TY - JOUR
T1 - Insole Optical Fiber Sensor Architecture for Remote Gait Analysis - An e-Health Solution
AU - Domingues, Maria Fátima
AU - Alberto, Nelia
AU - Leitao, Catia Sofia Jorge
AU - Tavares, Cátia
AU - De Lima, Eduardo Rocon
AU - Radwan, Ayman
AU - Sucasas, Victor
AU - Rodriguez, Jonathan
AU - Andre, Paulo S.B.
AU - Antunes, Paulo F.C.
N1 - Funding Information:
This work was supported in part by the Fundacao para a Ciencia e a Tecnologia (FCT)/MEC through National Funds and when applicable co-funded by the FEDER-PT2020 partnership agreement under Project UID/EEA/50008/2013 and Project UID/CTM/50025/2013, and in part by the Instituto de Telecomunicacoes through project WeHope. The work of M. F. Domingues was supported by the FCT under Grant SFRH/BPD/101372/2014. The work of N. Alberto was supported by the FCT under Grant SFRH/BPD/78141/2011. The work of C. Tavares was supported by the WeHope Project under Grant 818/2016. The work of E. Rocon de Lima was supported by CAPES under Grant PVE A126/2013. The work of A. Radwan was supported by the FCT under Grant IF/01393/2015
Funding Information:
Manuscript received March 31, 2017; revised June 23, 2017; accepted June 27, 2017. Date of publication July 4, 2017; date of current version February 25, 2019. This work was supported in part by the Fundação para a Ciência e a Tecnologia (FCT)/MEC through National Funds and when applicable co-funded by the FEDER–PT2020 partnership agreement under Project UID/EEA/50008/2013 and Project UID/CTM/50025/2013, and in part by the Instituto de Telecomunicações through project WeHope. The work of M. F. Domingues was supported by the FCT under Grant SFRH/BPD/101372/2014. The work of N. Alberto was supported by the FCT under Grant SFRH/BPD/78141/2011. The work of C. Tavares was supported by the WeHope Project under Grant 818/2016. The work of E. Rocon de Lima was supported by CAPES under Grant PVE A126/2013. The work of A. Radwan was supported by the FCT under Grant IF/01393/2015. (Corresponding author: Maria Fátima Domingues.) M. F. Domingues is with the Instituto de Telecomunicações, the Department of Physics, and the Institute of Nanostructures, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal, and also with the Centro de Automática y Robótica, CSIC-UPM ctra., 28500 Madrid, Spain (e-mail: [email protected]).
Publisher Copyright:
© 2014 IEEE.
PY - 2019/2
Y1 - 2019/2
N2 - The advances and fast spread of mobile devices and technologies, we witness today, have extended its advantages over medical and health practice supported by mobile devices, giving rise to the growing research of Internet of Things (IoT), especially the e-Health field. The features provided by mobile technologies revealed to be of major importance when we consider the continuous aging of population and the consequent increase of its debilities. In addition to the increase of lifetime span of population, also the increase of health risks and their locomotive impairments increases, requiring a close monitoring and continuous evaluation. Such monitoring should be as noninvasive as possible, in order not to compromise the mobility and the day-to-day activities of citizens. Therefore, we present the development of a noninvasive optical fiber sensor (OFS) architecture adaptable to a shoe sole for plantar pressure remote monitoring, which is suitable to be integrated in an IoT e-Health solution to monitor the wellbeing of individuals. This paper explores the production of the OFS multiplexed network (using fiber Bragg gratings) to monitor the foot plantar pressure distribution during gait (walking movement). From the acquired gait data, it is possible to infer health conditions of the patient's foot and spine posture. To guarantee the patients mobility, the proposed system consists of an OFS network integrated with a wireless transceiver to enable efficient ubiquitous monitoring of patients. This paper shows the calibration and measurement results, which reflect the accuracy of the proposed system, under normal walking in controlled area.
AB - The advances and fast spread of mobile devices and technologies, we witness today, have extended its advantages over medical and health practice supported by mobile devices, giving rise to the growing research of Internet of Things (IoT), especially the e-Health field. The features provided by mobile technologies revealed to be of major importance when we consider the continuous aging of population and the consequent increase of its debilities. In addition to the increase of lifetime span of population, also the increase of health risks and their locomotive impairments increases, requiring a close monitoring and continuous evaluation. Such monitoring should be as noninvasive as possible, in order not to compromise the mobility and the day-to-day activities of citizens. Therefore, we present the development of a noninvasive optical fiber sensor (OFS) architecture adaptable to a shoe sole for plantar pressure remote monitoring, which is suitable to be integrated in an IoT e-Health solution to monitor the wellbeing of individuals. This paper explores the production of the OFS multiplexed network (using fiber Bragg gratings) to monitor the foot plantar pressure distribution during gait (walking movement). From the acquired gait data, it is possible to infer health conditions of the patient's foot and spine posture. To guarantee the patients mobility, the proposed system consists of an OFS network integrated with a wireless transceiver to enable efficient ubiquitous monitoring of patients. This paper shows the calibration and measurement results, which reflect the accuracy of the proposed system, under normal walking in controlled area.
KW - e-Health
KW - fiber Bragg gratings (FBG)
KW - gait analysis
KW - Internet of Things (IoT)
KW - optical fiber sensing
KW - plantar pressure
UR - http://www.scopus.com/inward/record.url?scp=85023168169&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2017.2723263
DO - 10.1109/JIOT.2017.2723263
M3 - Article
AN - SCOPUS:85023168169
SN - 2327-4662
VL - 6
SP - 207
EP - 214
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 1
M1 - 7967821
ER -