TY - JOUR
T1 - Insole optical fiber sensor architecture for remote gait analysis
T2 - an eHealth Solution
AU - Domingues, M. Fatima
AU - Alberto, Nelia
AU - Leitao, Catia
AU - Tavares, Catia
AU - de Lima, Eduardo Rocon
AU - Radwan, Ayman
AU - Sucasas, Victor
AU - Rodriguez, Jonathan
AU - Andre, Paulo
AU - Antunes, Paulo
PY - 2017/7/4
Y1 - 2017/7/4
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 non-invasive as possible, in order not to compromise the mobility and the day-to-day activities of citizens. Therefore, we present the development of a non-invasive optical fiber sensor 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. The paper explores the production of the optical fiber sensor 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 optical fiber sensor network integrated with a wireless transceiver to enable efficient ubiquitous monitoring of patients. The 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 non-invasive as possible, in order not to compromise the mobility and the day-to-day activities of citizens. Therefore, we present the development of a non-invasive optical fiber sensor 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. The paper explores the production of the optical fiber sensor 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 optical fiber sensor network integrated with a wireless transceiver to enable efficient ubiquitous monitoring of patients. The 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
KW - Fiber gratings
KW - Foot
KW - Gait analysis
KW - Internet of Things
KW - Monitoring
KW - Optical fiber sensing.
KW - Optical fiber sensors
KW - Optical fibers
KW - Plantar pressure
U2 - 10.1109/JIOT.2017.2723263
DO - 10.1109/JIOT.2017.2723263
M3 - Article
AN - SCOPUS:85023168169
SN - 2327-4662
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
ER -