Influence of Robot-Assisted Gait Training on Lower-Limb Muscle Activity in Patients With Stroke: Comparison With Conventional Gait Training
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective To measure muscle activity before and after robot-assisted gait training (RAGT) in patients with stroke and examine the differences in muscle activity changes compared with conventional gait training (CGT).Methods Thirty patients with stroke (RAGT group, n=17; CGT group, n=13) participated in the study. All patients underwent RAGT using a footpad locomotion interface or CGT for 20 minutes for a total of 20 sessions. Outcome measures were lower-limb muscle activity and gait speed. Measurements were performed before the start of the intervention and after the end of the 4-week intervention.Results The RAGT group showed increased muscle activity in the gastrocnemius, whereas the CGT group showed high muscle activity in the rectus femoris. In the terminal stance of the gait cycle, the gastrocnemius, the increase in muscle activity was significantly higher in the RAGT group than in the CGT group.Conclusion The results suggest that RAGT with end-effector type is more effective than CGT to increase the gastrocnemius muscle activity.
Abstract
Objective To measure muscle activity before and after robot-assisted gait training (RAGT) in patients with stroke and examine the differences in muscle activity changes compared with conventional gait training (CGT).Methods Thirty patients with stroke (RAGT group, n=17; CGT group, n=13) participated in the study. All patients underwent RAGT using a footpad locomotion interface or CGT for 20 minutes for a total of 20 sessions. Outcome measures were lower-limb muscle activity and gait speed. Measurements were performed before the start of the intervention and after the end of the 4-week intervention.Results The RAGT group showed increased muscle activity in the gastrocnemius, whereas the CGT group showed high muscle activity in the rectus femoris. In the terminal stance of the gait cycle, the gastrocnemius, the increase in muscle activity was significantly higher in the RAGT group than in the CGT group.Conclusion The results suggest that RAGT with end-effector type is more effective than CGT to increase the gastrocnemius muscle activity.
참고문헌 (40)
- Friedman PJ, "Gait recovery after hemiplegic stroke", Int Disabil Stud, 12, pp.119~122 (1990)
- Dobkin BH, "Clinical practice. Rehabilitation after stroke", N Engl J Med, 352, pp.1677~1684 (2005)
- Hesse S, "A mechanized gait trainer for restoration of gait", J Rehabil Res Dev, 37, pp.701~708 (2000)
- Cumming TB, "Very early mobilization after stroke fast-tracks return to walking : further results from the phase II AVERT randomized controlled trial", Stroke, 42, pp.153~158 (2011)
- Buesing C, "Effects of a wearable exoskeleton stride management assist system(SMA®)on spatiotemporal gait characteristics in individuals after stroke : a randomized controlled trial", J Neuroeng Rehabil, 12, pp.69~ (2015)
- Colombo G, "Driven gait orthosis for improvement of locomotor training in paraplegic patients", Spinal Cord, 39, pp.252~255 (2001)
- Jezernik S, "Robotic orthosis lokomat : a rehabilitation and research tool", Neuromodulation, 6, pp.108~115 (2003)
- Husemann B, "Effects of locomotion training with assistance of a robot-driven gait orthosis in hemiparetic patients after stroke : a randomized controlled pilot study", Stroke, 38, pp.349~354 (2007)
- Mayr A, "Prospective, blinded, randomized crossover study of gait rehabilitation in stroke patients using the Lokomat gait orthosis", Neurorehabil Neural Repair, 21, pp.307~314 (2007)
- van Nunen MP, "Recovery of walking ability using a robotic device in subacute stroke patients : a randomized controlled study", Disabil Rehabil Assist Technol, 10, pp.141~148 (2015)
- Yano H, "Development of a gait rehabilitation system using a locomotion interface", J Visual Comput Animat, 14, pp.243~252 (2003)
- Yano H, "Interactive gait rehabilitation system with a locomotion interface for training patients to climb stairs", Presence, 21, pp.16~30 (2012)
- Tanaka N, "Effects of gait rehabilitation with a footpad-type locomotion interface in patients with chronic post-stroke hemiparesis : a pilot study", Clin Rehabil, 26, pp.686~695 (2012)
