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물리치료 바이오피드백의 정의 및 범위와 활용법: 체계적 문헌고찰

Definition, Scope, and Applications of Physiotherapy Biofeedback: Systematic Reviews

  • 오종선 (선문대학교 물리치료학과 일반대학원) ;
  • 이경진 (선문대학교 물리치료학과 일반대학원) ;
  • 김성길 (선문대학교 물리치료학과)
  • Jong-Seon Oh (Department of Physical Therapy, General Graduate School, Sunmoon University ) ;
  • Kyung-Jin Lee (Department of Physical Therapy, General Graduate School, Sunmoon University ) ;
  • Seong-Gil Kim (Department of Physical Therapy, Sunmoon University)
  • 투고 : 2023.10.12
  • 심사 : 2023.11.05
  • 발행 : 2023.11.30

초록

PURPOSE: The definition and scope of biofeedback are broad and lack a clear framework. Therefore, efforts are needed to clearly understand the exact range and definition of biofeedback based on the research and development conducted to date. Thus, the purpose of this study was to arrive at the definition and scope of biofeedback through a literature review and analysis of its application methods. METHODS: This study is a systematic literature review conducted to understand the various types and effects of biofeedback. International databases such as Google Scholar and PubMed were used. Domestic databases utilized for keyword searches included the Research Information Sharing Service (RISS) and the National Digital Science Library (NDSL). Quality assessment of the selected studies in the selection process was done using the Cochrane risk of bias, and the research was analyzed according to the population, intervention, control, and outcomes (PICO) format. RESULTS: Studies conducted between 2019 and 2021 were selected, with 4 papers falling under physiological classifications and 7 under biomechanical classifications. The quality assessment results showed that random sequence generation, allocation concealment, performance bias, and reporting bias were unclear. Detection bias was moderate, and attrition bias and other biases were low. Out of the 11 papers, 9 dealt with physical function outcomes, 5 with daily life activities, and 3 with mental functions. CONCLUSION: Physiological biofeedback tended to influence psychological factors more than physical functions, while biomechanical biofeedback tended to have a positive impact on physical functions.

