New posturographic assessment by means of novel e-textile and wireless socks device

D’Addio, Giovanni; Iuppariello, Luigi; Pagano, Gaetano; Biancardi, Arcangelo; Lanzillo, B.; Pappone, N.; Cesarelli, Mario

doi:10.1109/memea.2016.7533798

Cited by 23 publications

(13 citation statements)

References 18 publications

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“…As reported by Gaibizzi et al [77], the Sensoria smart t-shirt could potentially be a promising candidate component, which is compatible with the Heart Sentinel™ smartphone app, to build a system for detecting and alerting cardiac arrest caused by life-threatening arrhythmias such as ventricular fibrillation (VF) during outdoor sports. A study by D'Addio et al [78] on posturographic assessment with a small group of patients with Parkinson's disease identified Sensoria fitness e-textile socks as a low-cost alternative to evaluate variations in centre of pressure (CoP) signal when compared with the gold standard stabilometric Zebris platform (ZP).…”

Section: Othersmentioning

confidence: 99%

“…It is also claimed that wearing the trucker jacket, consumers will be able to connect to their digital life instantly and effortlessly. With a lateral brush of the cuff, the wearer can handle calls and texts without handling the mobile device, as well as navigate and play, pause, and skip through their favourite music [78,79].…”

Section: Trucker Jacket By Levi's and Googlementioning

confidence: 99%

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Review on Smart Electro-Clothing Systems (SeCSs)

Sayem

Teay

Shahariar

et al. 2020

Sensors

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This review paper presents an overview of the smart electro-clothing systems (SeCSs) targeted at health monitoring, sports benefits, fitness tracking, and social activities. Technical features of the available SeCSs, covering both textile and electronic components, are thoroughly discussed and their applications in the industry and research purposes are highlighted. In addition, it also presents the developments in the associated areas of wearable sensor systems and textile-based dry sensors. As became evident during the literature research, such a review on SeCSs covering all relevant issues has not been presented before. This paper will be particularly helpful for new generation researchers who are and will be investigating the design, development, function, and comforts of the sensor integrated clothing materials.

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Section: Othersmentioning

confidence: 99%

Section: Trucker Jacket By Levi's and Googlementioning

confidence: 99%

Review on Smart Electro-Clothing Systems (SeCSs)

Sayem

Teay

Shahariar

et al. 2020

Sensors

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“…Though the use of a battery pack and touch screen would allow the Raspberry Pi to be used in a mobile situation, further development could lead to either conversion to BTLe (BT4) with data logging on other mobile devices or peer to peer, in shoe, data logging for increased utility at a later date. We utilised a sampling frequency, 20 Hz, which is lower than commercially available devices such as the Sensoria Sock [12] 35 Hz or the TekScan MatScan [13] 40 Hz to enable the gathering of larger data sets with the available hardware. Inputs were low pass filtered at 10 Hz and sampled at 20 Hz to obey the Nyquist sampling theorem.…”

Section: Discussionmentioning

confidence: 99%

“…Comercial devices such as the Sensoria sock [12], which incorporates three force sensors and a triple axis accelerometer, are available as commodity devices. Devices such as the TekScan mat [13] and F-Scan [14] are specifically for laboratory or clinical use.…”

Section: Introductionmentioning

confidence: 99%

Wearable Multimodal Skin Sensing for the Diabetic Foot

2016

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Ulceration of the diabetic foot is currently difficult to detect reliably in a timely manner causing undue suffering and cost. Current best practice is for daily monitoring by those living with diabetes coupled to scheduled monitoring by the incumbent care provider. Although some metrics have proven useful in the detection or prediction of ulceration, no single metric can currently be relied upon for diagnosis. We have developed a prototype multivariate extensible sensor platform with which we demonstrate the ability to gather acceleration, rotation, galvanic skin response, environmental temperature, humidity, force, skin temperature and bioimpedance signals in real time, for later analysis, utilising low cost Raspberry Pi and Arduino devices. We demonstrate the utility of the Raspberry Pi computer in research which is of particular interest to this issue of electronics-Raspberry Pi edition. We conclude that the hardware presented shows potential as an adaptable research tool capable of gathering synchronous data over multiple sensor modalities. This research tool will be utilised to optimise sensor selection, placement and algorithm development prior to translation into a sock, insole or platform diagnostic device at a later date. The combination of a number of clinically relevant parameters is expected to provide greater understanding of tissue state in the foot but requires further volunteer testing and analysis beyond the scope of this paper which will be reported in due course.

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“…Regarding biomedical applications, because of their complexity, traditional force plates for postural stability assessment are unlikely applicable outside clinical environment; therefore, D’Addio et al [ 68 ] evaluated the ability of new e-textile and wireless wearable sensor technologies to extend the posturography in new low-cost and home assessment contexts. Preliminary results showed a significant agreement between SF and the reference sensor measurements, suggesting a clinical use of Sensoria for low cost home care-based balance impairment assessments.…”

Section: Towards Wearable Rsdsmentioning

confidence: 99%

Wearable Intrinsically Soft, Stretchable, Flexible Devices for Memories and Computing

Rajan

Garofalo

Chiolerio

2018

Sensors

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A recent trend in the development of high mass consumption electron devices is towards electronic textiles (e-textiles), smart wearable devices, smart clothes, and flexible or printable electronics. Intrinsically soft, stretchable, flexible, Wearable Memories and Computing devices (WMCs) bring us closer to sci-fi scenarios, where future electronic systems are totally integrated in our everyday outfits and help us in achieving a higher comfort level, interacting for us with other digital devices such as smartphones and domotics, or with analog devices, such as our brain/peripheral nervous system. WMC will enable each of us to contribute to open and big data systems as individual nodes, providing real-time information about physical and environmental parameters (including air pollution monitoring, sound and light pollution, chemical or radioactive fallout alert, network availability, and so on). Furthermore, WMC could be directly connected to human brain and enable extremely fast operation and unprecedented interface complexity, directly mapping the continuous states available to biological systems. This review focuses on recent advances in nanotechnology and materials science and pays particular attention to any result and promising technology to enable intrinsically soft, stretchable, flexible WMC.

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New posturographic assessment by means of novel e-textile and wireless socks device

Cited by 23 publications

References 18 publications

Review on Smart Electro-Clothing Systems (SeCSs)

Review on Smart Electro-Clothing Systems (SeCSs)

Wearable Multimodal Skin Sensing for the Diabetic Foot

Wearable Intrinsically Soft, Stretchable, Flexible Devices for Memories and Computing

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