2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob) 2018
DOI: 10.1109/biorob.2018.8487882
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Novel Assessment Measures of Upper-Limb Function in Pre and Poststroke Rehabilitation: A Pilot Study

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Cited by 2 publications
(3 citation statements)
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“…Finally, in the last line we have a possible condition of use: with the processors in the RUN conditions (line 2), sampling at 100 Hz of the sensors by K22 and relative sending of the acquired data. The value of 3 hours achieved with a 100 Hz transmission, is sufficient for most sports and for clinical sessions, where the patient cannot be stressed for long times [33]- [35].…”
Section: Power Consumptionmentioning
confidence: 99%
“…Finally, in the last line we have a possible condition of use: with the processors in the RUN conditions (line 2), sampling at 100 Hz of the sensors by K22 and relative sending of the acquired data. The value of 3 hours achieved with a 100 Hz transmission, is sufficient for most sports and for clinical sessions, where the patient cannot be stressed for long times [33]- [35].…”
Section: Power Consumptionmentioning
confidence: 99%
“…Results from simulations show that EAs adjust the game's parameter of difficulty properly, and clinical tests will be done as future work. Grasp and Upper-Limb Motion Sensor (GULM Sensor) is described in (APPEL et al, 2018) for upper limb rehabilitation with hand function assessment. A vision system takes images of the hands reaching an object, and an IMU sends accelerations and angular movements.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The inertial sensor can be used with a therapist's help without compromising the tracking system. The research in (CAMEIRÃO et al, 2011) and (APPEL et al, 2018) propose an approach with inertial sensors trying to synchronize better moves made by patients. There are 6 out of 8 works in Table 1 evaluating the proposed systems with patients, which is mandatory for a better validation of this type of research.…”
Section: Literature Reviewmentioning
confidence: 99%