Haptic Simulation of Elbow Joint Spasticity

Grow, David; Wu, Meng; Locastro, M.J.; Arora, Saransh; Bastian, Amy J.; Okamura, Allison M.

doi:10.1109/haptics.2008.4479997

Cited by 31 publications

(23 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although these symptoms are collaterally developed with spasticity, early studies on simulated spasticity did not focus on the combination of these symptoms. Thus far, some early studies have simulated the tonic reflex using robotic dummies [2], [3]. However, the simulated symptoms or resistance torques have yet to be assessed in terms of their similarity to those of real patients.…”

Section: Discussionmentioning

confidence: 97%

“…Kikuchi et al controlled the knee joint of a patient robot using an MR clutch and DC motor to simulate the high and dynamic forces of disordered joints [2]. Grow et al compared two types of models to simulate the spasticity of an elbow joint [3]. They attempted to prove that the robot was effective at training students to classify the spasticity.…”

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Wearable dummy to simulate joint impairment: severity-based assessment of simulated spasticity of knee joint

Ishikawa

Okamoto

Isogai

et al. 2013

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration

View full text Add to dashboard Cite

Physical therapists master manual examination techniques for testing impaired motor functions. We used a wearable robotic dummy joint that simulated disordered joint resistances to help physical therapists learn such techniques. This study developed a resistance model for a spasticity joint, and the dummy joint was used to present it. We assessed the simulated spasticity model using Modified Ashworth Scale (MAS), which is an evaluation criterion for spasticity seriousness that is widely used by physical therapists. The results of experiments involving two physical therapists showed that the model accurately expressed mild-to-severe symptoms of knee joint spasticity. It is expected that using the system in educational institutions for physical therapists will help students learn the typical levels of joint resistance caused by spasticity with different degrees of severity.

show abstract

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 98%

Wearable dummy to simulate joint impairment: severity-based assessment of simulated spasticity of knee joint

Ishikawa

Okamoto

Isogai

et al. 2013

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration

View full text Add to dashboard Cite

show abstract

“…Haptic rendering of physical impairments of stroke survivors have been reported previously (e.g., [14,15]). Such approaches, however, have been limited to only one DOF and have focus on mimicking current clinical assessment techniques (e.g., Ashworth test).…”

Section: Our Approachmentioning

confidence: 92%

Enhanced assessment of limb neuro-mechanics via a haptic display

2014

View full text Add to dashboard Cite

Current state-of-the-art quantitative assessments of abnormal neuro-mechanics (e.g., spasticity, rigidity, dystonia) require sophisticated measurement systems that, together with the lengthiness of the data acquisition, make these approaches impractical for the clinical setting. Our long-term goal is to create a tool that enhances the capability of therapists to diagnose abnormal neuro-mechanics without the need of lengthy procedures and sophisticated equipment. Towards this direction, we present a haptic display of abnormal limb neuro-mechanics. This haptic display can be used as a training device for clinicians to understand the causality of the haptic sensation associated with neurological impairments and abnormal biomechanics during manipulation of a patients' limb. Other uses include the testing of operational research algorithms to maximize the exchange of haptic information, reproducing conditions of human-human interaction, and a test bed for developing novel assessment techniques and targeted interventions. Experimental results support the hypothesis that the best assessment of abnormalities can be obtained via specific manipulation strategies.

show abstract

“…Email: okamoto-shogo@nagoya-u.jp developed elbow robots to simulate spasticity. [4][5][6] These studies simplified a robot joint as a uniaxial one. Several researchers have also focused on complex human joint motions.…”

Section: Introductionmentioning

confidence: 99%

Simulated crepitus and its reality-based specification using wearable patient dummy

et al. 2015

View full text Add to dashboard Cite

Physical therapists are trained in manual examination techniques to test the impaired motor functions of patients. In this study, we have introduced a wearable robotic dummy joint to simulate disordered joint resistances or behaviors to support physical therapists in learning such techniques. We developed a discontinuous joint friction model based on a stick-slip phenomenon to simulate knee joint resistances caused by crepitus, a typical symptom accompanied by osteoarthritis. Practicing therapists participated in a reality-based evaluation test and specified acceptable parameter sets to adjust the simulated crepitus for the exoskeletal patient robot. The simulated crepitus and wearable dummy joint are expected to support the training of physical therapists.

show abstract

Haptic Simulation of Elbow Joint Spasticity

Cited by 31 publications

References 9 publications

Wearable dummy to simulate joint impairment: severity-based assessment of simulated spasticity of knee joint

Wearable dummy to simulate joint impairment: severity-based assessment of simulated spasticity of knee joint

Enhanced assessment of limb neuro-mechanics via a haptic display

Simulated crepitus and its reality-based specification using wearable patient dummy

Contact Info

Product

Resources

About