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TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ

Yıl 2023, , 427 - 436, 28.12.2023
https://doi.org/10.34087/cbusbed.1178559

Öz

Amaç: Telerehabilitasyon, rehabilitasyon hizmetlerinin telekominikasyon teknolojisi yardımıyla verilmesidir. Günümüzde telekominikasyon teknolojisinin gelişmesi ve ulaşılabilirliğinin artması ile daha yaygın hale gelmiştir. Son dönemlerde COVID-19 pandemisinin getirdiği sosyal izolasyon ve teknolojinin kullanılmasını zorunlu kılması ile birlikte, fizyoterapistler yeni teknolojileri çeşitli hastalıkların değerlendirmesi ve tedavisine entegre etmeye başlamışlardır. Çalışmamızda telerehabilitasyon uygulamalarıyla ilgili yapılan araştırmalar, telerehabilitasyon araştırma alanın alt alanlarının belirlenmesi ve bu alt alanlardaki değişimlerin zamana göre değişimlerini incelemek amaçlanmıştır.
Materyal-Metod: Telerehabilitasyon araştırma alanının yapısını ve gelişimini ortaya koymak için bu alanda 1990 ile 15 Aralık 2021 tarihleri yayınlanan ve Web of Science veri tabanı tarafından taranan çalışmalar seçilmiştir. Bu çalışmaları elde etmek için “telerehabilitation” anahtar kelime olarak seçilmiş ve Web of Science core collection tarama sayfasında topic kısmı kullanılarak arama gerçekleşmiştir. Verilerin analiz için hazırlanması sürecinde özet ve yayın yılı dışındaki veriler veri kümesinden çıkarılmıştır.
Bulgular: 2000-2021 yılları arasında telerahabilitasyon konusundaki çalışmalar daha çok ABD, Avusturalya, İtalya ve Kanada çalışan araştırmacılar tarafından üretilmiştir. Telerehabilitasyon araştırmalarının yayınlandığı akademik dergilerde ilk sırada International Journal of Telerehabilitation yer almaktadır. Telerehabilitasyonun, 2012 yılından sonra daha fazla ilgi görmeye başladığı görülmektedir ancak en büyük artış 2020 ve 2021 yıllarında gerçekleşmiştir. En çok araştırma yapılan konular ise telerehabilitasyon hizmetleri, inme, kardiyak hastalıklar, hareket sensörleri ve dil konuşma problemlerinde olarak gözlenmiştir.
Sonuç: Telerehabilitasyon günümüzde farklı problemlerde, çeşitli teknolojiler ile eksik yönlerine yönelik çözüm yollarının aranması için çalışmaların artırılması ile hala yaygın olarak literatürde yerini almaktadır. COVID-19 pandemisinin etkisi ile uzaktan erişim sağlayarak erken dönemde transfer engeli olmadan ileri yaş gruplarının da etkin rehabilitasyon almasını sağlaması gibi nedenlerle bu alandaki araştırmalar artmaya devam edebilir.

