A5004979132- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Non-Invasive Vital Sign Monitoring
- Functional Brain Connectivity Studies
- Heart Rate Variability and Autonomic Control
- Advanced Memory and Neural Computing
- Cardiovascular Health and Disease Prevention
- Hemodynamic Monitoring and Therapy
- Motor Control and Adaptation
- Action Observation and Synchronization
- Biomedical and Engineering Education
- Neurological disorders and treatments
- Neural and Behavioral Psychology Studies
- Genomics and Rare Diseases
- Speech and Audio Processing
- Biomedical Text Mining and Ontologies
- Cardiovascular Health and Risk Factors
- Blind Source Separation Techniques
- Muscle activation and electromyography studies
Microsoft (United States)
2015-2022
University of Washington
2013-2019
Bioengineering Center
2019
Microsoft Research (United Kingdom)
2017
Washington Center
2015
The majority of subjects who attempt to learn control a brain–computer interface (BCI) can do so with adequate training. Much like when one learns type or ride bicycle, BCI users report transitioning from deliberate, cognitively focused mindset near automatic as training progresses. What are the neural correlates this process skill acquisition? Seven were implanted electrocorticography (ECoG) electrodes and had multiple opportunities practice 1D task. As became proficient, strong initial...
Objective. Recently, electrocorticography-based brain–computer interfaces have been successfully used to translate cortical activity into control signals for external devices. However, the utility of such devices would be greatly enhanced by somatosensory feedback. Direct stimulation cortex evokes sensory perceptions, and is thus a promising option closing loop. Before this can implemented in humans it necessary evaluate how changes stimulus parameters are perceived extent which they...
While non-invasive, cuffless blood pressure (BP) measurement has demonstrated relevancy in controlled environments, ambulatory is important for hypertension diagnosis and control. We present both in-lab BP estimation results from a diverse cohort of participants.Participants (N=1125, aged 21-85, 49.2% female, multiple hypertensive categories) had measured over 24-hour period with subset also receiving measurements. Radial tonometry, photoplethysmography (PPG), electrocardiography (ECG),...
Retrieving, reviewing, and synthesizing technical information can be time-consuming challenging, particularly when requiring specialized expertise, as is the case of variant assessment for rare disease diagnostics. To address this challenge, we developed Evidence Aggregator (EvAgg), a generative AI tool designed diagnosis that systematically extracts relevant from scientific literature any human gene. EvAgg provides thorough current summary observed genetic variants their associated clinical...
Continuous cardiac monitoring of healthy and unhealthy patients can help us understand the progression heart disease enable early treatment. Optical pulse sensing is an excellent candidate for continuous mobile cardiovascular health indicators, but optical signals are susceptible to corruption from a number noise sources, including motion artifact. Therefore, before higher-level indicators be reliably computed, corrupted data must separated valid data. This especially difficult task in...
Brain-Computer Interfaces (BCIs) benefit greatly from performance feedback, but current systems lack automatic, task-independent feedback. Cortical responses elicited user error have the potential to serve as state-based feedback BCI decoders. To gain a better understanding of local potentials, we investigate responsive cortical power underlying error-related potentials (ErrPs) human cortex during one-dimensional center-out task, tracking topography high-gamma (70-100 Hz) band (HBP) specific...
Synchronized phase estimates between oscillating neuronal signals at the macroscale level reflect coordinated activities assemblies. Recent electrophysiological evidence suggests presence of significant spontaneous synchrony within resting state. The purpose this study was to investigate synchrony, including directional interactions, in state subdural electrocorticographic recordings better characterize patterns regional interactions across lateral cortical surface during We estimated...
A motor cortex-based brain-computer interface (BCI) creates a novel real world output directly from cortical activity. Use of BCI has been demonstrated to be learned skill that involves recruitment neural populations are linked control as well those not. The nature interactions between these populations, however, remains largely unknown. Here, we employed data-driven approach assess the interaction both local and remote areas during use an electrocorticographic BCI, method which allows...
The activation of the sensorimotor cortex as measured by electrocorticographic (ECoG) signals has been correlated with contralateral hand movements in humans, precisely level individual digits. However, relationship between and multiple synergistic finger neural signal detected ECoG not fully explored. authors used intraoperative high-resolution micro-ECoG (µECoG) on to link across several context-specific motor tasks.
Generative AI has the potential to transform knowledge work, but further research is needed understand how workers envision using and interacting with generative AI. We investigate development of tools support domain experts in examining task delegation design human-AI interactions. Our focused on designing a assistant aid genetic professionals analyzing whole genome sequences (WGS) other clinical data for rare disease diagnosis. Through interviews 17 genetics professionals, we identified...
Introduction: Continuous, minimally invasive monitoring of arterial health has significant potential for both improving our understanding early progression arteriosclerosis/atherosclerosis and enabling treatment. Though devices exist that can report heart rate variability in fully ambulatory settings, pulse pressure wave morphology, including velocity (PWV) augmentation index (AIx) - two emerging indicators stiffness is still currently limited to benchtop systems requiring an expert operator...
INTRODUCTION: Our inability to tickle ourselves has led the hypothesis that, when an efferent signal is produced and sent motor system, a correlate, known as efference copy, created distinguish sensations by subject's own actions from those generated external stimuli. METHODS: To demonstrate existence of such entity, we used electrocorticography (ECoG) measure activation timing in human primary (M1), premotor (PM) somatosensory (S1) neurons preparation for finger movements 4 subjects with...
Motor-based brain-computer interface (BCI) use is a learned skill that has been shown to involve multiple cortical areas, though it only explicitly requires modulation of small area tissue. The roles being played by these other areas have not yet determined. In this study, using an electrocorticographic (ECoG) model, we apply novel computational approach quantifying the strength and nature interactions between putative primary motor cortex ventral premotor (PMv) during BCI across...
INTRODUCTION: Numerous experiments using non-invasive cortical stimulation have demonstrated transient increases in motor plasticity and improved functional rehabilitation humans. We examined the feasibility effects of performing repetitive human electrocorticography (ECoG) based an activity-dependent manner. METHODS: Four epileptic patients undergoing subdural ECoG grid implants were enrolled this study. Electrical stimuli triggered by spontaneous movement leading to upper extremity...