- Spinal Cord Injury Research
- Stroke Rehabilitation and Recovery
- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Transcranial Magnetic Stimulation Studies
- Context-Aware Activity Recognition Systems
- Balance, Gait, and Falls Prevention
- Non-Invasive Vital Sign Monitoring
- Assistive Technology in Communication and Mobility
- Cerebral Palsy and Movement Disorders
- Advanced Sensor and Energy Harvesting Materials
- COVID-19 diagnosis using AI
- Diabetic Foot Ulcer Assessment and Management
- Mobile Health and mHealth Applications
- Heart Rate Variability and Autonomic Control
- Physical Activity and Health
- Nerve Injury and Rehabilitation
- Vestibular and auditory disorders
- Musculoskeletal pain and rehabilitation
- Botulinum Toxin and Related Neurological Disorders
- Motor Control and Adaptation
- Traumatic Brain Injury Research
- Hand Gesture Recognition Systems
- Intraoperative Neuromonitoring and Anesthetic Effects
- Phonocardiography and Auscultation Techniques
Shirley Ryan AbilityLab
2014-2024
Northwestern University
2018-2020
University of Illinois Chicago
2018
Honda (United States)
2018
University of Miami
2011
Robots offer an alternative, potentially advantageous method of providing repetitive, high-dosage, and high-intensity training to address the gait impairments caused by stroke. In this study, we compared effects Stride Management Assist (SMA®) System, a new wearable robotic device developed Honda R&D Corporation, Japan, with functional task specific (FTST) on spatiotemporal parameters in stroke survivors.A single blinded randomized control trial was performed assess effect FTST task-specific...
Implicit and explicit memory systems for motor skills compete with each other during after practice. Primary cortex (M1) is known to be engaged implicit learning, while dorsal premotor (PMd) critical learning. To elucidate the neural substrates underlying interaction between systems, adults underwent a randomized crossover experiment of anodal transcranial direct current stimulation (AtDCS) applied over M1, PMd or sham sequence (serial reaction time task, SRTT) We hypothesized that M1-AtDCS...
Soft, skin-integrated electronic sensors can provide continuous measurements of diverse physiological parameters, with broad relevance to the future human health care. Motion artifacts can, however, corrupt recorded signals, particularly those associated mechanical signatures cardiopulmonary processes. Design strategies introduced here address this limitation through differential operation a matched, time-synchronized pair high-bandwidth accelerometers located on parts anatomy that exhibit...
Capabilities in continuous monitoring of key physiological parameters disease have never been more important than the context global COVID-19 pandemic. Soft, skin-mounted electronics that incorporate high-bandwidth, miniaturized motion sensors enable digital, wireless measurements mechanoacoustic (MA) signatures both core vital signs (heart rate, respiratory and temperature) underexplored biomarkers (coughing count) with high fidelity immunity to ambient noises. This paper summarizes an...
<h3>Objective</h3> To test the hypothesis that gait training with a hip-assistive robotic exoskeleton improves clinical outcomes and strengthens descending corticospinal drive to lower limb muscles in persons chronic stroke. <h3>Methods</h3> Fifty participants completed randomized, single-blind, parallel study. Participants received over-ground Honda Stride Management Assist (SMA) or intensity-matched functional training, delivered 18 sessions over 6–8 weeks. Performance-based self-reported...
Smartphones contain sensors that measure movement-related data, making them promising tools for monitoring physical activity after a stroke. Activity recognition (AR) systems are typically trained on movement data from healthy individuals collected in laboratory setting. However, patterns change stroke (eg, gait impairment), and activities may be performed differently at home than lab. Thus, it is important to validate AR gait-impaired patients setting accurate clinical predictions.In this...
Objective: Controlling the spread of COVID-19 pandemic largely depends on scaling up testing infrastructure for identifying infected individuals. Consumer-grade wearables may present a solution to detect presence infections in population, but current paradigm requires collecting physiological data continuously and long periods time each individual, which poses limitations context rapid screening. Technology: Here, we propose novel based recording responses elicited by short (~2 minutes)...
Spinal inhibition is significantly reduced after spinal cord injury (SCI) in humans. In this work, we examined if locomotor training can improve exerted at a presynaptic level. Sixteen people with chronic SCI received an average of 45 sessions, 5 days/wk, 1 h/day. The soleus H-reflex depression response to low-frequency stimulation, Ia afferent terminals following stimulation the common peroneal nerve, and bilateral EMG recovery patterns were assessed before training. H reflexes evoked 1.0,...
Background and Purpose: Refinement of robotic exoskeletons for overground walking is progressing rapidly. We describe clinicians' experiences, evaluations, training strategies using in spinal cord injury rehabilitation wellness settings perceptions exoskeleton benefits risks developments that would enhance utility. Methods: convened focus groups at 4 model system centers. A court reporter took verbatim notes provided a transcript. Research staff used thematic coding approach to summarize...
