Smoothness Metrics in Complex Movement Tasks

Gulde, Philipp; Hermsdörfer, Joachim

doi:10.3389/fneur.2018.00615

Cited by 81 publications

(58 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For each phase of the TUG test, the linear accelerations and angular velocities were summed to yield the SPARC linear total and SPARC angular total, respectively (Beck et al, 2018). As previously described (Beck et al, 2018;Gulde and Hermsdörfer, 2018), SPARC metrics follow the assumption that less smooth movements are more complex in terms of their frequency composition. Therefore, less movement smoothness indicates lower SPARC values.…”

Section: Discussionmentioning

confidence: 99%

“…Aligned with this technology, we opted to use state-of-the-art movement smoothness metrics to quantify movement quality, the spectral arc length (SPARC) (Balasubramanian et al, 2012(Balasubramanian et al, , 2015Beck et al, 2018). SPARC has essential advantages in evaluating movement smoothness if compared to other metrics, such as the number of velocity peaks (Gulde and Hermsdörfer, 2018) or jerk (Hogan and Sternad, 2009;Balasubramanian et al, 2012). In a previous study, we used an IMU system to evaluate and quantify mobility smoothness of persons with PD and freezing of gait (FOG) during a functional mobility test (Pinto et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Feasibility of a Short-Term Virtual Reality Balance Intervention to Improve Mobility Smoothness in Parkinson's Disease

Schuch

Balbinot

Bonilla

et al. 2020

Front. virtual real.

View full text Add to dashboard Cite

Parkinson's disease (PD) is a neurodegenerative condition that is often associated with movement impairments, such as reduced balance and gait control. Virtual reality (VR) is a promising intervention for enhancing rehabilitation efficiency and may assist in overcoming functional limitations imposed by the disability. The objective of this study was to evaluate the feasibility, safety, and efficacy of a 5-weeks VR intervention in increasing mobility smoothness in participants with PD. Participants were assessed using functional mobility tasks-Timed Up and Go (TUG) and 10-m walking test (10MWT) and cognitive function tests. A total of 23 participants with a diagnosis of PD were randomly assigned to groups of VR or control interventions. In the VR group, for each session, participants received a VR-based balance training, i.e., tightrope simulator, for 20 min, preceded by 8 min of total body warm-up (total of 10 sessions over 5 weeks). Participants in the control group received 20 min of psychoeducation without a structured exercise program (twice a week). All screened participants engaged and completed a total of 10 VR-based intervention sessions. VR-based balance training caused no significant improvement in mobility smoothness for TUG or 10MWT (p > 0.05). Similarly, cognitive function was not affected by the VR intervention (p > 0.05). The outcomes of this study suggest that 10-20 min of VR-based intervention is a feasible and safe rehabilitation activity. However, it was insufficient to promote improvement in mobility smoothness and cognitive function in participants with PD. A combination of task-specific training in the virtual and physical environments in a more intensive approach is warranted for future study designs.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feasibility of a Short-Term Virtual Reality Balance Intervention to Improve Mobility Smoothness in Parkinson's Disease

Schuch

Balbinot

Bonilla

et al. 2020

Front. virtual real.

View full text Add to dashboard Cite

show abstract

“…It is difficult to meaningfully compare values of movement smoothness across different tasks, but within a consistent task, a smoothness metric can be calculated to quantify performance. Many methods have been proposed for how to quantify movement smoothness [25].…”

Section: Improvements In Movement Smoothnessmentioning

confidence: 99%

At-Home Self-Administration of an Immersive Virtual Reality Therapeutic Game for Post-Stroke Upper Limb Rehabilitation