Kaynakça

  • 1. Piron L, Turolla A, Agostini M, Zucconi C, Cortese F, Zampolini M, et al. Exercises for paretic upper limb after stroke: a combined virtual-reality and telemedicine approach. Journal of rehabilitation medicine. 2009;41(12):1016-102.
  • 2. Putrino D. Telerehabilitation and emerging virtual reality approaches to stroke rehabilitation. Current opinion in neurology. 2014;27(6):631-6.
  • 3. Piron L, Tonin P, Trivello E, Battistin L, Dam M. Motor tele-rehabilitation in post-stroke patients. Medical informatics and the Internet in medicine. 2004;29(2):119-25.
  • 4. Goldschmidt K. The COVID-19 Pandemic: Technology use to Support the Wellbeing of Children. J Pediatr Nurs. 2020;53:88-90.
  • 5. Werneke MW, Deutscher D, Grigsby D, Tucker CA, Mioduski JE, Hayes D. Telerehabilitation During the COVID-19 Pandemic in Outpatient Rehabilitation Settings: A Descriptive Study. Physical therapy. 2021;101(7).
  • 6. Salgueiro C, Urrùtia G, Cabanas-Valdés R. Available apps for stroke telerehabilitation during corona virus disease 2019 confinement in Spain. Disability and rehabilitation Assistive technology. 2021:1-11.
  • 7. Manjunatha H, Pareek S, Jujjavarapu SS, Ghobadi M, Kesavadas T, Esfahani ET. Upper Limb Home-Based Robotic Rehabilitation During COVID-19 Outbreak. 2021;8.
  • 8. Brouwers RWM, van Exel HJ, van Hal JMC, Jorstad HT, de Kluiver EP, Kraaijenhagen RA, et al. Cardiac telerehabilitation as an alternative to centre-based cardiac rehabilitation. Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation. 2020;28(9):443-51.
  • 9. Batalik L, Filakova K, Batalikova K, Dosbaba F. Remotely monitored telerehabilitation for cardiac patients: A review of the current situation. World J Clin Cases. 2020;8(10):1818-31.
  • 10. Subbarao BS, Stokke J, Martin SJ. Telerehabilitation in Acquired Brain Injury. Physical medicine and rehabilitation clinics of North America. 2021;32(2):223-38.
  • 11. Chumbler NR, Quigley P, Li X, Morey M, Rose D, Sanford J, et al. Effects of telerehabilitation on physical function and disability for stroke patients: a randomized, controlled trial. Stroke. 2012;43(8):2168-74.
  • 12. Laver KE, Adey-Wakeling Z, Crotty M, Lannin NA, George S, Sherrington C. Telerehabilitation services for stroke. The Cochrane database of systematic reviews. 2020;1(1):Cd010255.
  • 13. Sheetal M, Preeti M, Rekha K, Divya S, Ashutosh M, Dhananjay R. Telerehabilitation for musculoskeletal disorders during the COVID-19 pandemic. International Journal of Physiotherapy and Research. 2021;9:3765-72.
  • 14. Blei DM, Lafferty JD. Text Mining: Chapmann and Hall/CRC; 2009. 101-24 p.
  • 15. Liu L, Tang L, Dong W, Yao S, Zhou W. An overview of topic modeling and its current applications in bioinformatics. SpringerPlus. 2016;5(1):1608.
  • 16. Grootendorst M. BERTopic: leveraging BERT and c-TF-IDF to create easilyinterpretable topics. 2020.
  • 17. Cooper RA, Fitzgerald S, Boninger ML, Brienza DM, Shapcott N, Cooper RA, et al. Telerehabilitation: Expanding access to rehabilitation expertise. 2001;89:1174-93.
  • 18. Rosen MJ. Telerehabilitation. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2004;10(2):115-7.
  • 19. Barriga A, Conejero JM, Hernández J, Jurado E, Moguel E, Sánchez-Figueroa F. A Vision-Based Approach for Building Telecare and Telerehabilitation Services. Sensors (Basel). 2016;16(10):1724.
  • 20. Celesti A, Celesti F, Fazio M, Villari M, editors. Improving Tele-Rehabilitation Therapy Through Machine Learning with a NoSQL Graph DBMS Approach. 2020 IEEE Globecom Workshops (GC Wkshps; 2020 7-11 Dec. 2020.
  • 21. Richmond T, Peterson C, Cason J, Billings M, Terrell EA, Lee ACW, et al. American Telemedicine Association's Principles for Delivering Telerehabilitation Services. International journal of telerehabilitation. 2017;9(2):63-8.
  • 22. Naeemabadi M, Dinesen B, Andersen OK, Madsen NK, Simonsen OH, Hansen J. Developing a telerehabilitation programme for postoperative recovery from knee surgery: specifications and requirements. BMJ health & care informatics. 2019;26(1).
  • 23. Celesti A, Fazio M, Galán F, Glikson A, Mauwa H, Bagula A, et al. How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt. Journal of Sensor and Actuator Networks. 2019;8:7.
  • 24. Rogante M, Grigioni M, Cordella D, Giacomozzi C. Ten years of telerehabilitation: A literature overview of technologies and clinical applications. NeuroRehabilitation. 2010;27(4):287-304.
  • 25. Antón D, Goñi A, Illarramendi A. Exercise recognition for Kinect-based telerehabilitation. Methods of information in medicine. 2015;54(2):145-55.
  • 26. Sarcevic P, Kincses Z, Pletl S, editors. Comparison of different classifiers in movement recognition using WSN-based wrist-mounted sensors. 2015 IEEE Sensors Applications Symposium (SAS); 2015 13-15 April 2015.
  • 27. Çubukçu B, Yüzgeç U, editors. A physiotherapy application with MS kinect for patients with shoulder joint, muscle and tendon damage. 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN); 2017 16-17 Sept. 2017.
  • 28. Borresen A, Wolfe C, Lin C-K, Tian Y, Raghuraman S, Nahrstedt K, et al. Usability of an Immersive Augmented Reality Based Telerehabilitation System with Haptics (ARTESH) for Synchronous Remote Musculoskeletal Examination. International journal of telerehabilitation. 2019;11(1):23-32.
  • 29. Ramirez C, Meza-Kubo V, García-Canseco E, Moran A, Pabloff O, Bonilla D, et al. Massage Therapy of the Back Using a Real-Time Haptic-Enhanced Telerehabilitation System. Mobile Information Systems. 2017;2017:1-10.
  • 30. Tchero H, Tabue Teguo M, Lannuzel A, Rusch E. Telerehabilitation for Stroke Survivors: Systematic Review and Meta-Analysis. Journal of medical Internet research. 2018;20(10):e10867.
  • 31. Carvalho LP, Décary S, Beaulieu-Boire I, Dostie R, Lalonde I, Texier É, et al. Baduanjin Qigong Intervention by Telerehabilitation (TeleParkinson): A Proof-of-Concept Study in Parkinson's Disease. International journal of environmental research and public health. 2021;18(13).
  • 32. Zasadzka E, Trzmiel T, Pieczyńska A, Hojan K. Modern Technologies in the Rehabilitation of Patients with Multiple Sclerosis and Their Potential Application in Times of COVID-19. Medicina (Kaunas, Lithuania). 2021;57(6).
  • 33. Marquis N, Larivée P, Saey D, Dubois MF, Tousignant M. In-Home Pulmonary Telerehabilitation for Patients with Chronic Obstructive Pulmonary Disease: A Pre-experimental Study on Effectiveness, Satisfaction, and Adherence. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2015;21(11):870-9.
  • 34. Zanaboni P, Hoaas H, Aarøen Lien L, Hjalmarsen A, Wootton R. Long-term exercise maintenance in COPD via telerehabilitation: a two-year pilot study. Journal of telemedicine and telecare. 2017;23(1):74-82.
  • 35. McGill M, Noureal N, Siegel J. Telepractice Treatment of Stuttering: A Systematic Review. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2019;25(5):359-68.
  • 36. Cacciante L, Kiper P, Garzon M, Baldan F, Federico S, Turolla A, et al. Telerehabilitation for people with aphasia: A systematic review and meta-analysis. Journal of communication disorders. 2021;92:106111.
  • 37. Shukla H, Nair SR, Thakker D. Role of telerehabilitation in patients following total knee arthroplasty: Evidence from a systematic literature review and meta-analysis. Journal of telemedicine and telecare. 2017;23(2):339-46.
  • 38. Dias JF, Oliveira VC, Borges PRT, Dutra F, Mancini MC, Kirkwood RN, et al. Effectiveness of exercises by telerehabilitation on pain, physical function and quality of life in people with physical disabilities: a systematic review of randomised controlled trials with GRADE recommendations. British journal of sports medicine. 2021;55(3):155-62.
  • 39. Aguado HJ, Ventura-Wichner PS, Perez-Hickman L, Polo-Pérez I, Alonso-Olmo JA, Bragado M, et al. Patient Satisfaction Using a Home-Based Rehabilitation Protocol for the Non-Surgical Treatment of Proximal Humeral Fractures: A Prospective Longitudinal Cohort Study. Geriatric orthopaedic surgery & rehabilitation. 2021;12:21514593211040293.
  • 40. Leochico CFD, Espiritu AI, Ignacio SD, Mojica JAP. Challenges to the Emergence of Telerehabilitation in a Developing Country: A Systematic Review. 2020;11.
  • 41. Andrenelli E, Negrini F, de Sire A, Arienti C, Patrini M, Negrini S, et al. Systematic rapid living review on rehabilitation needs due to COVID-19: update to May 31st, 2020. European journal of physical and rehabilitation medicine. 2020;56(4):508-14.

