A technology for prediction and prevention of freezing of gait (FOG) in individuals with Parkinson disease

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dc.contributor.author Patel, Megh
dc.contributor.author Krishna, Gottumukala Sai Rama
dc.contributor.author Das, Abhijit
dc.contributor.author Lahiri, Uttama
dc.contributor.other 6th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2017)
dc.coverage.spatial Industrial Design Centre, IIT Bombay, Mumbai, IN
dc.date.accessioned 2017-10-06T11:05:51Z
dc.date.available 2017-10-06T11:05:51Z
dc.date.issued 2017-09-25
dc.identifier.citation Patel, Megh; Krishna, Gottumukala Sai Rama; Das, Abhijit and Lahiri, Uttama, "A technology for prediction and prevention of freezing of gait (FOG) in individuals with Parkinson disease", in the 6th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2017), Industrial Design Centre, IIT Bombay, Mumbai, IN, Sep. 25-29, 2017. en_US
dc.identifier.issn 978-3-319-67686-9
dc.identifier.issn 978-3-319-67687-6
dc.identifier.uri https://doi.org/10.1007/978-3-319-67687-6_26
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3174
dc.description.abstract External cueing in the form of visual, auditory or vibratory cue is useful to avoid freezing of gait (FOG) problem commonly experienced by individuals with Parkinson Disease (PD). The currently available technology-assisted solutions are of limited help because of two main issues: (i) the use of accelerometer or gyro-based wearable sensors for prediction of FOG are noise prone and (ii) deliver external cues without any individualization. In our present research, we have designed a low-cost system that can be attached as an add-on module on ordinary walking stick that can (i) predict freezing of gait (ii) deliver visual, auditory and/or vibratory cues in an individualized manner. We conducted a preliminary study with one PD participant. The preliminary results show potential of our system to reduce freezing counts, increase average step length and walk speed of the participant.
dc.description.statementofresponsibility by Megh Patel, Gottumukala Sai Rama Krishna, Abhijit Das and Uttama Lahiri
dc.language.iso en en_US
dc.publisher Springer International Publishing en_US
dc.subject Parkinson's Disease (PD) en_US
dc.subject Cues Freezing of gait(FOG) en_US
dc.subject Gait analysis en_US
dc.title A technology for prediction and prevention of freezing of gait (FOG) in individuals with Parkinson disease en_US
dc.type Article en_US


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