Design of a smart insole for ambulatory assessment of gait

Y. S. Ashad Mustufa, John Barton, Brendan O'Flynn, RJ Davies, PJ McCullagh, H Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we present the design and development of a smart insole that may be used to assess long term chronic conditions that affect the elderly population such as Stroke, Dementia, Parkinson;s disease, Cancer, Cardiac Disease and Diabetes. This smart insole offers the potential for evidence base rehabilitation. The ICT solution detect the plantar foot pressure in a free living context through the integration of piezo sensors, microcontroller and Bluetooth technology to empirically measure the pressure at important pressure points. The insole consists of 32 piezo sensors, 01 tri-axial accelerometers, temperature sensor and force sensor to automatically switch ON/OFF the insole. The accelerometers provide context for orientation. The design comprises two flexible PCBs encased in a padded layer, in order to protect the sensors and provide comfort to wearer.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 2015
EventWearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on - Cambridge, MA, USA
Duration: 1 Jan 2015 → …

Conference

ConferenceWearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on
Period1/01/15 → …

Fingerprint

Sensors
Accelerometers
Bluetooth
Temperature sensors
Microcontrollers
Medical problems
Polychlorinated biphenyls
Patient rehabilitation
Switches

Keywords

  • Wireless sensor network
  • flexible sensor PCB
  • vital signs
  • microsystems
  • wearable technology

Cite this

Mustufa, Y. S. Ashad ; Barton, John ; O'Flynn, Brendan ; Davies, RJ ; McCullagh, PJ ; Zheng, H. / Design of a smart insole for ambulatory assessment of gait. Unknown Host Publication. 2015. pp. 1-5
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abstract = "In this paper, we present the design and development of a smart insole that may be used to assess long term chronic conditions that affect the elderly population such as Stroke, Dementia, Parkinson;s disease, Cancer, Cardiac Disease and Diabetes. This smart insole offers the potential for evidence base rehabilitation. The ICT solution detect the plantar foot pressure in a free living context through the integration of piezo sensors, microcontroller and Bluetooth technology to empirically measure the pressure at important pressure points. The insole consists of 32 piezo sensors, 01 tri-axial accelerometers, temperature sensor and force sensor to automatically switch ON/OFF the insole. The accelerometers provide context for orientation. The design comprises two flexible PCBs encased in a padded layer, in order to protect the sensors and provide comfort to wearer.",
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author = "Mustufa, {Y. S. Ashad} and John Barton and Brendan O'Flynn and RJ Davies and PJ McCullagh and H Zheng",
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Mustufa, YSA, Barton, J, O'Flynn, B, Davies, RJ, McCullagh, PJ & Zheng, H 2015, Design of a smart insole for ambulatory assessment of gait. in Unknown Host Publication. pp. 1-5, Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on, 1/01/15. https://doi.org/10.1109/BSN.2015.7299383

Design of a smart insole for ambulatory assessment of gait. / Mustufa, Y. S. Ashad; Barton, John; O'Flynn, Brendan; Davies, RJ; McCullagh, PJ; Zheng, H.

Unknown Host Publication. 2015. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In this paper, we present the design and development of a smart insole that may be used to assess long term chronic conditions that affect the elderly population such as Stroke, Dementia, Parkinson;s disease, Cancer, Cardiac Disease and Diabetes. This smart insole offers the potential for evidence base rehabilitation. The ICT solution detect the plantar foot pressure in a free living context through the integration of piezo sensors, microcontroller and Bluetooth technology to empirically measure the pressure at important pressure points. The insole consists of 32 piezo sensors, 01 tri-axial accelerometers, temperature sensor and force sensor to automatically switch ON/OFF the insole. The accelerometers provide context for orientation. The design comprises two flexible PCBs encased in a padded layer, in order to protect the sensors and provide comfort to wearer.

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