A smart pressure-sensitive insole that reminds you to walk correctly: An orthotic-less treatment for over pronation

Berengueres, Jose; Fritschi, Michael; McClanahan, Ray

doi:10.1109/embc.2014.6944127

“…Further research is required to investigate long‐term effects of regular feedback on both plantar pressure reduction and associated DFU risk . With the rise in smart‐technology, we are seeing advancements in pressure‐feedback systems, whereby pressure is analysed and feedback provided continuously . However, such advancements are evident in other treatment areas but until recently were yet to be implemented within diabetes and DFU prevention.…”

Section: Plantar Offloading Interventions For the At‐risk Footmentioning

confidence: 99%

The role of foot pressure measurement in the prediction and prevention of diabetic foot ulceration—A comprehensive review

Chatwin

¹

,

Abbott

²

,

Boulton

³

et al. 2019

Diabetes Metabolism Res

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The predominant risk factor of diabetic foot ulcers (DFU), peripheral neuropathy, results in loss of protective sensation and is associated with abnormally high plantar pressures. DFU prevention strategies strive to reduce these high plantar pressures.Nevertheless, several constraints should be acknowledged regarding the research supporting the link between plantar pressure and DFUs, which may explain the low prediction ability reported in prospective studies. The majority of studies assess vertical, rather than shear, barefoot plantar pressure in laboratory-based environments, rather than during daily activity. Few studies investigated previous DFU location-specific pressure. Previous studies focus predominantly on walking, although studies monitoring activity suggest that more time is spent on other weight-bearing activities, where a lower "peak" plantar pressure might be applied over a longer duration.Although further research is needed, this may indicate that an expression of cumulative pressure applied over time could be a more relevant parameter than peak pressure. Studies indicated that providing pressure feedback might reduce plantar pressures, with an emerging potential use of smart technology, however, further research is required. Further pressure analyses, across all weight-bearing activities, referring to location-specific pressures are required to improve our understanding of pressures resulting in DFUs and improve effectiveness of interventions.

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“…6 Another study by Berengueres et al used an insole equipped with a force sensor to detect when over-pronation occurred in patients with hallux valgus. 5 To date, however, these types of devices have not been used to reduce the risk of foot ulceration among patients with diabetes.…”

mentioning

confidence: 99%

“…An increasing number of studies have begun to use feedback devices to help at-risk populations avoid negative outcomes. 5,6 One such study by Sanghan et al used an in-shoe dynamic pressure system to alert hemiplegics when the average plantar pressure between their feet differed by more than 5%. 6 Another study by Berengueres et al used an insole equipped with a force sensor to detect when over-pronation occurred in patients with hallux valgus.…”

mentioning

confidence: 99%

Smarter Sole Survival: Will Neuropathic Patients at High Risk for Ulceration Use a Smart Insole-Based Foot Protection System?

Najafi

¹

,

Ron

²

,

Enriquez

³

et al. 2017

J Diabetes Sci Technol

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Objective: This study examined adherence to alert-based cues for plantar pressure offloading in patients with diabetic foot disease. Method and Design: Participants (n = 17) with in diabetic foot remission (history of neuropathic ulceration) were instructed to wear a smart insole system (the SurroSense Rx, Orpyx Medical Technologies Inc, Calgary, Canada) over a three-month period. This device is designed to cue offloading to manage unprotected sustained plantar pressures in an effort to prevent foot ulceration. A successful response to an alert was defined as pressure offloading, which occurred within 20 minutes of the alert onset. Patient adherence, defined as daily hours of device wear, was determined using sensor data and patient questionnaires. Changes in these parameters were assessed monthly. Results: Patients demonstrating increased adherence over the course of the study received more alerts (0.82 ± 0.31 alerts/hour) than patients whose adherence did not improve (0.36 ± 0.46 alerts/hour, P = .156). By the final stages of the study, participants who had received at least one alert every two hours were more adherent with offloading than participants who received fewer alerts (52.5 ± 4.1% vs 24.7 ± 22.4%, P = .043). Furthermore, duration of time from alert generation to successful offloading was significantly greater in the group receiving fewer alerts. This was measured in the third month with an effect size Cohen’s d = 1.739, P = .043. Conclusion: The results suggest a minimum number of alerts (one every two hours) is required for patients with diabetic neuropathy to optimally respond to offloading cues from a smart insole system.

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“…90 With the rise in smart-technology, we are seeing advancements in pressure-feedback systems, whereby pressure is analysed and feedback provided continuously. 91,92 However, such advancements are evident in other treatment areas but until recently were yet to be implemented within diabetes and DFU prevention. A recent prospective, randomised proof-of-concept trial saw participants wear an innovative, smart insole system, which provided visual and auditory plantar pressure feedback to the intervention group during daily-life activities, while a control group had the same sensors without receiving any pressure feedback.…”

Section: Plantar Offloading Interventions For the At-risk Footmentioning

confidence: 99%

ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

Gill

¹

,

Tuli

²

,

Toosi

³

et al. 2020

Journal of Systems and Software

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The predominant risk factor of diabetic foot ulcers (DFU), peripheral neuropathy, results in loss of protective sensation and is associated with abnormally high plantar pressures. DFU prevention strategies strive to reduce these high plantar pressures.Nevertheless, several constraints should be acknowledged regarding the research supporting the link between plantar pressure and DFUs, which may explain the low prediction ability reported in prospective studies. The majority of studies assess vertical, rather than shear, barefoot plantar pressure in laboratory-based environments, rather than during daily activity. Few studies investigated previous DFU location-specific pressure. Previous studies focus predominantly on walking, although studies monitoring activity suggest that more time is spent on other weight-bearing activities, where a lower "peak" plantar pressure might be applied over a longer duration.Although further research is needed, this may indicate that an expression of cumulative pressure applied over time could be a more relevant parameter than peak pressure. Studies indicated that providing pressure feedback might reduce plantar pressures, with an emerging potential use of smart technology, however, further research is required. Further pressure analyses, across all weight-bearing activities, referring to location-specific pressures are required to improve our understanding of pressures resulting in DFUs and improve effectiveness of interventions.

show abstract

A smart pressure-sensitive insole that reminds you to walk correctly: An orthotic-less treatment for over pronation

Cited by 17 publications

References 6 publications

The role of foot pressure measurement in the prediction and prevention of diabetic foot ulceration—A comprehensive review

The role of foot pressure measurement in the prediction and prevention of diabetic foot ulceration—A comprehensive review

Smarter Sole Survival: Will Neuropathic Patients at High Risk for Ulceration Use a Smart Insole-Based Foot Protection System?

ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

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