MagicSox: An E-textile IoT system to quantify gait abnormalities

Abtahi, Mohammadreza; Gyllinsky, Joshua V.; Paesang, Brandon; Barlow, Scott; Constant, Matthew; Gomes, Nicholas; Tully, Oliver; D’Andrea, Susan E.; Mankodiya, Kunal

doi:10.1016/j.smhl.2017.10.002

Cited by 16 publications

(19 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A proposal for gait abnormalities' detection in patients with strokes, for their remote assistance, is the so-called MagicSox system, developed by a group of researches at the University of Rhode Island (USA) [49]. The architecture of the system contains a FlexiForce A201 (Tekscan) piezoresistive pressure sensor (on the heel), two flex sensors (one on the heel, the other one on the ankle, on its anterior side), a gyroscope and an accelerometer, both integrated in an Intel Curie processor module included in an Arduino 101 board, and a smartphone, used for collecting data through Bluetooth.…”

Section: Smart Socks For Patients Who Have Suffered Stroke Eventsmentioning

confidence: 99%

Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications

Drăgulinescu

Zinca

Bucur

et al. 2020

Sensors

View full text Add to dashboard Cite

The present paper reviews, for the first time, to the best of our knowledge, the most recent advances in research concerning two popular devices used for foot motion analysis and health monitoring: smart socks and in-shoe systems. The first one is representative of textile-based systems, whereas the second one is one of the most used pressure sensitive insole (PSI) systems that is used as an alternative to smart socks. The proposed methods are reviewed for smart sock use in special medical applications, for gait and foot pressure analysis. The Pedar system is also shown, together with studies of validation and repeatability for Pedar and other in-shoe systems. Then, the applications of Pedar are presented, mainly in medicine and sports. Our purpose was to offer the researchers in this field a useful means to overview and select relevant information. Moreover, our review can be a starting point for new, relevant research towards improving the design and functionality of the systems, as well as extending the research towards other areas of applications using sensors in smart textiles and in-shoe systems.

show abstract

Section: Smart Socks For Patients Who Have Suffered Stroke Eventsmentioning

confidence: 99%

Smart Socks and In-Shoe Systems: State-of-the-Art for Two Popular Technologies for Foot Motion Analysis, Sports, and Medical Applications

Drăgulinescu

Zinca

Bucur

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…As example, rigidity quantification is achieved in Reference [ 19 ] by collecting angular velocity data from the wrist, tremor and bradykinesia are quantified in References [ 9 ] and [ 14 ], respectively, through the acquisition of accelerometer and gyroscope data from the finger. Gait analysis is performed by obtaining and processing accelerometer, gyroscope and analog data from the ankle [ 20 ]. Therefore, it was important to first understand the common needs in this field and to be aware of the limitations, discussed below, of recent research and industrial projects that aim to support neurological diseases.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…Micro electromechanical systems inertial measurement units (MEMS IMUs), which are miniaturized components comprising a 3-axis accelerometer, gyroscope and often magnetometer, are the most implemented sensors for motion tracking [ 7 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 20 ]. They are preferred amongst developers for their small size, light weight and high precision.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…They are preferred amongst developers for their small size, light weight and high precision. However, depending on the aim of the project, the use of additional sensors, such as electromyographic [ 15 , 17 ], force [ 17 , 20 ] and flex [ 13 , 20 ] sensors are also common. These provide more detailed information about the muscles’ activity, the performed force and the joints angles, respectively.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…To process and visualize sensitive data, developers use either a computer [ 9 , 11 , 12 , 13 , 14 , 17 ], a smartphone [ 7 ] or both [ 10 , 15 , 16 , 18 , 20 ]. At first sight, the single use of computers seems to be less practical, since smartphones are smaller, easier to use and carry and usually have enough processing capabilities.…”

Section: Introduction and Related Workmentioning

confidence: 99%

See 2 more Smart Citations

SnapKi—An Inertial Easy-to-Adapt Wearable Textile Device for Movement Quantification of Neurological Patients

Oliveira

Dias

Lopes

et al. 2020

Sensors

View full text Add to dashboard Cite

The development of wearable health systems has been the focus of many researchers who aim to find solutions in healthcare. Additionally, the large potential of textiles to integrate electronics, together with the comfort and usability they provide, has contributed to the development of smart garments in this area. In the field of neurological disorders with motor impairment, clinicians look for wearable devices that may provide quantification of movement symptoms. Neurological disorders affect different motion abilities thus requiring different needs in movement quantification. With this background we designed and developed an inertial textile-embedded wearable device that is adaptable to different movement-disorders quantification requirements. This adaptative device is composed of a low-power 9-axis inertial unit, a customised textile band and a web and Android cross application used for data collection, debug and calibration. The textile band comprises a snap buttons system that allows the attachment of the inertial unit, as well as its connection with the analog sensors through conductive textile. The resulting system is easily adaptable for quantification of multiple motor symptoms in different parts of the body, such as rigidity, tremor and bradykinesia assessments, gait analysis, among others. In our project, the system was applied for a specific use-case of wrist rigidity quantification during Deep Brain Stimulation surgeries, showing its high versatility and receiving very positive feedback from patients and doctors.

show abstract