DOI QR코드

DOI QR Code

뇌졸중 환자에서 자기력에 의해 유도되는 재활운동기기

Outcome of Rehabilitation Device Driven by Magnetic Force in Stroke Patients

  • 박지우 (원광대학교병원 재활의학과) ;
  • 김민수 (원광대학교병원 재활의학과)
  • Park, Ji-Woo (Department of Rehabilitation Medicine, Wonkwang University School of Medicine) ;
  • Kim, Min-Su (Department of Rehabilitation Medicine, Wonkwang University School of Medicine)
  • 투고 : 2020.09.01
  • 심사 : 2020.10.03
  • 발행 : 2020.11.30

초록

PURPOSE: This study investigates the therapeutic effect of a prototype of a hand rehabilitation device based on magnetic forces. METHODS: Using an electromagnet and permanent magnets, we developed an end effector type device that induces various movements of the finger in accordance with the magnetic field direction. A total of 26 subacute stroke patients were enrolled and assigned to two groups in this randomized controlled trial. The intervention group received 30 minutes hand rehabilitation therapy per day for 4 weeks, using the device developed by us. Conventional physical therapies were conducted equally twice a day, 30 minutes per session, during the same period in both groups. RESULTS: After 4 weeks, rate of the Wolf Motor Function Test as a primary outcome measure showed significant improvement in the intervention group as compared to control group(p = .036). Scores of the Manual Function Test and Fugl-Meyer Assessment of upper limb were also significantly increased in the intervention group as compared to control group(p = .038 and p = .042, respectively). Moreover, the Korean version of Modified Barthel Index tended to improve after subjecting to physical therapy in both groups. CONCLUSION: Our results indicate that the novel hand rehabilitation device developed using a magnetic force, improves the hand motor functions and activities of daily life in subacute stroke patients.

키워드

참고문헌

  1. Langhorne P, Coupar F, Pollock A. Motor recovery after stroke: a systematic review. Lancet Neurol. 2009;8(8):741-54. https://doi.org/10.1016/S1474-4422(09)70150-4
  2. Pollock A, Farmer SE, Brady MC, et al. Interventions for improving upper limb function after stroke. Cochrane Database Syst Rev. 2014;2014(11):Cd010820.
  3. Yue Z, Zhang X, Wang J. Hand Rehabilitation Robotics on Poststroke Motor Recovery. Behav Neurol. 2017;2017:3908135.
  4. Godfrey SB, Holley RJ, Lum PS. Clinical effects of using HEXORR (Hand Exoskeleton Rehabilitation Robot) for movement therapy in stroke rehabilitation. Am J Phys Med Rehabil. 2013;92(11):947-58. https://doi.org/10.1097/PHM.0b013e31829e7a07
  5. Ben-Tzvi P, Ma Z. Sensing and Force-Feedback Exoskeleton (SAFE) Robotic Glove. IEEE Trans Neural Syst Rehabil Eng. 2015;23(6):992-1002. https://doi.org/10.1109/TNSRE.2014.2378171
  6. Ma Z, Ben-Tzvi P, Danoff J. Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove. IEEE Trans Neural Syst Rehabil Eng. 2016;24(12):1323-32. https://doi.org/10.1109/TNSRE.2015.2501748
  7. Chu CY, Patterson RM. Soft robotic devices for hand rehabilitation and assistance: a narrative review. J Neuroeng Rehabil. 2018;15(1):9. https://doi.org/10.1186/s12984-018-0350-6
  8. Radder B, Prange-Lasonder G, Kottink AIR, et al. Feasibility of a wearable soft-robotic glove to support impaired hand function in stroke patients. J Rehabil Med. 2018;50(7):598-606. https://doi.org/10.2340/16501977-2357
  9. Vanoglio F, Bernocchi P, Mule C, et al. Feasibility and efficacy of a robotic device for hand rehabilitation in hemiplegic stroke patients: a randomized pilot controlled study. Clin Rehabil. 2017;31(3):351-60. https://doi.org/10.1177/0269215516642606
  10. Bernocchi P, Mule C, Vanoglio F, et al. Home-based hand rehabilitation with a robotic glove in hemiplegic patients after stroke: a pilot feasibility study. Top Stroke Rehabil. 2018;25(2):114-9. https://doi.org/10.1080/10749357.2017.1389021
  11. Mehrholz J, Pohl M, Platz T, et al. Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database Syst Rev. 2018;9(9):Cd006876.
  12. Colomer C, Noe E, Llorens R. Mirror therapy in chronic stroke survivors with severely impaired upper limb function: a randomized controlled trial. Eur J Phys Rehabil Med. 2016;52(3):271-8.
  13. Hodics TM, Nakatsuka K, Upreti B, et al. Wolf Motor Function Test for characterizing moderate to severe hemiparesis in stroke patients. Arch Phys Med Rehabil. 2012;93(11):1963-7. https://doi.org/10.1016/j.apmr.2012.05.002
  14. Michimata A, Kondo T, Suzukamo Y, et al. The manual function test: norms for 20- to 90-year-olds and effects of age, gender, and hand dominance on dexterity. Tohoku J Exp Med. 2008;214(3):257-67. https://doi.org/10.1620/tjem.214.257
  15. Miyamoto S, Kondo T, Suzukamo Y, et al. Reliability and validity of the Manual Function Test in patients with stroke. Am J Phys Med Rehabil. 2009;88(3):247-55. https://doi.org/10.1097/PHM.0b013e3181951133
  16. Santisteban L, Teremetz M, Bleton JP, et al. Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review. PLoS One. 2016;11(5):e0154792. https://doi.org/10.1371/journal.pone.0154792
  17. Baek IC, Kim MS, Kim SH. A novel nonmechanical finger rehabilitation system based on magnetic force control. J MAGN. 2017;22(1):155-61. https://doi.org/10.4283/JMAG.2017.22.1.155
  18. Mehrholz J, Pohl M, Platz T, et al. Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database Syst Rev. 2015;2015(11):Cd006876.
  19. Rowe JB, Chan V, Ingemanson ML, et al. Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial. Neurorehabil Neural Repair. 2017;31(8):769-80. https://doi.org/10.1177/1545968317721975
  20. Jung HY, Park BK, Shin HS, et al. Development of the Korean Version of Modified Barthel Index (K-MBI): Multi-center Study for Subjects with Stroke. Ann Rehabil Med. 2007;31(3):283-97.