The effect of virtual reality-based eccentric training on lower extremity muscle activation and balance in stroke patients

Park, Seung Kyu; Yang, Dae Jung; Uhm, Yo Han; Heo, Jae Won; Kim, Je Ho

doi:10.1589/jpts.28.2055

Cited by 8 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several studies demonstrated that this treatment enriched by reinforced feedback in a virtual environment (RFVE) may be more effective than TR to improve the motor function of the upper limb after stroke [31,32]. In our study, the use of a VR-based system, together with a motion capture tool, allowed us to modify the artificial environment with which the patient could interact, exploiting some mechanisms of motor learning [33,34], thus allowing greater flexibility and effective improvement in task learning. is system has been highly successful in the functional recovery of the hemiparetic upper extremity [31,[33][34][35][36], but its combined effect with TR on the LE has not yet reported conclusive data [37].…”

Section: Introductionmentioning

confidence: 96%

“…In our study, the use of a VR-based system, together with a motion capture tool, allowed us to modify the artificial environment with which the patient could interact, exploiting some mechanisms of motor learning [33,34], thus allowing greater flexibility and effective improvement in task learning. is system has been highly successful in the functional recovery of the hemiparetic upper extremity [31,[33][34][35][36], but its combined effect with TR on the LE has not yet reported conclusive data [37]. e continuous supply of feedback during voluntary movement makes it possible to continuously adjust contractile activity [38], thus mitigating increments in spasticity and cocontraction processes of the patient.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reinforced Feedback in Virtual Environment for Plantar Flexor Poststroke Spasticity Reduction and Gait Function Improvement

Luque-Moreno

Cano-Bravo

Kiper

et al. 2019

BioMed Research International

View full text Add to dashboard Cite

Background. Ankle spasticity is a frequent phenomenon that limits functionality in poststroke patients. Objectives. Our aim was to determine if there was decreased spasticity in the ankle plantar flex (PF) muscles in the plegic lower extremity (LE) and improvement of gait function in stroke patients after traditional rehabilitation (TR) in combination with virtual reality with reinforced feedback, which is termed “reinforced feedback virtual environment” (RFVE). Methods. The evaluation, before and after treatment, of 10 hemiparetic patients was performed using the Modified Ashworth Scale (MAS), Functional Ambulatory Category (FAC), and Functional Independence Measure (FIM). The intervention consisted of 1 hour/day of TR plus 1 hour/day of RFVE (5 days/week for 3 weeks; 15 sessions in total). Results. The MAS and FAC reached statistical significance (P<0.05). The changes in the FIM did not reach statistical significance (P=0.066). The analysis between the ischemic and haemorrhagic patients showed significant differences in favour of the haemorrhagic group in the FIM scale. A significant correlation between the FAC and the months after the stroke was established (P=−0.711). Indeed, patients who most increased their score on the FAC at the end of treatment were those who started the treatment earliest after stroke. Conclusions. The combined treatment of TR and RFVE showed encouraging results regarding the reduction of spasticity and improvement of gait function. An early commencement of the treatment seems to be ideal, and future research should increase the sample size and assessment tools.

show abstract

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Reinforced Feedback in Virtual Environment for Plantar Flexor Poststroke Spasticity Reduction and Gait Function Improvement

Luque-Moreno

Cano-Bravo

Kiper

et al. 2019

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…In the domain of motor-rehabilitation, EMG-data can be of particular importance. It can be used to demonstrate the basic effectiveness of the system by showing that users of the application really activate targeted muscles (Park et al, 2016;Drolet et al, 2020). This is of special interest when impairments do not allow visible movement of the target-limb (Patel et al, 2015).…”

Section: Physical Therapymentioning

confidence: 99%

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

Halbig

Latoschik

2021

Front. Virtual Real.