- Yano H, "Development of a portable gait rehabilitation system for home-visit rehabilitation", ScientificWorldJournal, 2015, pp.849831~ (2015)
- Schwartz I, "The effectiveness of locomotor therapy using robotic-assisted gait training in subacute stroke patients : a randomized controlled trial", PM R, 1, pp.516~523 (2009)
- Tanaka N, "Effect of gait rehabilitation with a footpad-type locomotion interface on gait ability in subacute stroke patients", NeuroRehabilitation, 50, pp.401~407 (2022)
- Molteni F, "Exoskeleton and end-effector robots for upper and lower limbs rehabilitation : narrative review", PM R, 10(9 Suppl 2), pp.S174~S188 (2018)
- Goffredo M, "Stroke gait rehabilitation : a comparison of end-effector, overground exoskeleton, and conventional gait training", Appl Sci, 9, pp.2627~ (2019)
- Lee HJ, "Training for walking efficiency with a wearable hip-assist robot in patients with stroke : a pilot randomized controlled trial", Stroke, 50, pp.3545~3552 (2019)
- Mehrholz J, "Electromechanical-assisted training for walking after stroke", Cochrane Database Syst Rev, 5, pp.CD006185~ (2017)
- Hidler J, "Multicenter randomized clinical trial evaluating the effectiveness of the Lokomat in subacute stroke", Neurorehabil Neural Repair, 23, pp.5~13 (2009)
- Hornby TG, "Enhanced gait-related improvements after therapist-versus robotic-assisted locomotor training in subjects with chronic stroke : a randomized controlled study", Stroke, 39, pp.e143~ (2008)
- Mayr A, "Early robot-assisted gait retraining in non-ambulatory patients with stroke : a single blind randomized controlled trial", Eur J Phys Rehabil Med, 54, pp.819~826 (2018)
- Federici S, "The effectiveness of powered, active lower limb exoskeletons in neurorehabilitation : a systematic review", NeuroRehabilitation, 37, pp.321~340 (2015)
- Hidler JM, "Alterations in muscle activation patterns during robotic-assisted walking", Clin Biomech(Bristol, Avon), 20, pp.184~193 (2005)
- Coenen P, "Robot-assisted walking vs overground walking in stroke patients : an evaluation of muscle activity", J Rehabil Med, 44, pp.331~337 (2012)
- Holden MK, "Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness", Phys Ther, 64, pp.35~40 (1984)
- Chacko KA, "AHA Medical", Scientific Statement : 1994 revisions to classification of functional capacity and objective assessment of patients with diseases of the heart, 1995, pp.92, 2003~2005
- Folstein MF, ""Mini-mental state". A practical method for grading the cognitive state of patients for the clinician", J Psychiatr Res, 12, pp.189~198 (1975)
- Iwata H, "Gait Master : a versatile locomotion interface for uneven virtual terrain", Paper presented at: IEEE Virtual Reality 2001 (2001)
- Yano H, "Gait rehabilitation for stair climbing with a locomotion interface", Paper presented at: 2009 IEEE International Conference on Rehabilitation Robotics (2009)
- Hermens HJ, "Development of recommendations for SEMG sensors and sensor placement procedures", J Electromyogr Kinesiol, 10, pp.361~374 (2000)
- Perry J, "ait analysis: normal and pathological function", pp.4~16 (2010), Slack Incorporated
- Prosser LA, "Comparison of elliptical training, stationary cycling, treadmill walking and overground walking. Electromyographic patterns", Gait Posture, 33, pp.244~250 (2011)
- van Kammen K, "Differences in muscle activity and temporal step parameters between Lokomat guided walking and treadmill walking in post-stroke hemiparetic patients and healthy walkers", J Neuroeng Rehabil, 14, pp.32~ (2017)
- Semaan MB, "Is treadmill walking biomechanically comparable to overground walking? A systematic review", Gait Posture, 92, pp.249~257 (2022)
- Bowden MG, "Anterior-posterior ground reaction forces as a measure of paretic leg contribution in hemiparetic walking", Stroke, 37, pp.872~876 (2006)
- Balasubramanian CK, "Relationship between step length asymmetry and walking performance in subjects with chronic hemiparesis", Arch Phys Med Rehabil, 88, pp.43~49 (2007)
- Awad LN, "Paretic propulsion and trailing limb angle are key determinants of long-distance walking function after stroke", Neurorehabil Neural Repair, 29, pp.499~508 (2015)
- Varoqui D, "Ankle voluntary movement enhancement following robotic-assisted locomotor training in spinal cord injury", J Neuroeng Rehabil, 11, pp.46~ (2014)
