Smart Diabetic Socks: Embedded device for diabetic foot prevention

Perrier, Antoine; Vuillerme, Nicolas; Luboz, Vincent; Bucki, Marek; Cannard, Francis; Diot, Bruno; Colin, D.; Rin, D.; Bourg, Jean-Philippe; Payan, Yohan

doi:10.1016/j.irbm.2014.02.004

Cited by 41 publications

(32 citation statements)

References 15 publications

(17 reference statements)

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“…Some research papers describe textile implementations for actigraphy and gait analysis. These works show the development and implementation of smart socks with embedded pressure and strain sensors [6][7][8][9][10][11][12], and they have shown results in movement classification. However, embedding electronics in a sock usually take place outside the textile structure, which makes it uncomfortable to the user and could affect normal gait conditions.…”

Section: Introductionmentioning

confidence: 96%

Gait Segmentation Method Using a Plantar Pressure Measurement System with Custom-Made Capacitive Sensors

Aqueveque

Germany

Osorio

et al. 2020

Sensors

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Gait analysis has been widely studied by researchers due to the impact in clinical fields. It provides relevant information on the condition of a patient’s pathologies. In the last decades, different gait measurement methods have been developed in order to identify parameters that can contribute to gait cycles. Analyzing those parameters, it is possible to segment and identify different phases of gait cycles, making these studies easier and more accurate. This paper proposes a simple gait segmentation method based on plantar pressure measurement. Current methods used by researchers and clinicians are based on multiple sensing devices (e.g., multiple cameras, multiple inertial measurement units (IMUs)). Our proposal uses plantar pressure information from only two sensorized insoles that were designed and implemented with eight custom-made flexible capacitive sensors. An algorithm was implemented to calculate gait parameters and segment gait cycle phases and subphases. Functional tests were performed in six healthy volunteers in a 10 m walking test. The designed in-shoe insole presented an average power consumption of 44 mA under operation. The system segmented the gait phases and sub-phases in all subjects. The calculated percentile distribution between stance phase time and swing phase time was almost 60%/40%, which is aligned with literature reports on healthy subjects. Our results show that the system achieves a successful segmentation of gait phases and subphases, is capable of reporting COP velocity, double support time, cadence, stance phase time percentage, swing phase time percentage, and double support time percentage. The proposed system allows for the simplification of the assessment method in the recovery process for both patients and clinicians.

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Section: Introductionmentioning

confidence: 96%

Gait Segmentation Method Using a Plantar Pressure Measurement System with Custom-Made Capacitive Sensors

Aqueveque

Germany

Osorio

et al. 2020

Sensors

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“…The data allowed evaluating running and walking modes of asymptomatic and flat foot. In another study, electronic socks were utilized to prevent pressure‐induced foot ulcers in diabetic patients . The socks consisted of cotton, polyamide, silver‐coated cotton, and piezoresistive fibers.…”

Section: The Rise Of Personalized Medicinementioning

confidence: 99%

Wearables in Medicine

et al. 2018

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Wearables as medical technologies are becoming an integral part of personal analytics, measuring physical status, recording physiological parameters, or informing schedule for medication. These continuously evolving technology platforms do not only promise to help people pursue a healthier life style, but also provide continuous medical data for actively tracking metabolic status, diagnosis, and treatment. Advances in the miniaturization of flexible electronics, electrochemical biosensors, microfluidics, and artificial intelligence algorithms have led to wearable devices that can generate real-time medical data within the Internet of things. These flexible devices can be configured to make conformal contact with epidermal, ocular, intracochlear, and dental interfaces to collect biochemical or electrophysiological signals. This article discusses consumer trends in wearable electronics, commercial and emerging devices, and fabrication methods. It also reviews real-time monitoring of vital signs using biosensors, stimuli-responsive materials for drug delivery, and closed-loop theranostic systems. It covers future challenges in augmented, virtual, and mixed reality, communication modes, energy management, displays, conformity, and data safety. The development of patient-oriented wearable technologies and their incorporation in randomized clinical trials will facilitate the design of safe and effective approaches.

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“…In order to monitor the external pressures a fully wireless customizable and washable smart sock was designed in a collaboration between two research laboratories (TIMC-IMAG and AGIM), three companies (TexiSense, IDS and IFTH) and a clinical center (Centre de l'Arche) in France [Perrier et al, 2014].This smart sock is made of three main components: a 100% textile sock that collects the foot external pressures, a central unit, and an external device that receives the wireless information sent by the central unit and estimates the risks for pressure ulcer. A schematic of this system and details of the sock and its embedded sensors are shown in Fig.…”

Section: Foot Ulcer and Smart Diabetic Socksmentioning

confidence: 99%