Abstract:Robots that simulate patients suffering from joint resistance caused by biomechanical and neural impairments are used to aid the training of physical therapists in manual examination techniques. However, there are few methods for assessing such robots. This article proposes two types of assessment measures based on typical judgments of clinicians. One of the measures involves the evaluation of how well the simulator presents different severities of a specified disease. Experienced clinicians were requested to … Show more
“…Increase in muscle tone, commonly presented in subject with motor impairment, is generally rooted from muscle spasticity and rigidity upon passive mobilization [6]- [11]. Spasticity is a phenomenon that contributes to the increase in muscle tone proportional to the velocity of passive mobilization, whilst rigidity or resistance contributes to the increase in muscle tone due to hypertonia [3], [7], [9]- [11]. However, muscle tone increment does not develop linearly.…”
Section: Introductionmentioning
confidence: 99%
“…Throughout the passive mobilization, a spike in moment feedback may occur at a certain angular position. This spike is described as the catch phase [6], [11]- [15]. Additionally, a release phase is presented post catch phase, generating a form of sudden drop in muscle tone before slowly stabilizing as it approaches the maximum functional range of motion (ROM) [6], [9], [14]- [17].…”
Section: Introductionmentioning
confidence: 99%
“…A simulation model is necessary to replicate the standard pattern of each MAS and its responses upon passive mobilization. A thorough research has been done to understand the gross kinematics and dynamics of the extremity for different MAS level [6], [11], [12]. However, the simulation model presented in [10], [11] was formulated from kinematic response of induced motion, rather than from the moment response of the muscle.…”
Section: Introductionmentioning
confidence: 99%
“…The clasp-knife phenomenon is indistinguishable in the simulation model presented in [12] without the jerk effect in the gross kinematics and dynamics. Nevertheless, the presented methodology of muscle tone model by [11], [12] requires a simpler form of features extraction compared to the methodology presented by [16], which necessitates electromyogram (EMG) signal extraction. Thus, an improvised simulation model from the same basis as [10], [11] was necessary to replicate the muscle tone pattern of subject according to MAS criterion, whilst fulfilling the condition required for the simulation studies of robotic assisted training platform interaction.…”
The objective of this research was to replicate the muscle tone moment feedback of elbow upon passive mobilization and classify them based on modified ashworth scale criterion using a mathematical model. The proposed model enables the visualization of muscle tone pattern for robotic interaction simulation. A concurrent muscle tone model necessitates a jerk effect to fully replicate the catch and release effect, also known as, clasp-knife phenomenon of muscle tone feedback. However, the research of passive mobilization control interaction between robot and subject does not emulate such phenomenon. Thus, the model was improvised to replicate the clasp-knife phenomenon according to the robot's gross kinematics and dynamics. The model was designed based on the quantitative pattern of muscle tone feedback from subject with spasticity. The simulated model was then correlated to clinical measures using similar kinematic and dynamic input. The velocity dynamic input was splined to obtain the velocity trend without the jerk effect. The results obtained from the proposed model were relatively promising with an overall (n = 9 × 4) linear (Pearson) correlated average ofr = 0.8348 for nine subjects with correlation significant at the 0.01 level (p < 0.01) and five of them presented a distinctive clasp-knife phenomenon with correlation average ofr = 0.8631. INDEX TERMS Modeling, motion analysis, mathematics, biomedical engineering.
“…Increase in muscle tone, commonly presented in subject with motor impairment, is generally rooted from muscle spasticity and rigidity upon passive mobilization [6]- [11]. Spasticity is a phenomenon that contributes to the increase in muscle tone proportional to the velocity of passive mobilization, whilst rigidity or resistance contributes to the increase in muscle tone due to hypertonia [3], [7], [9]- [11]. However, muscle tone increment does not develop linearly.…”
Section: Introductionmentioning
confidence: 99%
“…Throughout the passive mobilization, a spike in moment feedback may occur at a certain angular position. This spike is described as the catch phase [6], [11]- [15]. Additionally, a release phase is presented post catch phase, generating a form of sudden drop in muscle tone before slowly stabilizing as it approaches the maximum functional range of motion (ROM) [6], [9], [14]- [17].…”
Section: Introductionmentioning
confidence: 99%
“…A simulation model is necessary to replicate the standard pattern of each MAS and its responses upon passive mobilization. A thorough research has been done to understand the gross kinematics and dynamics of the extremity for different MAS level [6], [11], [12]. However, the simulation model presented in [10], [11] was formulated from kinematic response of induced motion, rather than from the moment response of the muscle.…”
Section: Introductionmentioning
confidence: 99%
“…The clasp-knife phenomenon is indistinguishable in the simulation model presented in [12] without the jerk effect in the gross kinematics and dynamics. Nevertheless, the presented methodology of muscle tone model by [11], [12] requires a simpler form of features extraction compared to the methodology presented by [16], which necessitates electromyogram (EMG) signal extraction. Thus, an improvised simulation model from the same basis as [10], [11] was necessary to replicate the muscle tone pattern of subject according to MAS criterion, whilst fulfilling the condition required for the simulation studies of robotic assisted training platform interaction.…”
The objective of this research was to replicate the muscle tone moment feedback of elbow upon passive mobilization and classify them based on modified ashworth scale criterion using a mathematical model. The proposed model enables the visualization of muscle tone pattern for robotic interaction simulation. A concurrent muscle tone model necessitates a jerk effect to fully replicate the catch and release effect, also known as, clasp-knife phenomenon of muscle tone feedback. However, the research of passive mobilization control interaction between robot and subject does not emulate such phenomenon. Thus, the model was improvised to replicate the clasp-knife phenomenon according to the robot's gross kinematics and dynamics. The model was designed based on the quantitative pattern of muscle tone feedback from subject with spasticity. The simulated model was then correlated to clinical measures using similar kinematic and dynamic input. The velocity dynamic input was splined to obtain the velocity trend without the jerk effect. The results obtained from the proposed model were relatively promising with an overall (n = 9 × 4) linear (Pearson) correlated average ofr = 0.8348 for nine subjects with correlation significant at the 0.01 level (p < 0.01) and five of them presented a distinctive clasp-knife phenomenon with correlation average ofr = 0.8631. INDEX TERMS Modeling, motion analysis, mathematics, biomedical engineering.
“…Saverio Farsoni from the University of Ferrara designed an ultrasound training system to provide high-quality training scenarios to improve the effectiveness of ultrasound education [20]. Shun Ishikawa from Nagoya University developed a training robot that helps therapists perform manual examinations of human joints [21]. The robot allows students to touch and feel real human bodies, thereby providing a perception of the complex movements of the joints and bone of the human body.…”
BACKGROUND: Traditional Chinese medicine (TCM) massage has a better effect on treating infant diarrhea compared to medical treatment. The TCM doctors need to be trained to master professional massage techniques. Traditional Chinese massage training relies on the students' understanding ability, and cannot accurately record the students' operating information. This situation leads to insufficient clinical massage skills of the students. OBJECTIVE: This paper proposes a novel massage training platform to quantitatively perceive the massage techniques of students. METHODS: The paper proposed two types of flexible array sensors, which are arranged and placed into the bionic baby according to the position of the human acupoints. The massage techniques of the training object can be analyzed and evaluated during the massage process by studying the voltage from pressure sensors when the participants massage the bionic infant. RESULTS: A medical student was invited to conduct the massage training experiment, and the massage information included the operating strength, massage frequency and the massage direction, which were recorded and analyzed through the training platform. CONCLUSION: The platform can perceive the parameters related to the massage technique of students and can be used for medical training.
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