View full text Add to dashboard Cite

Measurements of physiological parameters provide an objective, often non-intrusive, and (at least semi-)automatic evaluation and utilization of user behavior. In addition, specific hardware devices of Virtual Reality (VR) often ship with built-in sensors, i.e. eye-tracking and movements sensors. Hence, the combination of physiological measurements and VR applications seems promising. Several approaches have investigated the applicability and benefits of this combination for various fields of applications. However, the range of possible application fields, coupled with potentially useful and beneficial physiological parameters, types of sensor, target variables and factors, and analysis approaches and techniques is manifold. This article provides a systematic overview and an extensive state-of-the-art review of the usage of physiological measurements in VR. We identified 1,119 works that make use of physiological measurements in VR. Within these, we identified 32 approaches that focus on the classification of characteristics of experience, common in VR applications. The first part of this review categorizes the 1,119 works by field of application, i.e. therapy, training, entertainment, and communication and interaction, as well as by the specific target factors and variables measured by the physiological parameters. An additional category summarizes general VR approaches applicable to all specific fields of application since they target typical VR qualities. In the second part of this review, we analyze the target factors and variables regarding the respective methods used for an automatic analysis and, potentially, classification. For example, we highlight which measurement setups have been proven to be sensitive enough to distinguish different levels of arousal, valence, anxiety, stress, or cognitive workload in the virtual realm. This work may prove useful for all researchers wanting to use physiological data in VR and who want to have a good overview of prior approaches taken, their benefits and potential drawbacks.

show abstract

“…In the study by Fernandez-Gonzalo et al [13], 32 subjects with chronic stroke participated in eccentric overload flywheel resistance training for 12 weeks with results showing significantly improved balance and gait performance in the training group. In the study by Park et al [14], 30 chronic stroke participants undertook ECT at different velocities for 8 weeks with results showing improved muscle activation and static balance (limits of stability) at low velocities.…”

Section: Introductionmentioning

confidence: 99%

“…However, these studies focused only on functional performance abilities such as balance and gait after muscle contraction training, and there are few studies focusing on muscle characteristics [13,14]. Even if the characteristics of muscle had been analyzed, they were analyzed only by elec-trical signals from the skin surface, such as surface electromyography [14]. Therefore, there have been no studies on the effects of ECT and CCT on the muscle architecture and characteristics of persons affected by stroke.…”

Section: Introductionmentioning

confidence: 99%

Effect of two types of muscle contraction training on muscle thickness, strength, and delayed onset of muscle soreness in persons with chronic stroke

Lim

Lee

2018

PTRS

View full text Add to dashboard Cite

Objective: The purpose of this study was to investigate the effects of eccentric contraction training (ECT) and concentric contraction training (CCT) on the muscle thickness (MT), muscle strength (MS) and delayed onset of muscle soreness (DOMS) of the lower extremities in persons with chronic stroke. Design: Randomized controlled trial. Methods: Thirty persons with chronic stroke were randomly assigned to the ECT or the CCT group. The ECT was performed in a specially designed system of eccentric contraction of both legs and, the CCT was performed using a traditional stepper system for concentric contraction of both legs. The training was performed for 30 min/times, 3 times/wk for 6 weeks. Rehabilitation ultrasound imaging was used to measure MT of the vastus medialis/lateralis (VL), and soleus (SOL), a digital muscle tester was used to measure MS, and a visual analog scale was used to assess DOMS. Results: In the ECT group, MT was significantly improved except for SOL resting (p<0.01). In the CCT group, the MT was significantly improved except for VL contraction (p<0.05). The MS was significantly improved in both groups, especially in the ECT group (p<0.01). In the ECT group, muscle soreness was highest in the first week after training but gradually decreased, and in the CCT group, it was highest in the second week of training but gradually decreased (p<0.01). Conclusions: ECT can improve lower limb MT, MS, and DOMS of chronic stroke survivors. Therefore, it is recommended that ECT be used in the rehabilitation of persons with chronic stroke.

show abstract

The effect of virtual reality-based eccentric training on lower extremity muscle activation and balance in stroke patients

Cited by 8 publications

References 21 publications

Reinforced Feedback in Virtual Environment for Plantar Flexor Poststroke Spasticity Reduction and Gait Function Improvement

Reinforced Feedback in Virtual Environment for Plantar Flexor Poststroke Spasticity Reduction and Gait Function Improvement

A Systematic Review of Physiological Measurements, Factors, Methods, and Applications in Virtual Reality

Effect of two types of muscle contraction training on muscle thickness, strength, and delayed onset of muscle soreness in persons with chronic stroke

Contact Info

Product

Resources

About