키워드

참고문헌

  1. Gartha IV. What is biofeedback?. Can Fam Physician. 1976;22:105-6. 
  2. Hagen S, Elders A, Stratton S et al. Effectiveness of pelvic floor muscle training with and without electromyographic biofeedback for urinary incontinence in women: multicentre randomised controlled trial. BMJ. 2020;371:m3719. 
  3. Kwong E, Ng KK, Leung M et al. Application of ultrasound biofeedback to the learning of the mendelsohn maneuver in non-dysphagic adults: A pilot study. Dysphagia. 2021;36:650-8.  https://doi.org/10.1007/s00455-020-10179-y
  4. Blum J, Rockstroh C, Goritz AS. Heart rate variability biofeedback based on slow-paced breathing with immersive virtual reality nature scenery. Front Psychol. 2019;10:2172. 
  5. Rockstroh C, Blum J, Goritz AS. A mobile VR-based respiratory biofeedback game to foster diaphragmatic breathing. Virtual Real. 2021;25:539-52.  https://doi.org/10.1007/s10055-020-00471-5
  6. Zhang M, You H, Zhang H et al. Effects of visual feedback balance training with the pro-kin system on walking and self-care abilities in stroke patients. Medicine (Baltimore). 2020;99(39): e22425. 
  7. Hyun S, Lee J, Lee B. The effects of sit-to-stand training combined with real-time visual feedback on strength, balance, gait ability, and quality of life in patients with stroke: A randomized controlled trial. Int J Environ Res Public Health. 2021;18(22):12229. 
  8. Backer HC, Wu CH, Schulz MR et al. App-based rehabilitation program after total knee arthroplasty: a randomized controlled trial. Arch Orthop Trauma Surg. 2021:1-8. 
  9. Lee E, Lee S. Impact of cervical sensory feedback for forward head posture on headache severity and physiological factors in patients with tension-type headache: A randomized, single-blind, controlled trial. Med Sci Monit. 2019;25:9572. 
  10. Cordella F, di Luzio FS, Lauretti C et al. A biofeedback-based posture correction system for working environments. IEEE. 2019:405-9. 
  11. Boocock M, Naude Y, Taylor S et al. Influencing lumbar posture through real-time biofeedback and its effects on the kinematics and kinetics of a repetitive lifting task. Gait Posture. 2019;73:93-100.  https://doi.org/10.1016/j.gaitpost.2019.07.127
  12. Diekfuss JA, Grooms DR, Bonnette S et al. Real-time biofeedback integrated into neuromuscular training reduces high-risk knee biomechanics and increases functional brain connectivity: a preliminary longitudinal investigation. Psychophysiology. 2020;57(5):e13545. 
  13. Giggins OM, Persson UM, Caulfield B. Biofeedback in rehabilitation. J Neuroeng Rehabil. 2013;10:1-11.  https://doi.org/10.1186/1743-0003-10-1
  14. Lalanza JF, Lorente S, Bullich R et al. Methods for heart rate variability biofeedback (HRVB): A systematic review and guidelines. Appl Psychophysiol Biofeedback. 2023:1-23. 
  15. Yu B, Funk M, Hu J et al. Biofeedback for everyday stress management: a systematic review. Front ICT. 2018;5:23. 
  16. Kondo K, Noonan KM, Freeman M et al. Efficacy of biofeedback for medical conditions: An evidence map. J Gen Intern Med. 2019;34:2883-93.  https://doi.org/10.1007/s11606-019-05215-z
  17. Jimenez Morgan S, Molina Mora JA. Effect of heart rate variability biofeedback on sport performance, a systematic review. Appl Psychophysiol Biofeedback. 2017;42:235-45.  https://doi.org/10.1007/s10484-017-9364-2
  18. Bonnette S, DiCesare CA, Kiefer AW et al. A technical report on the development of a real-time visual biofeedback system to optimize motor learning and movement deficit correction. J Sports Sci Med. 2020;19(1):84. 
  19. De Biase M, Politti F, Palomari ET et al. Increased EMG response following electromyographic biofeedback treatment of rectus femoris muscle after spinal cord injury. Phys Ther. 2011;97(2):175-9.  https://doi.org/10.1016/j.physio.2010.05.005
  20. Gutierrez A, Sepulveda-Munoz D, Gil-Agudo A et al. Serious game platform with haptic feedback and EMG monitoring for upper limb rehabilitation and smoothness quantification on spinal cord injury patients. Appl. Sci. 2020;10(3):963. 
  21. Franco G. Commentary: Work-related musculoskeletal disorders: A lesson from the past. J. Epidemiol. 2010;21(4):577-9.  https://doi.org/10.1097/EDE.0b013e3181e0c6f4
  22. Cerqueira SM, Da Silva AF, Santos CP. Smart vest for real-time postural biofeedback and ergonomic risk assessment. IEEE Access. 2020;8:107583-92.  https://doi.org/10.1109/ACCESS.2020.3000673
  23. Summers K, Jinnett K, Bevan S. Musculoskeletal disorders, workforce health and productivity in the united states. London, The center for workforced health and performance. 2015. 