INVESTIGATION OF TELEREHABILITATION RESEARCH AREA BY TOPIC MODELLING METHOD

Yıl 2023, , 427 - 436, 28.12.2023
https://doi.org/10.34087/cbusbed.1178559

Öz

Objective: The aim of this study is to examine the heart rate and oxygen saturation values of 12 year old tennis players trained at different altitudes.
Material and Method: For this purpose to Turkey joining the age of 12 tennis tournament which was organized by the Tennis Federation Isparta (n=10), Denizli (n=10) and Antalya (n=10) participated voluntarily total of 30 athletes from the provinces. Body length (cm), body weight (kg), heart rate and SpO2 saturation measurements of athletes participating in the study were taken. The measurements were taken before and after the competition. In the analysis of the obtained data, Repeated Measurements Variance Analysis and Simple Effect test were used in SPSS 20.0 package program. The significance level was accepted as (p<0.05).
Results: As a result of this study, it was determined that the pulse values of the groups were not statistically significant when compared with each other (p>0.5). According to the simple effect result, a statistically significant difference was found between the values of Isparta and Antalya group. In the SpO2 data, it was found that there was no statistically significant difference between groups when comparing the numerical differences between pretest and posttest values of each group (p>0.05). According to the simple effect results, when the numerical difference between the pre- and post-tests of each group is considered, the change of pre-test and post-test values of all groups is statistically significant.
Conclusions: As a result, it has been determined that athletes in the altitude provinces have higher pulse and oxygen saturation values in terms of sportive performance than athletes at lower altitudes due to some acute effects of the altitude at different meters.