Salisbury

Aronson

Simon

2020

Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play

View full text Add to dashboard Cite

After a stroke, it is common to experience weakness or paralysis on one side of the body, including difficulty incorporating an affected upper extremity in activities of daily living. Virtual reality and video games that encourage task-oriented movement have been recognized as a valid clinical approach for providing stroke survivors with additional therapy. However, there have been few, if any, reports that examine the use of immersive virtual reality in the home for this purpose. Here, we describe a case study of a stroke survivor utilizing a therapeutic gaming system in the home over the course of several months. The digital therapeutic, CogniviveVR, utilizes head-mounted display-based virtual reality to provide patients with an immersive world where therapeutic tasks can be generated and dynamically self-adapted within a patient's peripersonal space. The therapy was found to be feasible, well-tolerated, and engaging, with the study participant selfadministering therapy approximately half an hour per day, 5-6 times a week over the course of eight weeks. Analysis of 3D motion data collected during sessions showed significant improvements in movement smoothness during performance of game tasks. After this pilot study, the system was successfully adapted to run on a stand-alone virtual reality headset. This has substantially reduced system setup requirements and will enable additional home-based studies to be conducted without the need for a study staff member to visit patients' homes to verify installation.

show abstract

“…• Maximum Extension Torque: the maximum torque value recorded during a static hold phase at the maximum extension angle (10); • Zero Torque Angle: the angular value corresponding to null torque exerted by the robot; in this configuration, flexor and extensor torques (free of gravity force contributions) are equal and opposite and the system is ideally not applying any force to hold the elbow in position (10); • Joint Impedance: measure of the total limb resistance to muscle elongation, computed as the ratio between the difference in joint torque over the corresponding change in joint angular position (33,34); for constant, slow-speed movements, the main contribution to the joint impedance can be identified in the joint stiffness (i.e., rigidity For the active exercises, the main outcome measure is the movement smoothness: recently, several studies (35,36) have approached the question of how to classify and quantify movement "smoothness." Unequivocally, healthy subjects show faster, more continuous movements compared to patients affected by neural deficits (37).…”

Section: Outcome Measuresmentioning

confidence: 99%

Robotic Rehabilitation and Multimodal Instrumented Assessment of Post-stroke Elbow Motor Functions—A Randomized Controlled Trial Protocol

et al. 2020

View full text Add to dashboard Cite

Background: The reliable assessment, attribution, and alleviation of upper-limb joint stiffness are essential clinical objectives in the early rehabilitation from stroke and other neurological disorders, to prevent the progression of neuromuscular pathology and enable proactive physiotherapy toward functional recovery. However, the current clinical evaluation and treatment of this stiffness (and underlying muscle spasticity) are severely limited by their dependence on subjective evaluation and manual limb mobilization, thus rendering the evaluation imprecise and the treatment insufficiently tailored to the specific pathologies and residual capabilities of individual patients. Methods: To address these needs, the proposed clinical trial will employ the NEUROExos Elbow Module (NEEM), an active robotic exoskeleton, for the passive mobilization and active training of elbow flexion and extension in 60 sub-acute and chronic stroke patients with motor impairments (hemiparesis and/or spasticity) of the right arm. The study protocol is a randomized controlled trial consisting of a 4-week functional rehabilitation program, with both clinical and robotically instrumented assessments to be conducted at baseline and post-treatment. The primary outcome measures will be a set of standard clinical scales for upper limb spasticity and motor function assessment, including the Modified Ashworth Scale and Fugl-Meyer Index, to confirm the safety and evaluate the efficacy of robotic rehabilitation in reducing elbow stiffness and improving function. Secondary outcomes will include biomechanical, muscular activity, and motor performance parameters extracted from instrumented assessments using the NEEM along with synchronous EMG recordings. Conclusions: This randomized controlled trial aims to validate an innovative instrumented methodology for clinical spasticity assessment and functional rehabilitation, relying on the precision and accuracy of an elbow exoskeleton combined with EMG recordings and the expertise of a physiotherapist, thus complementing and maximizing the benefits of both practices. Pilla et al. Robotic Assessment and Treatment of Elbow Spasticity Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT04484571.

show abstract

Smoothness Metrics in Complex Movement Tasks

Cited by 81 publications

References 30 publications

Feasibility of a Short-Term Virtual Reality Balance Intervention to Improve Mobility Smoothness in Parkinson's Disease

Feasibility of a Short-Term Virtual Reality Balance Intervention to Improve Mobility Smoothness in Parkinson's Disease

At-Home Self-Administration of an Immersive Virtual Reality Therapeutic Game for Post-Stroke Upper Limb Rehabilitation

Robotic Rehabilitation and Multimodal Instrumented Assessment of Post-stroke Elbow Motor Functions—A Randomized Controlled Trial Protocol

Contact Info

Product

Resources

About