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Prethodno priopćenje
https://doi.org/10.17559/TV-20160914144554

Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks

Omer Akgun ; Marmara University, Department of Computer Engineering, Kuyubasi, Istanbul, 34722, Turkey
Aydin Akan   ORCID icon orcid.org/0000-0001-8894-5794 ; Katip Celebi University, Subdiscipline of Biomedical Engineering, Avcilar, Izmir, 35620, Turkey
Hasan Demir ; Namik Kemal University, Electronics & Communications Engineering, Tekirdag, 59000, Turkey
Tahir Cetin Akinci   ORCID icon orcid.org/0000-0002-4657-6617 ; Istanbul Technical University, Department of Electrical Engineering, Maslak, Istanbul, 34320, Turkey

Puni tekst: engleski, pdf (891 KB) str. 183-187 preuzimanja: 261* citiraj
APA 6th Edition
Akgun, O., Akan, A., Demir, H. i Akinci, T.C. (2018). Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks. Tehnički vjesnik, 25 (Supplement 1), 183-187. https://doi.org/10.17559/TV-20160914144554
MLA 8th Edition
Akgun, Omer, et al. "Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks." Tehnički vjesnik, vol. 25, br. Supplement 1, 2018, str. 183-187. https://doi.org/10.17559/TV-20160914144554. Citirano 23.07.2019.
Chicago 17th Edition
Akgun, Omer, Aydin Akan, Hasan Demir i Tahir Cetin Akinci. "Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks." Tehnički vjesnik 25, br. Supplement 1 (2018): 183-187. https://doi.org/10.17559/TV-20160914144554
Harvard
Akgun, O., et al. (2018). 'Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks', Tehnički vjesnik, 25(Supplement 1), str. 183-187. https://doi.org/10.17559/TV-20160914144554
Vancouver
Akgun O, Akan A, Demir H, Akinci TC. Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks. Tehnički vjesnik [Internet]. 2018 [pristupljeno 23.07.2019.];25(Supplement 1):183-187. https://doi.org/10.17559/TV-20160914144554
IEEE
O. Akgun, A. Akan, H. Demir i T.C. Akinci, "Analysis of Gait Dynamics of ALS Disease and Classification of Artificial Neural Networks", Tehnički vjesnik, vol.25, br. Supplement 1, str. 183-187, 2018. [Online]. https://doi.org/10.17559/TV-20160914144554

Sažetak
In this study, a gait device was used for gathering data. A group comprising control group and ALS patients was requested to walk using this device. Gait signals of the control group individuals and ALS patients taken from their left feet were recorded by means of the sensors sensitive to the force which was placed to the device. Spectral and statistical analyses of these signals were made. The results obtained from these analyses were used for making classification with Artificial Neural Network. In consequence of the classification, the individuals with ALS disease were diagnosed accurately with an average rate of 82 %. In the study, the signals taken from left foot of 14 normal individuals and 13 ALS patients were analyzed.

Ključne riječi
ALS Disease; Artificial Neural Nets; Gait Dynamics Analysis; Piezo Electric Sensors; Sound and Vibration

Hrčak ID: 200616

URI
https://hrcak.srce.hr/200616

Posjeta: 405 *