@inbook{79e92ee763c54b46918ab1a41f4cc86b,
title = "Design of a smart insole for ambulatory assessment of gait",
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.",
keywords = "flexible sensor PCB, microsystems, vital signs, wearable technology, Wireless sensor network",
author = "Mustufa, \{Y. S.Ashad\} and John Barton and Brendan O'Flynn and Richard Davies and Paul McCullagh and Huiru Zheng",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 ; Conference date: 09-06-2015 Through 12-06-2015",
year = "2015",
month = oct,
day = "15",
doi = "10.1109/BSN.2015.7299383",
language = "English",
series = "2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015",
address = "United States",
}
