Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2017, , 1 - 4, 24.09.2017
https://doi.org/10.18100/ijamec.2017SpecialIssue30460

Öz

Kaynakça

  • R. Barea, L. Boquete, M. Mazo, E. López, “System for assisted mobility using eye movements based on electrooculography,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002, 10(4), 209-218.
  • A. R. Kherlopian, J. P. Gerrein, M. Yue, K. E. Kim, J.W. Kim, M. Sukumaran, P. Sajda, “Electrooculogram based system for computer control using a multiple feature classification model,” In Engineering in Medicine and Biology Society, 2006, pp. 1295-1298.
  • H. S. Dhillon, R. Singla, N. S. Rekhi, R. Jha, “EOG and EMG based virtual keyboard: A brain-computer interface,” In Computer Science and Information Technology, 2009, pp. 259-262.
  • A. Bulling, D. Roggen, G. Tröster, “Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments,” Journal of Ambient Intelligence and Smart Environments, 2009, 1(2), 157-171.
  • M. Yan, H. Tamura, K. Tanno, “Development of mouse cursor control system using electrooculogram signals and its applications in revised hasegawa dementia scale task,” In World Automation Congress (WAC), 2012, pp. 1-6.
  • A. Ayvaz, G. Ertaş, “Design of an EOG Based Electronic Circuit to Control Actuators,” National Congress of Medical Technology’14, Turkey, 2014, 22-25.
  • S. Gürkan, P. A. Öner, A. İstanbullu, S. Doğan, “Designing a Portable Data Acquisition System for Human-Computer Interface Applications,” National Congress of Medical Technology’15, Turkey, 2015, 165-168.
  • S. Gürkan, G. Gürkan, A. Kaya, A. B. Uşaklı, “A Novel Eye-Blınk Based Easy Communıcatıon Devıce for Amyotrophıc Lateral Sclerosıs Patıents: Eyepad®,” 2015.
  • C. Mondal, M. K. Azam, M. Ahmad, S.K. Hasan, M.R. Islam, “Design and implementation of a prototype electrooculography based data acquisition system,” In Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on, pp. 1-6.
  • H. Tamura, M. Yan, K. Sakurai, K. Tanno, “EOG-sEMG Human Interface for Communication,” Computational Intelligence and Neuroscience, 2016.
  • Ministry of Health and its Affiliates Implementing Regulation On The Presentation of Home Health Care Services, 27.02.2015.
  • M. Yılmaz, F. Sametoğlu, G. Akmeşe, A. Tak, B. Yağbasan, S. Gökçay, S. Erdem, “In-Home Health Services as an Alternative Form of Presentation of Patient Care,” Istanbul Med Journal, 2010.
  • F. Koç and E. Tan, “Amyotrophic Lateral Sclerosis,” TND Neuromuscular Diseases Scientific Working Group.

Design and Acquisition of EOG Based Interactive Communications for ALS Patients

Yıl 2017, , 1 - 4, 24.09.2017
https://doi.org/10.18100/ijamec.2017SpecialIssue30460

Öz

Amyotrophic lateral sclerosis (ALS) is a motor neuron disease caused by loss of function of spinal cord and brain stem nerve cells. Loss of function in nerve cells leads to weakness and explosion (atrophy) in the muscles. The outcome of the weakness in the muscles needs the help of someone. Despite the limitations of the movement, studies on methods of increasing the daily quality of life ALS patients are continuing. Electrooculogram (EOG) signals were taken from an instrumentation amplifier with 48dB gain and 107dB CMMR ratio. A 16Hz Low Pass Filter and a 50Hz Notch Filter were used to increase the signal to noise ratio. EOG signals are digitized with 10bit resolution ADC and applied to ATmega328 microcontroller. So, the software of microcontroller determines the horizontal and vertical movements of the eye. In this way, the interactive PC software was controlled by the EOG signals. EOG-based interactive software which was developed using the C # programming language has provided to patients' daily requirements, social media accounts etc. The system has been tested on healthy subjects and it has been seen that people can control the software by eye movements. As a result, system will be useful not only for ALS patients, but also for permanent or partially bedridden patient (MS, Hemiplegia, etc.)  groups. And also, while the quality of life in the patients' own habitats is being raised, they will also be able to benefit from health services within the scope of home health services.

