A5022178138- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Neuroscience and Neural Engineering
- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Transcranial Magnetic Stimulation Studies
- Motor Control and Adaptation
- Vagus Nerve Stimulation Research
- Neural and Behavioral Psychology Studies
- Cerebral Palsy and Movement Disorders
- Heart Rate Variability and Autonomic Control
- Tactile and Sensory Interactions
Arizona State University
2024
Stanford University
2020-2022
A deep brain stimulation system capable of closed loop neuromodulation is a type bidirectional computer interface (dBCI), in which neural signals are recorded, decoded and then used as the input commands for at same site brain. The challenge assuring successful implementation dBCIs Parkinson's disease (PD) to discover decode stable, robust reliable inputs that can be tracked during stimulation, optimize neurostimulation patterns parameters (control policies) motor behaviors interface,...
Assessment of motor signs in Parkinson's disease (PD) requires an in-person examination. However, 50% people with PD do not have access to a neurologist. Wearable sensors can provide remote measures some but require continuous monitoring for several days. A major unmet need is reliable metrics all cardinal signs, including rigidity, from simple short active task that be performed remotely or the clinic.
Closed-loop deep brain stimulation is a novel form of therapy that has shown benefit in preliminary studies and may be clinically available the near future. Initial closed-loop have primarily focused on responding to sensed biomarkers with adjustments amplitude, which often perceptible study participants depending slew or "ramp" rate amplitude changes. These subjective responses ramping can result transient side effects, illustrating ramp unique safety parameter for neural systems. This...
Introduction Proprioceptive error of estimated fingertip position in two-dimensional space is reduced with the addition tactile stimulation applied at fingertip. Tactile input does not disrupt participants’ estimation strategy, as individual vector maps maintain their overall structure. This relationship suggests integration proprioception and information improves proprioceptive estimation, which can also be improved trained mental focus attention. Task attention arousal are physiologically...
Proprioceptive error of estimated fingertip position in two-dimensional space is reduced with the addition tactile stimulation to fingertip. This input does not disrupt subjects’ estimation strategy, as individual vector maps maintain their overall geometric structure. relationship suggests an integration proprioception and sensory information enhance proprioceptive estimation. To better understand this multisensory integration, we explored effect electrotactile vibrotactile fingertips place...
Abstract Background Assessment of motor signs in Parkinson’s disease (PD) has required an in-person examination. However, 50% people with PD do not have access to a neurologist. Wearable sensors can provide remote measures some but require continuous data acquisition for several days. A major unmet need is reliable metrics all cardinal signs, including rigidity, from simple short active task that be performed remotely or the clinic. Objective Investigate whether thirty seconds repetitive...