high-speed cycling. The fatigue trend over the duration of the cycling exercise was clearly reflected in the fatigue parameters (FDs and median frequency) obtained from pressure and EMG signals. The fatigue parameter of the pressure signal (FD) showed a higher time dependency (R2 = 0.84) compared to the EMG signal. This reflects that the pressure signal puts more emphasis on the fatigue as a function of time rather than on the origin of fatigue (e.g., peripheral or central fatigue). In light of the high-speed activity results, caution should be exerted when using data obtained from EMG for biomechanical models. In contrast to EMG data, activity data obtained from FMG are considered more appropriate and accurate as an input for biomechanical modeling as they truly reflect the mechanical muscle activity. In summary, the smart compression garment based on FMG is a valid alternative to EMG-garments and provides more accurate results at high-speed activity (avoiding the electro-mechanical delay), as well as clearly measures the progress of muscle fatigue over time.

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Preliminary development of a wearable device for dynamic pressure measurement in garments

Cited by 27 publications

References 11 publications

A tailored, electronic textile conformable suit for large-scale spatiotemporal physiological sensing in vivo

A tailored, electronic textile conformable suit for large-scale spatiotemporal physiological sensing in vivo

Effektivität von Oberkörperkompressionsbekleidung unter Wettkampfbedingungen. Eine randomisierte Crossover-Studie an Elite-Kanusportlern mit einer zusätzlichen Einzelfallanalyse

Muscle Performance Investigated With a Novel Smart Compression Garment Based on Pressure Sensor Force Myography and Its Validation Against EMG

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