Research Article
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EMG sinyalleri ile mobil robotun kablosuz kontrolü

Year 2017, Volume: 23 Issue: 5, 497 - 503, 20.10.2017

Abstract

Kasların
elektriksel aktivitelerinin ölçülmesine elektromiyografi (EMG) denir. Klinik
tedavi süreçlerinde ve biyomedikal araştırmalarda kullanılmaktadır. Bu
çalışmada önkol kasları üzerinden elde edilen yüzey EMG sinyalleri kullanılarak
bir mobil robotun kablosuz kontrolü gerçekleştirilmiştir. Üç kanaldan eş
zamanlı olarak alınan EMG sinyalleri sayısal filtrelerle işlenmiş, kablosuz
ortam üzerinden mobil robot kontrol devresine aktarılmıştır. Kontrol devresi,
el-bilek hareketlerinden elde edilen işlenmiş veriler ile mobil robotun yön ve
hız kontrolünü gerçekleştirmektedir. Son olarak kullanılan sayısal filtrelere
ait frekans cevapları ve işlenmiş EMG sinyallerine ait zaman grafikleri çalışma
içerisinde verilmiştir.

References

  • Palaniappan R. Biological Signal Analysis. Denmark, Ventus Publishing, 2010.
  • Hermstadt G, Menon C. “Voluntary-driven elbow orthosis with speed-controlled tremor suppression”. Frontiers in Bioengineering and Biotechnology, 4(29), 1-10, 2016.
  • Edeer D, Martin CW. Upper Limp Prosthesis-A Review of the literature with a focus on myoelectric hands. Canada, British Columbia, WorkSafeBC, Clinical Services, Worker and Employer Services, 2011.
  • McCrimmon CM, King CE, Wang PT, Cramer SC, Nenadic Z, Do AH. “Brain-controlled functional electrical stimulation therapy for gait rehabilitation after stroke: A safety study”. Journal of Neuroengineering and Rehabilitation. 12(57), 1-12, 2015.
  • Gopura RARC, Bandara DSV, Gunasekara JMP, Jayawardane TSS. “Recent trends in EMG-Based control methods for assistive robots”. Electrodiagnosis in New Frontiers of Clinical Research, Intech, 237-268, 2013.
  • Recent Maciejasz P, Eschweiler J, Gerlach-Hahn K, Jansen-Troy A, Leonhardt S. “A survey on robotic devices for upper limb rehabilitation”. Journal of Neuroengineering and Rehabilitation. 11(3), 2-10, 2014.
  • Webster JG. Medical Instrumentation: Application and Design. 3rd ed. New York, USA, Wiley, 1998.
  • Güven M. “Biyopotansiyeller ve ölçüm cihazları”. Arşiv Kaynak Tarama Dergisi, 21(3), 174-188, 2012.
  • Merletti R, Parker PA. Electromyography-Physiology, Engineering, Noninvasive Applications. New York, USA, Wiley-IEEE Press, 2004.
  • Vavrinsky E, Daricek M, Rendek K, Horinek F. “Design of EMG wireless sensor system”. International Conference on Applied Electronics, Plzen, Czech Republic, 5-7 September 2012.
  • Kundu AS, Mazumder O, Bhaumik S. “Design of wearable, low power, single supply surface EMG extractor unit for wireless monitoring”. International Conference on Nanotechnology and Biosensors, Dubai, UAE, 28-30 December 2011.
  • Supuk TG, Skelin AK, Cic M. “Design, development and testing of a low-cost sEMG system and its use in recording muscle activity in human gait”. Sensors, 14(5), 8235-8258, 2014.
  • Youn W, Kim J. “Development of a compact-size and wireless surface EMG measurement system”. ICROS-SICE International Joint Conference, Japan, 18-21 August 2009.
  • Wang J, Tang L, Bronlund JE. “Surface EMG signal amplification and filtering”. International Journal of Computer Application, 82(1), 15-19, 2013.
  • Jamaluddin FN, Ahmad SA, Noor SBN, Hasan WZW. “Low cost and wearable multichannel surface electromyography data acquisition system architecture”. Journal of Engineering Science and Technology, 9(SAES2013), 98-106, 2014.
  • Shinde CP. “Design of myoelectric prosthetic arm”. International Journal of Advanced Science, Engineering and Technology, 1(1), 21-25, 2012.
  • BreakingMuscle. “Muscles of the Forearm”. http://breakingmuscle.com/strength-conditioning/more-insight-into-developing-grip-strength-your-hand-digits (10.08.2016).
  • De Luca CJ. “The use of surface electromyography in Biomechanics”. Journal of Applied Biomechanics, 13(2), 135-163, 1997.
  • Konrad P. The ABC of EMG-A Practical Introduction to Kinesiological Electromyography. USA, Noracson Inc., 2005.
  • Kamruddin NA, Khalid PI, Shaameri AZ. “The Use of Surface Electromyography in Muscle Fatique Assestments-A Review”. Jurnal Teknologi of Universiti Teknologi Malaysia, 74(6), 119-124, 2015.

Wireless control of mobile robot with EMG signals

Year 2017, Volume: 23 Issue: 5, 497 - 503, 20.10.2017

Abstract

Electromyography
(EMG) is the measurement of electrical activities of muscles. It is used for clinical
health processes and biomedical researches. In this study, control of a mobile
robot is performed by using EMG signals obtained from forearm muscles. EMG
signals simultaneously obtained from three channel are processed with digital
filter and transferred to mobile robot control circuit via wireless way. Control
circuit using processed signals obtained from hand-elbow movements performs
direction and velocity control of the mobile robot. Finally, frequency
responses of digital filters and time graphs of processed EMG signals are given
in the study.

