As incapacidades da marcha nos adultos, causadas principalmente por acidentes vasculares cerebrais (AVCs), afectam anualmente 14 milhões de pessoas. Os sistemas de biofeedback (BSs) ajudam a recuperar a capacidade de marcha através da neuroplasticidade, complementando a fisioterapia convencional. Fornecem informação objetiva e atempada sobre o comportamento neurobiomecânico do utilizador, tanto aos doentes como...
Parkinson’s disease (PD) compromises motor function, leading to severe involuntary tremors, impacting the daily lives of patients who suffer from this neurodegenerative disease. Functional electrical stimulation offers a possible solution to mitigate this symptom. Its combination with braincomputer interface (BCI) based on electroencephalography (EEG) can provide real-time feedback during therapy, enhancing mot...
Biofeedback is a promising tool to complement conventional physi-cal therapy by fostering active participation of neurologically impaired patients during treatment. This work aims at a user-centered design and usability as-sessment for different age groups of a novel wearable augmented reality (AR) application composed of a multimodal sensor network and corresponding con-trol strategies for personalized biofeed...
Lower Extremity Fugl-Meyer Assessment (FMA-LE) is recommended as the primary outcome for assessing motor function in post-stroke population. However, the subjectivity, dependency on professional experience, and time-consuming visual inspection by healthcare professionals limit the use of FMA-LE in clinical practice. Contrarily to clinical scales, sensor-based assessments can automatically provide objective meas...
There is evidence that physical exercise is relevant for a good health status. However, it is still not as widespread as desired, fostering health risks. Biofeedback is a solution to encourage effective physical exercise guided by sensory cues reflecting objective user performance in real-time to both users and personal trainers. This work aims to benchmark the motor effects and usability of a novel wearable mu...
Balance disabilities affect the human quality of life. Current directions for balance rehabilitation require the inclusion of virtual reality (VR) tools as a complementary robotic tool to conventional physical therapies to accelerate balance recovery. This works aims to present the design and validation on healthy of a wearable and fully immersive VR-based tool following a user-centred design. This wearable VR ...
Biofeedback may accelerate post-stroke motor recovery during exoskeleton-assisted gait training. A wearable vibrotactile human-robot interaction (HRI)-based biofeedback is proposed to improve human-exoskeleton compliance during gait training assisted by an ankle-foot exoskeleton (AFE). A pre-post study with four healthy subjects was conducted to evaluate biofeedback training’s efficacy. Results show statistical...
This review aims to recommend directions for future research on robotic biofeedback towards prompt post-stroke gait rehabilitation by investigating the technical and clinical specifications of biofeedback systems (BSs), including the complementary use with assistive devices and/or physiotherapist-oriented cues. A literature search was conducted from January 2019 to September 2022 on Cochrane, Embase, PubMed, PE...
Gait disabilities empowered intensive research on the field of human-robot interaction to promote effective gait rehabilitation. Assist-as-needed strategies are becoming prominent, appealing to the users’ participation in their rehabilitation therapy. This study proposes and assesses the biomechanical effects of an adaptive impedance control strategy that innovatively allows adaptability in interaction-based st...
Quiet standing was, for many years, studied as a single inverted pendulum, based on the principle that the ankle joint is the most important joint of this movement. However, studies show that hip and knee joints perform, as well, an important role in quiet standing. The aim of this paper is to present a three-segment-inverted pendulum model, using Lagrange’s dynamics, to study human quiet stance in the sagittal...