Kaynakça

  • 1. Piron L, Turolla A, Agostini M, Zucconi C, Cortese F, Zampolini M, et al. Exercises for paretic upper limb after stroke: a combined virtual-reality and telemedicine approach. Journal of rehabilitation medicine. 2009;41(12):1016-102.
  • 2. Putrino D. Telerehabilitation and emerging virtual reality approaches to stroke rehabilitation. Current opinion in neurology. 2014;27(6):631-6.
  • 3. Piron L, Tonin P, Trivello E, Battistin L, Dam M. Motor tele-rehabilitation in post-stroke patients. Medical informatics and the Internet in medicine. 2004;29(2):119-25.
  • 4. Goldschmidt K. The COVID-19 Pandemic: Technology use to Support the Wellbeing of Children. J Pediatr Nurs. 2020;53:88-90.
  • 5. Werneke MW, Deutscher D, Grigsby D, Tucker CA, Mioduski JE, Hayes D. Telerehabilitation During the COVID-19 Pandemic in Outpatient Rehabilitation Settings: A Descriptive Study. Physical therapy. 2021;101(7).
  • 6. Salgueiro C, Urrùtia G, Cabanas-Valdés R. Available apps for stroke telerehabilitation during corona virus disease 2019 confinement in Spain. Disability and rehabilitation Assistive technology. 2021:1-11.
  • 7. Manjunatha H, Pareek S, Jujjavarapu SS, Ghobadi M, Kesavadas T, Esfahani ET. Upper Limb Home-Based Robotic Rehabilitation During COVID-19 Outbreak. 2021;8.
  • 8. Brouwers RWM, van Exel HJ, van Hal JMC, Jorstad HT, de Kluiver EP, Kraaijenhagen RA, et al. Cardiac telerehabilitation as an alternative to centre-based cardiac rehabilitation. Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation. 2020;28(9):443-51.
  • 9. Batalik L, Filakova K, Batalikova K, Dosbaba F. Remotely monitored telerehabilitation for cardiac patients: A review of the current situation. World J Clin Cases. 2020;8(10):1818-31.
  • 10. Subbarao BS, Stokke J, Martin SJ. Telerehabilitation in Acquired Brain Injury. Physical medicine and rehabilitation clinics of North America. 2021;32(2):223-38.
  • 11. Chumbler NR, Quigley P, Li X, Morey M, Rose D, Sanford J, et al. Effects of telerehabilitation on physical function and disability for stroke patients: a randomized, controlled trial. Stroke. 2012;43(8):2168-74.
  • 12. Laver KE, Adey-Wakeling Z, Crotty M, Lannin NA, George S, Sherrington C. Telerehabilitation services for stroke. The Cochrane database of systematic reviews. 2020;1(1):Cd010255.
  • 13. Sheetal M, Preeti M, Rekha K, Divya S, Ashutosh M, Dhananjay R. Telerehabilitation for musculoskeletal disorders during the COVID-19 pandemic. International Journal of Physiotherapy and Research. 2021;9:3765-72.
  • 14. Blei DM, Lafferty JD. Text Mining: Chapmann and Hall/CRC; 2009. 101-24 p.
  • 15. Liu L, Tang L, Dong W, Yao S, Zhou W. An overview of topic modeling and its current applications in bioinformatics. SpringerPlus. 2016;5(1):1608.
  • 16. Grootendorst M. BERTopic: leveraging BERT and c-TF-IDF to create easilyinterpretable topics. 2020.
  • 17. Cooper RA, Fitzgerald S, Boninger ML, Brienza DM, Shapcott N, Cooper RA, et al. Telerehabilitation: Expanding access to rehabilitation expertise. 2001;89:1174-93.
  • 18. Rosen MJ. Telerehabilitation. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2004;10(2):115-7.
  • 19. Barriga A, Conejero JM, Hernández J, Jurado E, Moguel E, Sánchez-Figueroa F. A Vision-Based Approach for Building Telecare and Telerehabilitation Services. Sensors (Basel). 2016;16(10):1724.
  • 20. Celesti A, Celesti F, Fazio M, Villari M, editors. Improving Tele-Rehabilitation Therapy Through Machine Learning with a NoSQL Graph DBMS Approach. 2020 IEEE Globecom Workshops (GC Wkshps; 2020 7-11 Dec. 2020.
  • 21. Richmond T, Peterson C, Cason J, Billings M, Terrell EA, Lee ACW, et al. American Telemedicine Association's Principles for Delivering Telerehabilitation Services. International journal of telerehabilitation. 2017;9(2):63-8.
  • 22. Naeemabadi M, Dinesen B, Andersen OK, Madsen NK, Simonsen OH, Hansen J. Developing a telerehabilitation programme for postoperative recovery from knee surgery: specifications and requirements. BMJ health & care informatics. 2019;26(1).
  • 23. Celesti A, Fazio M, Galán F, Glikson A, Mauwa H, Bagula A, et al. How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt. Journal of Sensor and Actuator Networks. 2019;8:7.
