Abstract:Analysis of kinematic features related to clinical assessment scales may qualitatively improve the evaluation of upper extremity movements of stroke patients. We aimed to investigate kinematic features that could correlate the change in the Fugl-Meyer Assessment (FMA) score of stroke survivors through upper extremity robotic rehabilitation. We also analyzed whether changes in kinematic features by active and active-assisted robotic rehabilitation correlated differently with changes in FMA scores. Fifteen strok… Show more
“…As mentioned above, device-guided physical therapy has the advantage of offering a level of repeatability and precision that no human can provide [ 19 ]. Recently, robot-assisted rehabilitation technologies, including body movement and position monitoring with appropriate measurement instruments, are being intensively developed [ 28 , 29 ].…”
According to data, 60–70% of the world’s population experience low-back pain (LBP) at least once during their lifetime, often at a young or middle age. Those affected are at risk of having worse quality of life, more missed days at work, and higher medical care costs. We present a new rehabilitation method that helps collect and analyze data on an ongoing basis and offers a more personalized therapeutic approach. This method involves assessing lumbar spine rotation (L1–L5) during torso movement using an innovative dynamic spine correction (DSC) device designed for postural neuromuscular reeducation in LBP. Spinal mobility was tested in 54 patients (aged 18 to 40 years) without LBP. Measurements were made with 12-bit rotary position sensors (AS5304) of the DSC device. During exercise, the mean lumbar spine rotation to the right was greater (4.78° ± 2.24°) than that to the left (2.99° ± 1.44°; p < 0.001). Similarly, the maximum rotation to the right was greater (11.35° ± 3.33°) than that to the left (7.42° ± 1.44°; p < 0.0001). The measurements obtained in the study can serve as a reference for future therapeutic use of the device.
“…As mentioned above, device-guided physical therapy has the advantage of offering a level of repeatability and precision that no human can provide [ 19 ]. Recently, robot-assisted rehabilitation technologies, including body movement and position monitoring with appropriate measurement instruments, are being intensively developed [ 28 , 29 ].…”
According to data, 60–70% of the world’s population experience low-back pain (LBP) at least once during their lifetime, often at a young or middle age. Those affected are at risk of having worse quality of life, more missed days at work, and higher medical care costs. We present a new rehabilitation method that helps collect and analyze data on an ongoing basis and offers a more personalized therapeutic approach. This method involves assessing lumbar spine rotation (L1–L5) during torso movement using an innovative dynamic spine correction (DSC) device designed for postural neuromuscular reeducation in LBP. Spinal mobility was tested in 54 patients (aged 18 to 40 years) without LBP. Measurements were made with 12-bit rotary position sensors (AS5304) of the DSC device. During exercise, the mean lumbar spine rotation to the right was greater (4.78° ± 2.24°) than that to the left (2.99° ± 1.44°; p < 0.001). Similarly, the maximum rotation to the right was greater (11.35° ± 3.33°) than that to the left (7.42° ± 1.44°; p < 0.0001). The measurements obtained in the study can serve as a reference for future therapeutic use of the device.
“…CT is measured in [seconds], from the patient movement initiation until the reaching of the target. As already stated, the MAPR was used as a measure of motion smoothness [27], [28]. In particular, it exploits indirectly the velocity of the patients to determine whether the patient is in motion or not at a certain timestamp.…”
The communication channels between physiotherapists and patients are many and varied. Rehabilitation robots are able to deliver intensive treatments and improve the patient's quality of life. However, rehabilitation robots in the literature do not integrate physical manipulation with natural verbal communication yet. This article proposes an innovative integrated system for motor rehabilitation based on the combination of physical and cognitive components to emulate the natural interaction between physiotherapists and patients. The proposed approach was validated in a laboratory setting with 20 healthy subjects. The cognitive system's ability to interact linguistically as well as the participants' kinematic performance and the emotional impact generated by two different robotic systems were assessed. The former integrates advanced linguistic capabilities and the latter lacks any verbal communication. The results showed that the presence of linguistic interaction promotes the quality of interaction, leading to improvements both in the execution of movements and in emotional terms.
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