- Tactile and Sensory Interactions
- Neuroscience and Neural Engineering
- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Non-Invasive Vital Sign Monitoring
- Optical Coherence Tomography Applications
- Botulinum Toxin and Related Neurological Disorders
- Ocular and Laser Science Research
- Musculoskeletal pain and rehabilitation
- AI and Big Data Applications
- Gait Recognition and Analysis
- ECG Monitoring and Analysis
- Physical Education and Training Studies
- Cardiovascular and exercise physiology
- Advanced Sensor and Energy Harvesting Materials
- Balance, Gait, and Falls Prevention
- Advanced Technologies and Applied Computing
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Genetic Neurodegenerative Diseases
Spaulding Rehabilitation Hospital
2024-2025
Harvard University
2024-2025
Insigneo
2020-2024
Institute of Information and Communication Technologies
2024
University of Sheffield
2020-2024
This study presents a novel wearable solution integrating Polymer Optical Fiber (POF) sensors into knee sleeve to monitor flexion/extension (F/E) patterns during walking. POF offer advantages such as flexibility, light weight, and robustness electromagnetic interference, making them ideal for applications. However, when one integrates these sleeve, they exhibit non-linearities, including hysteresis mode coupling, which complicate signal interpretation. To address this issue, Long Short-Term...
Tai Chi, an Asian martial art, is renowned for its health benefits, particularly in promoting healthy aging among older adults, improving balance, and reducing fall risk. However, methodological challenges hinder the objective measurement of adherence to proficiency performing a training protocol, critical outcomes. This study introduces framework using wearable sensors machine learning monitor Chi proficiency. Data were collected from 32 participants with inertial units (IMUs) while six...
Sensory information is conveyed by populations of neurons, and coding strategies cannot always be deduced when considering individual neurons. Moreover, depends on the number neurons available composition population multiple classes with different response properties are available. Here, we study in human tactile afferents employing a recently developed simulator mechanoreceptor firing activity. First, highlight interplay within each class. We demonstrate that optimal afferent density to...
The human fingertip can detect small tactile features with a spatial acuity roughly the width of fingerprint ridge. However, how individual ridges deform under contact to support accurate and high-precision feedback is currently unknown. complex mechanical structure glabrous skin, composed multiple layers intricate morphology within which mechanoreceptors are embedded, makes this question challenging. Here, we used optical coherence tomography image track sub-surface deformations hundreds...
Abstract X-linked dystonia parkinsonism (XDP) is a neurogenetic combined movement disorder involving both and dystonia. Complex, overlapping phenotypes result in difficulties clinical rating scale assessment. We performed wearable sensor-based analyses XDP participants to quantitatively characterize disease phenomenology as potential trial endpoint. Wearable sensor data was collected from 10 symptomatic patients 3 healthy controls during standardized examination. Disease severity assessed...
The skin is our largest sensory organ and innervated by afferent fibers carrying tactile information to the spinal cord onto brain. density with which different classes of afferents innervate not constant but varies considerably across body regions. However, precise estimates innervation are only available for some parts, such as hands, total number inconsistent incomplete. Here we reconcile provide plausible ranges best fiber types innervating regions skin, using evidence from dorsal root...
The human fingertip can detect small tactile features with a spatial acuity roughly the width of fingerprint ridge. However, how individual ridges deform under contact to support accurate and high-precision feedback is currently unknown. complex mechanical structure glabrous skin, composed multiple layers intricate morphology within which mechanoreceptors are embedded, makes this question challenging. Here, we used optical coherence tomography image track sub-surface deformations hundreds...
The human fingertip can detect small tactile features with a spatial acuity roughly the width of fingerprint ridge. However, how individual ridges deform under contact to support accurate and high-precision feedback is currently unknown. complex mechanical structure glabrous skin, composed multiple layers intricate morphology within which mechanoreceptors are embedded, makes this question challenging. Here, we used optical coherence tomography image track sub-surface deformations hundreds...
Tai Chi, an Asian martial art, is renowned for its health benefits, particularly in promoting healthy aging among older adults, improving balance, and reducing fall risk. However, methodological challenges hinder the objective measurement of adherence to proficiency performing a training protocol, critical outcomes. This study introduces framework using wearable sensors machine learning monitor Chi proficiency. Data were collected from 32 participants with inertial units (IMUs) while six...
Sensory information is conveyed by populations of neurons, and coding strategies cannot always be deduced when considering individual neurons. Moreover, depends on the number neurons available composition population multiple classes with different response properties are available. Here, we study in human tactile afferents employing a recently developed simulator mechanoreceptor firing activity. First, demonstrate that optimal afferent density for conveying maximal feature under...