Title :
Smartphone based freezing of gait detection for Parkinsonian patients
Author :
Pepa, L. ; Verdini, F. ; Capecci, M. ; Ceravolo, M.G.
Author_Institution :
Inf. Eng. Dept., Univ.´ Politec. delle Marche, Ancona, Italy
Abstract :
We built a smartphone-based architecture to detect on line Freezing of Gait (FOG) occurrences and send acoustic signals to restore gait. Parameters used for FOG detection and FOG events are stored in a local database and periodically sent to a clinical server. We tested this solution on 18 patients.
Keywords :
acoustic signal detection; acoustic signal processing; biomedical electronics; gait analysis; medical disorders; medical signal processing; mobile computing; neurophysiology; patient diagnosis; smart phones; user interfaces; FOG detection parameters; FOG events; Parkinson patient gait analysis; Parkinson patient gait restoration; acoustic signal-based gait restoration; freezing of gait detection parameters; freezing of gait events; gait freezing detection; local database-stored acoustic signals; on line FOG occurrences; on line freezing of gait occurrences; smartphone-based FOG detection architecture; smartphone-based gait freezing; Accelerometers; Acoustics; Computer architecture; Conferences; Legged locomotion; Market research; Parkinson´s disease; Acceptability; Freezing of Gait Detection; Parkinson´s Disease; Smartphone;
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
DOI :
10.1109/ICCE.2015.7066386