  • 24. Rogante M, Grigioni M, Cordella D, Giacomozzi C. Ten years of telerehabilitation: A literature overview of technologies and clinical applications. NeuroRehabilitation. 2010;27(4):287-304.
  • 25. Antón D, Goñi A, Illarramendi A. Exercise recognition for Kinect-based telerehabilitation. Methods of information in medicine. 2015;54(2):145-55.
  • 26. Sarcevic P, Kincses Z, Pletl S, editors. Comparison of different classifiers in movement recognition using WSN-based wrist-mounted sensors. 2015 IEEE Sensors Applications Symposium (SAS); 2015 13-15 April 2015.
  • 27. Çubukçu B, Yüzgeç U, editors. A physiotherapy application with MS kinect for patients with shoulder joint, muscle and tendon damage. 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN); 2017 16-17 Sept. 2017.
  • 28. Borresen A, Wolfe C, Lin C-K, Tian Y, Raghuraman S, Nahrstedt K, et al. Usability of an Immersive Augmented Reality Based Telerehabilitation System with Haptics (ARTESH) for Synchronous Remote Musculoskeletal Examination. International journal of telerehabilitation. 2019;11(1):23-32.
  • 29. Ramirez C, Meza-Kubo V, García-Canseco E, Moran A, Pabloff O, Bonilla D, et al. Massage Therapy of the Back Using a Real-Time Haptic-Enhanced Telerehabilitation System. Mobile Information Systems. 2017;2017:1-10.
  • 30. Tchero H, Tabue Teguo M, Lannuzel A, Rusch E. Telerehabilitation for Stroke Survivors: Systematic Review and Meta-Analysis. Journal of medical Internet research. 2018;20(10):e10867.
  • 31. Carvalho LP, Décary S, Beaulieu-Boire I, Dostie R, Lalonde I, Texier É, et al. Baduanjin Qigong Intervention by Telerehabilitation (TeleParkinson): A Proof-of-Concept Study in Parkinson's Disease. International journal of environmental research and public health. 2021;18(13).
  • 32. Zasadzka E, Trzmiel T, Pieczyńska A, Hojan K. Modern Technologies in the Rehabilitation of Patients with Multiple Sclerosis and Their Potential Application in Times of COVID-19. Medicina (Kaunas, Lithuania). 2021;57(6).
  • 33. Marquis N, Larivée P, Saey D, Dubois MF, Tousignant M. In-Home Pulmonary Telerehabilitation for Patients with Chronic Obstructive Pulmonary Disease: A Pre-experimental Study on Effectiveness, Satisfaction, and Adherence. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2015;21(11):870-9.
  • 34. Zanaboni P, Hoaas H, Aarøen Lien L, Hjalmarsen A, Wootton R. Long-term exercise maintenance in COPD via telerehabilitation: a two-year pilot study. Journal of telemedicine and telecare. 2017;23(1):74-82.
  • 35. McGill M, Noureal N, Siegel J. Telepractice Treatment of Stuttering: A Systematic Review. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2019;25(5):359-68.
  • 36. Cacciante L, Kiper P, Garzon M, Baldan F, Federico S, Turolla A, et al. Telerehabilitation for people with aphasia: A systematic review and meta-analysis. Journal of communication disorders. 2021;92:106111.
  • 37. Shukla H, Nair SR, Thakker D. Role of telerehabilitation in patients following total knee arthroplasty: Evidence from a systematic literature review and meta-analysis. Journal of telemedicine and telecare. 2017;23(2):339-46.
  • 38. Dias JF, Oliveira VC, Borges PRT, Dutra F, Mancini MC, Kirkwood RN, et al. Effectiveness of exercises by telerehabilitation on pain, physical function and quality of life in people with physical disabilities: a systematic review of randomised controlled trials with GRADE recommendations. British journal of sports medicine. 2021;55(3):155-62.
  • 39. Aguado HJ, Ventura-Wichner PS, Perez-Hickman L, Polo-Pérez I, Alonso-Olmo JA, Bragado M, et al. Patient Satisfaction Using a Home-Based Rehabilitation Protocol for the Non-Surgical Treatment of Proximal Humeral Fractures: A Prospective Longitudinal Cohort Study. Geriatric orthopaedic surgery & rehabilitation. 2021;12:21514593211040293.
  • 40. Leochico CFD, Espiritu AI, Ignacio SD, Mojica JAP. Challenges to the Emergence of Telerehabilitation in a Developing Country: A Systematic Review. 2020;11.
  • 41. Andrenelli E, Negrini F, de Sire A, Arienti C, Patrini M, Negrini S, et al. Systematic rapid living review on rehabilitation needs due to COVID-19: update to May 31st, 2020. European journal of physical and rehabilitation medicine. 2020;56(4):508-14.
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Kurumları Yönetimi
Bölüm Derleme
Yazarlar

