Research
Signal processing for time-series data, benchmarking wearable devices, and building data tools.
Highlights
WearCompare
An iPhone app that lets users compare data from multiple wearable health devices side by side, so people can make informed decisions about which device fits their needs.
Brain Activity during Sport
Your brain activity is fundamentally different when playing table tennis with a human vs a machine. We ran a human subject experiment and compared power spectral densities (PSDs), event-related spectral perturbations (ERSPs), intertrial phase coherences (ITPCs), event-related potentials (ERPs), and event-related phase coherences (ERCOHs) of parieto-occipital source-localized clusters.
Dual-Layer EEG
An approach to cancel noise from mobile electroencephalography (EEG) with novel hardware and signal processing approaches. Dual-layer EEG was originally designed and patented using locomotor tasks (walking, running), but what about whole-body movements? My study benchmarked dual-layer EEG during table tennis. I characterized artifacts, compared signal processing pipelines, and made suggestions for how many sensors are necessary in this approach.
Select Publications
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Novel time-series forecasting method to enhance accuracy of real-time EEG detection for bci-based neurofeedback motor training in individuals with cerebral palsy
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Brain dynamics of balance loss in virtual reality and real-world beam walking
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A table tennis serve versus rally hit elicits differential hemispheric electrocortical power fluctuations
Select Presentations
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Defining Sleep Onset Latency with Wearable Sensors
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Understanding Bimanual Coordination
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Spectral Power Fluctuations in the Parietal Cortex