Insole Optical Fiber Sensor Architecture for Remote Gait Analysis—An e-Health Solution

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.

[1]  Maxim Raya,et al.  The security of vehicular ad hoc networks , 2005, SASN '05.

[2]  P. Cavanagh,et al.  Structural and functional predictors of regional peak pressures under the foot during walking. , 1999, Journal of biomechanics.

[3]  Rui L. Reis,et al.  Cork: properties, capabilities and applications , 2005 .

[4]  Maria Fátima Domingues,et al.  Mobile caching-enabled small-cells for delay-tolerant e-Health apps , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).

[5]  Rezaul K. Begg,et al.  Foot Plantar Pressure Measurement System: A Review , 2012, Sensors.

[6]  Aníbal Costa,et al.  Optical fiber bragg grating based accelerometers and applications , 2013 .

[7]  João Paulo Vilas-Boas,et al.  In-Shoe Plantar Pressures and Ground Reaction Forces During Overweight Adults' Overground Walking , 2014, Research quarterly for exercise and sport.

[8]  Pin-Han Ho,et al.  GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications , 2007, IEEE Transactions on Vehicular Technology.

[9]  Ph. André,et al.  Optical Fiber Technology for eHealthcare , 2013 .

[10]  Tao Liu,et al.  Gait Analysis Using Wearable Sensors , 2012, Sensors.

[11]  Firooz B. Saghezchi,et al.  An autonomous privacy-preserving authentication scheme for intelligent transportation systems , 2016, Comput. Secur..

[12]  Maria Fátima Domingues,et al.  Insole optical fiber Bragg grating sensors network for dynamic vertical force monitoring , 2017, Journal of biomedical optics.

[13]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[14]  Jonathan Rodriguez,et al.  Energy saving in multi-standard mobile terminals through short-range cooperation , 2012, EURASIP J. Wirel. Commun. Netw..

[15]  Paulo F. C. Antunes,et al.  Optical Fiber Microcavity Strain Sensors Produced by the Catastrophic Fuse Effect , 2014, IEEE Photonics Technology Letters.

[16]  K. Hill,et al.  Fiber Bragg grating technology fundamentals and overview , 1997 .

[17]  Zhiyi Fang,et al.  Securing Vehicular Ad Hoc Networks , 2007, 2007 2nd International Conference on Pervasive Computing and Applications.

[18]  Rogério Nogueira,et al.  Feasibility studies of Bragg probe for noninvasive carotid pulse waveform assessment , 2013, Journal of biomedical optics.

[19]  Edward Sazonov,et al.  Automatic Detection of Temporal Gait Parameters in Poststroke Individuals , 2011, IEEE Transactions on Information Technology in Biomedicine.

[20]  Umesh Tiwari,et al.  Fiber grating sensors in medicine: Current and emerging applications , 2011 .

[21]  Firooz B. Saghezchi,et al.  Coalition formation game toward green mobile terminals in heterogeneous wireless networks , 2013, IEEE Wireless Communications.

[22]  Xiaodong Lin,et al.  A Lightweight Conditional Privacy-Preservation Protocol for Vehicular Traffic-Monitoring Systems , 2013, IEEE Intelligent Systems.

[23]  J. Eng,et al.  Symmetry in vertical ground reaction force is accompanied by symmetry in temporal but not distance variables of gait in persons with stroke. , 2003, Gait & posture.