References

  • Palaniappan R. Biological Signal Analysis. Denmark, Ventus Publishing, 2010.
  • Hermstadt G, Menon C. “Voluntary-driven elbow orthosis with speed-controlled tremor suppression”. Frontiers in Bioengineering and Biotechnology, 4(29), 1-10, 2016.
  • Edeer D, Martin CW. Upper Limp Prosthesis-A Review of the literature with a focus on myoelectric hands. Canada, British Columbia, WorkSafeBC, Clinical Services, Worker and Employer Services, 2011.
  • McCrimmon CM, King CE, Wang PT, Cramer SC, Nenadic Z, Do AH. “Brain-controlled functional electrical stimulation therapy for gait rehabilitation after stroke: A safety study”. Journal of Neuroengineering and Rehabilitation. 12(57), 1-12, 2015.
  • Gopura RARC, Bandara DSV, Gunasekara JMP, Jayawardane TSS. “Recent trends in EMG-Based control methods for assistive robots”. Electrodiagnosis in New Frontiers of Clinical Research, Intech, 237-268, 2013.
  • Recent Maciejasz P, Eschweiler J, Gerlach-Hahn K, Jansen-Troy A, Leonhardt S. “A survey on robotic devices for upper limb rehabilitation”. Journal of Neuroengineering and Rehabilitation. 11(3), 2-10, 2014.
  • Webster JG. Medical Instrumentation: Application and Design. 3rd ed. New York, USA, Wiley, 1998.
  • Güven M. “Biyopotansiyeller ve ölçüm cihazları”. Arşiv Kaynak Tarama Dergisi, 21(3), 174-188, 2012.
  • Merletti R, Parker PA. Electromyography-Physiology, Engineering, Noninvasive Applications. New York, USA, Wiley-IEEE Press, 2004.
  • Vavrinsky E, Daricek M, Rendek K, Horinek F. “Design of EMG wireless sensor system”. International Conference on Applied Electronics, Plzen, Czech Republic, 5-7 September 2012.
  • Kundu AS, Mazumder O, Bhaumik S. “Design of wearable, low power, single supply surface EMG extractor unit for wireless monitoring”. International Conference on Nanotechnology and Biosensors, Dubai, UAE, 28-30 December 2011.
  • Supuk TG, Skelin AK, Cic M. “Design, development and testing of a low-cost sEMG system and its use in recording muscle activity in human gait”. Sensors, 14(5), 8235-8258, 2014.
  • Youn W, Kim J. “Development of a compact-size and wireless surface EMG measurement system”. ICROS-SICE International Joint Conference, Japan, 18-21 August 2009.
  • Wang J, Tang L, Bronlund JE. “Surface EMG signal amplification and filtering”. International Journal of Computer Application, 82(1), 15-19, 2013.
  • Jamaluddin FN, Ahmad SA, Noor SBN, Hasan WZW. “Low cost and wearable multichannel surface electromyography data acquisition system architecture”. Journal of Engineering Science and Technology, 9(SAES2013), 98-106, 2014.
  • Shinde CP. “Design of myoelectric prosthetic arm”. International Journal of Advanced Science, Engineering and Technology, 1(1), 21-25, 2012.
  • BreakingMuscle. “Muscles of the Forearm”. http://breakingmuscle.com/strength-conditioning/more-insight-into-developing-grip-strength-your-hand-digits (10.08.2016).
  • De Luca CJ. “The use of surface electromyography in Biomechanics”. Journal of Applied Biomechanics, 13(2), 135-163, 1997.
  • Konrad P. The ABC of EMG-A Practical Introduction to Kinesiological Electromyography. USA, Noracson Inc., 2005.
  • Kamruddin NA, Khalid PI, Shaameri AZ. “The Use of Surface Electromyography in Muscle Fatique Assestments-A Review”. Jurnal Teknologi of Universiti Teknologi Malaysia, 74(6), 119-124, 2015.
There are 20 citations in total.

Details

Subjects Engineering
Journal Section Research Article
Authors

Serdar Küçük

Umut Mayetin

Publication Date October 20, 2017
Published in Issue Year 2017 Volume: 23 Issue: 5

Cite

APA Küçük, S., & Mayetin, U. (2017). EMG sinyalleri ile mobil robotun kablosuz kontrolü. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 23(5), 497-503.
AMA Küçük S, Mayetin U. EMG sinyalleri ile mobil robotun kablosuz kontrolü. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. October 2017;23(5):497-503.
Chicago Küçük, Serdar, and Umut Mayetin. “EMG Sinyalleri Ile Mobil Robotun Kablosuz Kontrolü”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 23, no. 5 (October 2017): 497-503.
EndNote Küçük S, Mayetin U (October 1, 2017) EMG sinyalleri ile mobil robotun kablosuz kontrolü. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 23 5 497–503.
IEEE S. Küçük and U. Mayetin, “EMG sinyalleri ile mobil robotun kablosuz kontrolü”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 23, no. 5, pp. 497–503, 2017.
ISNAD Küçük, Serdar - Mayetin, Umut. “EMG Sinyalleri Ile Mobil Robotun Kablosuz Kontrolü”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 23/5 (October 2017), 497-503.
JAMA Küçük S, Mayetin U. EMG sinyalleri ile mobil robotun kablosuz kontrolü. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2017;23:497–503.
MLA Küçük, Serdar and Umut Mayetin. “EMG Sinyalleri Ile Mobil Robotun Kablosuz Kontrolü”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, vol. 23, no. 5, 2017, pp. 497-03.
Vancouver Küçük S, Mayetin U. EMG sinyalleri ile mobil robotun kablosuz kontrolü. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2017;23(5):497-503.





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