In-shoe multisensory data acquisition system

Morley, Robert E.; Richter, Edward J.; Klaesner, Joseph W.; Maluf, Katrina S.; Mueller, Michael J.

doi:10.1109/10.930906

Cited by 68 publications

(21 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For diabetics, Morley et al [8] and Maluf et al [9] developed an insole-based system to quantify the conditions inside the shoe, to predict the progression of skin breakdown and ulceration in diabetic patients with peripheral neuropathy. Pappas et al [10], [11] used a pattern recognition algorithm to define the transitions during the gait cycle using their device consisting of three FSRs located on an insole (one under the heel, and two at the first and fourth metatarsal heads), and a gyroscope.…”

Section: Introductionmentioning

confidence: 99%

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

Bamberg

Benbasat

Scarborough

et al. 2008

IEEE Trans. Inform. Technol. Biomed.

628

330

View full text Add to dashboard Cite

Abstract-We describe a wireless wearable system that was developed to provide quantitative gait analysis outside the confines of the traditional motion laboratory. The sensor suite includes three orthogonal accelerometers, three orthogonal gyroscopes, four force sensors, two bidirectional bend sensors, two dynamic pressure sensors, as well as electric field height sensors. The "GaitShoe" was built to be worn in any shoe, without interfering with gait and was designed to collect data unobtrusively, in any environment, and over long periods. The calibrated sensor outputs were analyzed and validated with results obtained simultaneously from the Massachusetts General Hospital, Biomotion Laboratory. The GaitShoe proved highly capable of detecting heel-strike and toe-off, as well as estimating foot orientation and position, inter alia.Index Terms-Biomedical measurements, body sensor networks, legged locomotion, multisensor systems, telemetry.

show abstract

Section: Introductionmentioning

confidence: 99%

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

Bamberg

Benbasat

Scarborough

et al. 2008

IEEE Trans. Inform. Technol. Biomed.

628

330

View full text Add to dashboard Cite

show abstract

“…Footwear that offers the possibility of measuring a number of different modalities has been proposed by Mueller and his colleagues, 51,52 who developed an inshoe device to measure temperature, pressure, humidity, and step count.…”

Section: Devices Usedmentioning

confidence: 99%

The Biomechanics of the Foot in Diabetes Mellitus

Cavanagh¹,

Ulbrecht²

2008

Levin and O'Neal's the Diabetic Foot

View full text Add to dashboard Cite

“…We present a new extensible, wearable composite sensing system that is capable of measuring multiple factors simultaneously, providing an alternate multifactorial pathway for predicting tissue failure. The device increases the number of metrics previously measured in concert in predicate devices from 3 to 8 [15,16].…”

Section: Introductionmentioning

confidence: 99%

Wearable Multimodal Skin Sensing for the Diabetic Foot

2016

View full text Add to dashboard Cite

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.

show abstract

In-shoe multisensory data acquisition system

Cited by 68 publications

References 8 publications

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

Gait Analysis Using a Shoe-Integrated Wireless Sensor System

The Biomechanics of the Foot in Diabetes Mellitus

Wearable Multimodal Skin Sensing for the Diabetic Foot

Contact Info

Product

Resources

About