Biosystems & biorobotics, Journal Year: 2024, Volume and Issue: unknown, P. 241 - 245
Published: Jan. 1, 2024
Language: Английский
Biosystems & biorobotics, Journal Year: 2024, Volume and Issue: unknown, P. 241 - 245
Published: Jan. 1, 2024
Language: Английский
Auditory Perception & Cognition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20
Published: Feb. 6, 2025
Language: Английский
Citations
0Journal of NeuroEngineering and Rehabilitation, Journal Year: 2025, Volume and Issue: 22(1)
Published: Feb. 26, 2025
Sonified biofeedback is a subtype of auditory that conveys biological data through specific non-verbal sounds. It can be designed to provide augmented biomechanical feedback in near-real-time when provided as "concurrent" biofeedback. As practice developed spanning across engineering and the arts, sonified extend beyond simple tones beeps, towards more fully incorporating music movement training. may leverage motivational aspects training, neuroplasticity benefits demonstrated from participation music-based interventions, neurological auditory-motor coupling, all while providing task-relevant cues facilitate motor (re)learning. also similar rhythmic cueing (e.g., stimulation), or added because does not impose strict isochronous rhythm it follows rhythms are driven by outputs control system. In this review paper, unique opportunity presented concurrent training tool for balance gait introduced discussed. This paper brings together prior research clinical, engineering, artistic design sources using diverse end-users highlight trends, reveal gaps knowledge, perspective future work area. The goal was progress critically assess during postural gait. 49 papers were selected based on their experimental investigation statistical analyses effects assist feet-in-place tasks (20 papers) such walking running (29 papers). sound choices, features, results summarized reviewed. All but two studies reported at least one statistically significant positive effect with biomechanical, psychosocial measures. Conversely, only seven shared any negative measure (with five these reporting other effect). After describing encouraging findings, closes sharing perspectives about directions designing opportunities cohesive growth practice. One suggestion pursue designs translate neurorehabilitation field. includes strategically selecting groups evaluation understand if improvements task transfer additional relevant tasks. Additionally, important publications share details processes so researchers readily learn another. Overall, shares impact highlights evidence existing successes potential even impactful help populations spectrum mobility challenges goals.
Language: Английский
Citations
0Published: Jan. 1, 2024
I received my BE (Bachelor of Engineering) in Electronics and Telecommu-
Language: Английский
Citations
2Biomechanics, Journal Year: 2024, Volume and Issue: 4(4), P. 664 - 684
Published: Nov. 8, 2024
Background/Objectives: The incorporation of biomechanics into stroke neurorehabilitation may serve to strengthen the effectiveness rehabilitation strategies by increasing our understanding human movement and recovery processes. present bibliometric analysis research in is conducted with objectives identifying influential studies, key trends, emerging areas that would inform future clinical practice. Methods: A comprehensive was performed using documents retrieved from Scopus database on 6 August 2024. included performance metrics such as publication counts citation analysis, well science mapping techniques, including co-authorship, bibliographic coupling, co-citation, keyword co-occurrence analyses. Data visualization tools VOSviewer Power BI were utilized map networks trends. Results: An overabundance recent work has yielded substantial advancements application brain–computer interfaces electroencephalography functional neuroimaging during neurorehabilitation., which translate neural activity control signals for external devices provide critical insights motor enabling precise tracking feedback rehabilitation. sampling most impactful contributors publications identified two leading countries contribution: United States China. Three prominent topic clusters also noted: biomechanical evaluation robotics, Conclusions: findings underscore growing integration advanced technologies neuroimaging, virtual reality practices. These innovations are poised enhance precision therapeutic interventions. Future should focus long-term impacts these development accessible, cost-effective use. multidisciplinary approaches will be crucial optimizing patient outcomes improving quality life survivors.
Language: Английский
Citations
2Published: May 30, 2024
Stationary biking is a common endurance training activity in the motor rehabilitation of neurological patients. Regular and intense crucial to eventual patient outcomes, but itself traditionally monotonous one. In recent years, potential interactive virtual reality (VR) musical feedback enhance performance motivation has been established, there lack proven paradigms that optimally combine them benefit this work, we iteratively developed an integrated multimodal system provide individualized VR real time with goal boosting modulating pedaling intensity over session. The concept was initially realized by coupling two independent systems for on cumulative instantaneous respectively. coupled were tested pilot study 11 participants, overall paradigm found be usable motivating room technical design-specific improvement. second iteration development, robustly design streamlined primarily inform single variable - intensity. With new built delivery, efficacy clinical will systematically evaluated future work. results will, our estimation, contribute growing body knowledge how best leverage rehabilitation.
Language: Английский
Citations
1Published: Sept. 11, 2024
Language: Английский
Citations
1Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)
Published: Nov. 9, 2024
Kinematic data is a valuable source of movement information that provides insights into the health status, mental state, and motor skills individuals. Additionally, kinematic can serve as biometric data, enabling identification personal characteristics such height, weight, sex. In CeTI-Locomotion, four types walking tasks 5 times sit-to-stand test (5RSTST) were recorded from 50 young adults wearing motion capture (mocap) suits equipped with Inertia-Measurement-Units (IMU). Our dataset unique in it allows study both intra- inter-participant variability high quality for different tasks. Along raw we provide code phase segmentation processed which has been segmented total 4672 individual repetitions. To validate conducted visual inspection well machine-learning based identity action recognition tests, achieving 97% 84% accuracy, respectively. The normative reference gait movements healthy training recognition.
Language: Английский
Citations
1Personal and Ubiquitous Computing, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 10, 2024
Language: Английский
Citations
0Published: Sept. 11, 2024
Language: Английский
Citations
0Health and Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 28, 2024
Abstract Purpose Gait functions decline with aging, characterized by shorter strides, reduced hip range of motion and increased cadence variability. Wearable biofeedback devices have been shown to improve gait, such as lengthening strides in older adults. While these attempted the entire gait suggesting changes one parameter, it was not known if this approach could change patterns differently among elderly people. This study explored how a smart insole providing on swing time only produce different patterns. Methods Thirteen adults walked flat walkway without from increase time. analyses were recorded immediately after each condition using GaitRite Xsens systems. The sample then divided into Group A ( n = 7) who their stride length B 6) did analyze within-group changes. Results Baseline analysis confirmed no significant differences between two groups. Upon devices, all participants over 5% significantly extension (18.01%), flexion (5.1%) (5.5%). Conversely, device caused reduce (3.6%), velocity (13%), variability (stance COV 112%). Conclusions Biofeedback instant modifications parameter distinct walking similar characteristics. Caution design should be taken outcomes vary users.
Language: Английский
Citations
0