A5037344297- Muscle activation and electromyography studies
- Stroke Rehabilitation and Recovery
- Transcranial Magnetic Stimulation Studies
- EEG and Brain-Computer Interfaces
- Tactile and Sensory Interactions
- Cerebral Palsy and Movement Disorders
- Pain Mechanisms and Treatments
- Balance, Gait, and Falls Prevention
- Botulinum Toxin and Related Neurological Disorders
- Musculoskeletal pain and rehabilitation
- Motor Control and Adaptation
- Neuroscience and Neural Engineering
- Context-Aware Activity Recognition Systems
- Advanced Sensor and Energy Harvesting Materials
- Psychosomatic Disorders and Their Treatments
- Spinal Cord Injury Research
- Music Technology and Sound Studies
- Neuroscience and Music Perception
- Prosthetics and Rehabilitation Robotics
- Sports Performance and Training
- Pain Management and Treatment
- Heart Rate Variability and Autonomic Control
- Pain Management and Placebo Effect
- Hand Gesture Recognition Systems
- Orthopedic Surgery and Rehabilitation
Aalborg University
2014-2024
Center for Neurorehabilitation Services
2020-2021
Universidad Nacional de Entre Ríos
2002
Pain is a symptom of many disorders associated with actual or potential tissue damage in human body. Managing pain not only duty but also highly cost prone. The most primitive state management the assessment pain. Traditionally it was accomplished by self-report visual inspection experts. However, automatic systems from facial videos are rapidly evolving due to need managing robust and effective way. Among different challenges video data two issues increasingly prevalent: first, exploiting...
This study proposes a bioinspired exotendon routing configuration for tendon-based mechanism to provide finger flexion and extension that utilizes single motor reduce the complexity of system. The was primarily inspired by extrinsic muscle–tendon units human musculoskeletal function intrinsic partially compensated adding minor modification units. kinematics produced this solution during were experimentally evaluated on an artificial compared obtained using traditional mechanism, where one...
Introduction Brain computer interface is an emerging technology to treat the sequelae of stroke. The purpose this study was explore motor imagery related desynchronization sensorimotor rhythms stroke patients and assess efficacy upper limb neurorehabilitation therapy based on functional electrical stimulation controlled by a brain interface. Methods Eight severe chronic were recruited. consisted two stages: screening therapy. During screening, ability desynchronize contralateral oscillatory...
Auditory feedback has earlier been explored as a tool to enhance patient awareness of gait kinematics during rehabilitation. In this study, we devised and tested novel set concurrent paradigms on swing phase in hemiparetic training. We adopted user-centered design approach, where kinematic data recorded from 15 patients was used three algorithms (wading sounds, abstract, musical) based filtered gyroscopic four inexpensive wireless inertial units. The were (hands-on) by focus group five...
The aim of this study was to investigate the modulation and topography nociceptive withdrawal reflex elicited by painful electrical stimulation foot sole during gait. Fifteen healthy volunteers participated in study. Cutaneous delivered on five locations after heel-contact, foot-flat, heel-off, mid-swing phase gait cycle treadmill walking. Reflexes were recorded from muscles ipsilateral contralateral legs. Furthermore, kinematic responses sagittal plane ankle, knee, hip joints recorded....
In this article, we present a technical framework aimed at facilitating musical biofeedback research in poststroke movement rehabilitation. The comprises wireless wearable inertial sensors and software built with inexpensive open-source tools. enables layered adjustable music synthesis has generic movement–music mapping module. Using this, designed digital interactions for balance, sit-to-stand, gait training. Preliminary trials subacute stroke patients indicated that the were clinically...
Recording electrical muscle activity using a dense matrix of detection points (high-density electromyography, EMG) is interest in range different applications, from human-machine interfacing to rehabilitation and clinical assessment. The wider application high-density EMG is, however, limited as the interfaces are not convenient for practical use (e.g., require conductive gel/cream). In present study, we describe novel dry electrode (TEX) which sensing pads screen printed on textile then...
Due to visiting restrictions at intensive care units during the COVID-19 pandemic, a digital video technology was developed and implemented. This study evaluated use of visits four after COVID-19. Nurses' managerial perspectives on implementation were examined in an explanatory sequential mixed-methods study. Data explored by inferential statistics (quantitative data) content analysis (qualitative data). Results revealed that 52.9% nurses had not used visits. Users indicated supported...
Gait deficits are very common after stroke and improved therapeutic interventions needed. The objective of this study was therefore to investigate the use nociceptive withdrawal reflex support gait training in subacute post-stroke phase.Individuals were randomly allocated a treatment group that received physiotherapy-based supported by stimulation control alone. Electrical stimuli delivered arch foot elicited at heel-off with purpose facilitating initiation execution swing phase. assessed...
This study investigated the clinical feasibility of combining electromechanical gait trainer Lokomat with functional electrical therapy (LokoFET), stimulating common peroneal nerve during swing phase cycle to correct foot drop as an integrated part therapy. Five patients different acquired brain injuries trained LokoFET 2-3 times a week for 3-4 weeks. Pre- and post-intervention evaluations were performed quantify neurophysiological changes related patients' impairment cycle. A...
Myoelectric control based on hand gesture classification can be used for effective, contactless human-machine interfacing in general applications (e.g., consumer market) as well the clinical context. However, accuracy of impacted by several factors including changing wrist position. The present study aimed at investigating how channel configuration (number and placement electrode pads) affects performance recognition across positions, with overall goal reducing number channels without loss...
Although early rehabilitation is important following a stroke, severely affected patients have limited options for intensive as they are often bedridden. To create system of lower extremities in these patients, we combined the robotic manipulator ROBERT® with electromyography (EMG)-triggered functional electrical stimulation (FES) and developed novel user-driven Assist-As-Needed (AAN) control. The method based on state machine able to detect user movement capability, assessed by presence an...