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

fYear

2015

fDate

9-12 Jan. 2015

Firstpage

212

Lastpage

215

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ICCE), 2015 IEEE International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4799-7542-6

Type

conf

DOI

10.1109/ICCE.2015.7066386

Filename

7066386