  24. Ibrahim AA, Kuderle A, Gassner H et al. Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis. J Neuroeng Rehabil. 2020;17(1):1-9.  https://doi.org/10.1186/s12984-019-0634-5
  25. Manivasagam K, Yang L. Evaluation of a new simplified inertial sensor method against electrogoniometer for measuring wrist motion in occupational studies. Sensors. 2022;22(4):1690. 
  26. Gillinov S, Etiwy M, Wang R et al. Variable accuracy of wearable heart rate monitors during aerobic exercise. Med Sci Sports Exerc. 2017;49(8):1697-703.  https://doi.org/10.1249/MSS.0000000000001284
  27. Kim SY, Park DA, Seo HJ et al. Methodology for health technology assessment: systematic review. Korea. NECA. 2020. 
  28. Duarte-Moreira RJ, Castro KV, Luz-Santos C et al. Electromyographic biofeedback in motor function recovery after peripheral nerve injury: An integrative review of the literature. Appl Psychophysiol Biofeedback. 2018;43:247-57.  https://doi.org/10.1007/s10484-018-9403-7
  29. Hruby LA, Sturma A, Aszmann OC. Surface electromyographic biofeedback as a rehabilitation tool for patients with global brachial plexus injury receiving bionic reconstruction. JoVE. 2019;151:e59839. 
  30. Meldrum D, Cahalane E, Conroy R et al. Maximum voluntary isometric contraction: Reference values and clinical application. Amyotrophic Lat Scler. 2007;8(1):47-55.  https://doi.org/10.1080/17482960601012491
  31. Escamilla RF, Andrews JR. Shoulder muscle recruitment patterns and related biomechanics during upper extremity sports. Sports Med. 2009;39:569-90.  https://doi.org/10.2165/00007256-200939070-00004
  32. Gamez AB, Hernandez Morante JJ, Martinez Gil JL et al. The effect of surface electromyography biofeedback on the activity of extensor and dorsiflexor muscles in elderly adults: A randomized trial. Sci Rep. 2019;9(1):13153. 
  33. Huang Q, Zeng Z. A review on real-time 3D ultrasound imaging technology. Biomed Res Int. 2017;2017:20. 
  34. Ter HG. Therapeutic ultrasound. Eur J Ultrasound. 1999;9(1):3-9.  https://doi.org/10.1016/S0929-8266(99)00013-0
  35. Lehrer PM, Gevirtz R. Heart rate variability biofeedback: How and why does it work?. Front Psychol. 2014:756. 
  36. Ebben MR, Kurbatov V, Pollak CP. Moderating laboratory adaptation with the use of a heart-rate variability biofeedback device (StressEraser®). Appl Psychophysiol Biofeedback. 2009;34:245-9.  https://doi.org/10.1007/s10484-009-9086-1
  37. Corrado J, Halpin S, Preston N et al. HEART rate variability biofeedback for long COVID symptoms (HEARTLOC): Protocol for a feasibility study. BMJ open. 2022;12(11):e066044. 
  38. Goessl VC, Curtiss JE, Hofmann SG. The effect of heart rate variability biofeedback training on stress and anxiety: A meta-analysis. Psychol Med. 2017;47(15):2578-86.  https://doi.org/10.1017/S0033291717001003
  39. Prinsloo GE, Rauch HL, Lambert MI et al. The effect of short duration heart rate variability (HRV) biofeedback on cognitive performance during laboratory induced cognitive stress. Appl Cogn Psychol. 2011;25(5):792-801.  https://doi.org/10.1002/acp.1750
  40. Purwandini SA, Abdul WMN, Mat ZN. Resonant breathing biofeedback training for stress reduction among manufacturing operators. Int J Occup Saf Ergonomics. 2012;18(4):549-61.  https://doi.org/10.1080/10803548.2012.11076959
  41. Brammer JC, Van Peer JM, Michela A et al. Breathing biofeedback for police officers in a stressful virtual environment: challenges and opportunities. Front Psychol. 2021;12:586553. 
  42. Nelson LA. The role of biofeedback in stroke rehabilitation: past and future directions. Top Stroke Rehabil. 2007;14(4):59-66.  https://doi.org/10.1310/tsr1404-59
  43. Paula LPO, Oliveira RR, Costa LOP et al. Measurement properties of the pressure biofeedback unit in the evaluation of transversus abdominis muscle activity: a systematic review. Physiotherapy. 2011;97(2):100-6.  https://doi.org/10.1016/j.physio.2010.08.004
  44. Ahmad N, Ghazilla RAR, Khairi NM et al. Reviews on various inertial measurement unit (IMU) sensor applications. Int. J. Signal Process. Syst. 2013;1(2):256-62.  https://doi.org/10.12720/ijsps.1.2.256-262
  45. Bowman T, Gervasoni E, Arienti C et al. Wearable devices for biofeedback rehabilitation: A systematic review and meta-analysis to design application rules and estimate the effectiveness on balance and gait outcomes in neurological diseases. Sensors. 2021;21(10):3444. 
  46. Kiefer AW, Kushner AM, Groene J et al. A commentary on real-time biofeedback to augment neuromuscular training for ACL injury prevention in adolescent athletes. J Sports Sci Med. 2015;14(1):1.