Sinem Yenil 0000-0001-6603-4172

Hüseyin Özçınar 0000-0001-8715-2653

Fatma Nur Altın 0000-0003-3797-8857

Yayımlanma Tarihi 28 Aralık 2023
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Yenil, S., Özçınar, H., & Altın, F. N. (2023). TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, 10(4), 427-436. https://doi.org/10.34087/cbusbed.1178559
AMA Yenil S, Özçınar H, Altın FN. TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ. CBU-SBED. Aralık 2023;10(4):427-436. doi:10.34087/cbusbed.1178559
Chicago Yenil, Sinem, Hüseyin Özçınar, ve Fatma Nur Altın. “TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ”. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 10, sy. 4 (Aralık 2023): 427-36. https://doi.org/10.34087/cbusbed.1178559.
EndNote Yenil S, Özçınar H, Altın FN (01 Aralık 2023) TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 10 4 427–436.
IEEE S. Yenil, H. Özçınar, ve F. N. Altın, “TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ”, CBU-SBED, c. 10, sy. 4, ss. 427–436, 2023, doi: 10.34087/cbusbed.1178559.
ISNAD Yenil, Sinem vd. “TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ”. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 10/4 (Aralık 2023), 427-436. https://doi.org/10.34087/cbusbed.1178559.
JAMA Yenil S, Özçınar H, Altın FN. TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ. CBU-SBED. 2023;10:427–436.
MLA Yenil, Sinem vd. “TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ”. Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, c. 10, sy. 4, 2023, ss. 427-36, doi:10.34087/cbusbed.1178559.
Vancouver Yenil S, Özçınar H, Altın FN. TELEREHABİLİTASYON ARAŞTIRMA ALANININ KONU MODELLEME YÖNTEMİ İLE İNCELENMESİ. CBU-SBED. 2023;10(4):427-36.