Regular use of prostheses is critical for individuals with lower limb amputations to achieve everyday mobility, maintain physical and psychological health, a better quality life. Use influenced by numerous factors, prosthetic design playing role in facilitating the extent mobility capabilities an amputee could achieve. Thus, can either lead safe efficient gait or biomechanically inefficient behavior. In addition increased energy expenditure, such behavior expose user risk secondary...
Related ArticleThis is a corrected version. See correction statement in: http://mhealth.jmir.org/2017/11/e167/
Gait and balance impairments are linked with reduced mobility increased risk of falling. Wearable sensing technologies, such as inertial measurement units (IMUs), may augment clinical assessments by providing continuous, high-resolution data. This study tested validated the utility a single IMU to quantify gait features during routine outcome tests, evaluated changes in sensor-derived measurements age, sex, height, weight. Age-ranged, healthy individuals (N = 49, 20-70 years) wore lower back...
Abstract Background We know little about the budget impact of integrating robotic exoskeleton over-ground training into therapy services for locomotor training. The purpose this study was to estimate adding existing strategies in rehabilitation people with spinal cord injury. Methods A Budget Impact Analysis (BIA) conducted using data provided by four Spinal Cord Injury (SCI) Model Systems hospitals. Hospitals estimates utilization and costs injury who participated calendar year 2017....
Abstract Background Falls are a leading cause of accidental deaths and injuries worldwide. The risk falling is especially high for individuals suffering from balance impairments. Retrospective surveys studies simulated in lab conditions frequently used informative, but prospective information about real-life falls remains sparse. Such data essential to address fall risks develop detection alert systems. Here we present the results study investigating proof-of-concept, smartphone-based,...
Abstract Background Falls are a common complication experienced after stroke and can cause serious detriments to physical health social mobility, necessitating dire need for intervention. Among recent advancements, wearable airbag technology has been designed detect mitigate fall impact. However, these devices have not nor validated the population thus, may inadequately falls in individuals with stroke-related motor impairments. To address this gap, we investigated whether...
In humans, a chronic spinal cord injury (SCI) impairs the excitability of pathways mediating early flexor reflexes and increases late, long-lasting reflexes. We hypothesized that in individuals with SCI, locomotor training will alter behavior these spinally mediated Nine who had either clinically motor complete or incomplete SCI received an average 44 sessions. Flexor reflexes, elicited via sural nerve stimulation right left leg, were recorded from ipsilateral tibialis anterior (TA) muscle...
Monitoring physical activity and leveraging wearable sensor technologies to facilitate active living in individuals with neurological impairment has been shown yield benefits terms of health quality living. In this context, accurate measurement estimates from these sensors are vital. However, manufacturers generally only provide standard proprietary algorithms based off healthy estimate metrics which may lead inaccurate population like stroke incomplete spinal cord injury (iSCI). The main...
Abstract Background Persons with spinal cord injury (SCI) may experience both psychological and physiological benefits from robotic locomotor exoskeleton use, knowledgeable users have valuable perspectives to inform future development. The objective of this study is gain insight into the experiences, perspectives, concerns, suggestions on use exoskeletons by civilians veterans living SCI. Methods Participants reported their demographic characteristics extent in an online survey. Then, 28...
Abstract Background Despite the benefits of physical activity for healthy and cognitive aging, 35% adults over age 75 in United States are inactive. Robotic exoskeleton-based exercise studies have shown improving walking function, but most conducted clinical settings with a neurologically impaired population. Emerging technology is starting to enable easy-to-use, lightweight, wearable robots, their impact otherwise older adult population remains mostly unknown. For first time, this study...
Pathologic reorganization of spinal networks and activity-dependent plasticity are common neuronal adaptations after cord injury (SCI) in humans. In this work, we examined changes reciprocal Ia nonreciprocal Ib inhibition locomotor training 16 people with chronic SCI. The soleus H-reflex depression following peroneal nerve (CPN) medial gastrocnemius (MG) stimulation at short conditioning-test (C-T) intervals was assessed before the seated position during stepping. conditioned H reflexes were...
Activity-dependent plasticity as a result of reorganization neural circuits is fundamental characteristic the central nervous system that occurs simultaneously in multiple sites. In this study, we established effects subthreshold transcranial magnetic stimulation (TMS) over primary motor cortex region on tibialis anterior (TA) long-latency flexion reflex. Neurophysiological tests were conducted before and after robotic gait training one person with incomplete spinal cord injury (SCI) while...
Abstract Background Individuals with transfemoral amputations who are considered to be limited community ambulators classified as Medicare functional classification (MFCL) level K2. These individuals usually prescribed a non-microprocessor controlled knee (NMPK) an appropriate foot for simple walking functions. However, existing research suggests that these can benefit from using microprocessor (MPK) and their ambulation, but cannot obtain one due insurance policy restrictions. With steady...