Kaynakça

  • R. Barea, L. Boquete, M. Mazo, E. López, “System for assisted mobility using eye movements based on electrooculography,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2002, 10(4), 209-218.
  • A. R. Kherlopian, J. P. Gerrein, M. Yue, K. E. Kim, J.W. Kim, M. Sukumaran, P. Sajda, “Electrooculogram based system for computer control using a multiple feature classification model,” In Engineering in Medicine and Biology Society, 2006, pp. 1295-1298.
  • H. S. Dhillon, R. Singla, N. S. Rekhi, R. Jha, “EOG and EMG based virtual keyboard: A brain-computer interface,” In Computer Science and Information Technology, 2009, pp. 259-262.
  • A. Bulling, D. Roggen, G. Tröster, “Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments,” Journal of Ambient Intelligence and Smart Environments, 2009, 1(2), 157-171.
  • M. Yan, H. Tamura, K. Tanno, “Development of mouse cursor control system using electrooculogram signals and its applications in revised hasegawa dementia scale task,” In World Automation Congress (WAC), 2012, pp. 1-6.
  • A. Ayvaz, G. Ertaş, “Design of an EOG Based Electronic Circuit to Control Actuators,” National Congress of Medical Technology’14, Turkey, 2014, 22-25.
  • S. Gürkan, P. A. Öner, A. İstanbullu, S. Doğan, “Designing a Portable Data Acquisition System for Human-Computer Interface Applications,” National Congress of Medical Technology’15, Turkey, 2015, 165-168.
  • S. Gürkan, G. Gürkan, A. Kaya, A. B. Uşaklı, “A Novel Eye-Blınk Based Easy Communıcatıon Devıce for Amyotrophıc Lateral Sclerosıs Patıents: Eyepad®,” 2015.
  • C. Mondal, M. K. Azam, M. Ahmad, S.K. Hasan, M.R. Islam, “Design and implementation of a prototype electrooculography based data acquisition system,” In Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on, pp. 1-6.
  • H. Tamura, M. Yan, K. Sakurai, K. Tanno, “EOG-sEMG Human Interface for Communication,” Computational Intelligence and Neuroscience, 2016.
  • Ministry of Health and its Affiliates Implementing Regulation On The Presentation of Home Health Care Services, 27.02.2015.
  • M. Yılmaz, F. Sametoğlu, G. Akmeşe, A. Tak, B. Yağbasan, S. Gökçay, S. Erdem, “In-Home Health Services as an Alternative Form of Presentation of Patient Care,” Istanbul Med Journal, 2010.
  • F. Koç and E. Tan, “Amyotrophic Lateral Sclerosis,” TND Neuromuscular Diseases Scientific Working Group.
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Article
Yazarlar

Nese Ozkan Bu kişi benim

Ali Işık Bu kişi benim

Ugur Fidan Bu kişi benim

Yayımlanma Tarihi 24 Eylül 2017
Yayımlandığı Sayı Yıl 2017

Kaynak Göster

APA Ozkan, N., Işık, A., & Fidan, U. (2017). Design and Acquisition of EOG Based Interactive Communications for ALS Patients. International Journal of Applied Mathematics Electronics and Computers(Special Issue-1), 1-4. https://doi.org/10.18100/ijamec.2017SpecialIssue30460
AMA Ozkan N, Işık A, Fidan U. Design and Acquisition of EOG Based Interactive Communications for ALS Patients. International Journal of Applied Mathematics Electronics and Computers. Eylül 2017;(Special Issue-1):1-4. doi:10.18100/ijamec.2017SpecialIssue30460
Chicago Ozkan, Nese, Ali Işık, ve Ugur Fidan. “Design and Acquisition of EOG Based Interactive Communications for ALS Patients”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1 (Eylül 2017): 1-4. https://doi.org/10.18100/ijamec.2017SpecialIssue30460.
EndNote Ozkan N, Işık A, Fidan U (01 Eylül 2017) Design and Acquisition of EOG Based Interactive Communications for ALS Patients. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 1–4.
IEEE N. Ozkan, A. Işık, ve U. Fidan, “Design and Acquisition of EOG Based Interactive Communications for ALS Patients”, International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, ss. 1–4, Eylül 2017, doi: 10.18100/ijamec.2017SpecialIssue30460.
ISNAD Ozkan, Nese vd. “Design and Acquisition of EOG Based Interactive Communications for ALS Patients”. International Journal of Applied Mathematics Electronics and Computers Special Issue-1 (Eylül 2017), 1-4. https://doi.org/10.18100/ijamec.2017SpecialIssue30460.
JAMA Ozkan N, Işık A, Fidan U. Design and Acquisition of EOG Based Interactive Communications for ALS Patients. International Journal of Applied Mathematics Electronics and Computers. 2017;:1–4.
MLA Ozkan, Nese vd. “Design and Acquisition of EOG Based Interactive Communications for ALS Patients”. International Journal of Applied Mathematics Electronics and Computers, sy. Special Issue-1, 2017, ss. 1-4, doi:10.18100/ijamec.2017SpecialIssue30460.
Vancouver Ozkan N, Işık A, Fidan U. Design and Acquisition of EOG Based Interactive Communications for ALS Patients. International Journal of Applied Mathematics Electronics and Computers. 2017(Special Issue-1):1-4.