Identifying and strengthening physiological/neurophysiological states predictive of superior performance
Inventors
Bach, David • Chelian, Suhas • DEGUZMAN, PAUL • Dmochowski, Jacek • Kruse, Amy • MCBURNETT, WILL • Miller, Steven L • NUGENT, III, THOMAS F. • Sajda, Paul
Assignees
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Publication Number
US-12376775-B2
Publication Date
2025-08-05
Expiration Date
Abstract
To identify physiological states that are predictive of a person's performance, a system provides physiological and behavioral interfaces and a data processing pipeline. Physiological sensors generate physiological data about the person while performing a task. The behavioral interface generates performance data about the person while performing the task. The pipeline collects the physiological and performance data along with reference data from a population of people performing the same or similar tasks. In various implementations, the physiological states are brain states. In one implementation, the pipeline computes bandpower ratios. In another implementation, the pipeline decomposes the physiological data into frequency-banded components, identifies brain states derived from the decomposed data—for example, clusters of correlations of decomposed data envelopes—grades the performance data, compares the graded performance data to the brain states, and identifies statistical relationships between the brain states and levels of performance.
Core Innovation
The invention relates to a computer-implemented method that obtains sensor data from a set of physiological sensors equipped on a person during time windows preceding and encompassing exposure to a first stimulus. The method decomposes the sensor data into components and identifies correlations between characteristics of the decomposed sensor data to identify a first set of physiological states, and measures and quantifies a first response of the person to the first stimulus.
The method further identifies correlations between the first set of physiological states and the first response, and between the sensor data or derivatives of the sensor data and the first response. The method obtains a new set of sensor data during a time window preceding exposure of the person to a second stimulus, identifies a current physiological state based on the new set of sensor data, compares the current physiological state with the first set of physiological states, and generates an expected value of a second response of the person to the second stimulus.
The invention also includes a system comprising a set of physiological sensors configured to be attached to a person and configured to generate first and second sets of sensor data during time windows preceding and encompassing exposure to first and second stimuli. A data processing pipeline is configured to decompose sensor data into components, identify correlations, identify physiological states, measure and quantify a first response, compare a second physiological state with the first set of physiological states, and generate an expected value of a second response based on the comparison.
Claims Coverage
The document includes two independent claims. Across these independent claims, the inventive features center on correlation-based identification of physiological states from decomposed sensor data tied to quantified stimulus responses, followed by comparison of a current physiological state to prior physiological states to generate an expected value for a subsequent response.
Generating expected value of a second response based on compared physiological states
Obtaining physiological sensor data around a first stimulus, decomposing the sensor data into components, identifying correlations to infer a first set of physiological states, measuring and quantifying a first response, identifying correlations linking physiological states and response, obtaining new sensor data before a second stimulus, identifying a current physiological state, comparing the current physiological state with the first set of physiological states, and generating an expected value of a second response based on the comparison.
System with physiological sensors and data processing pipeline to generate expected value of a second response
A set of physiological sensors configured to generate first and second sets of sensor data during time windows preceding and encompassing exposure to first and second stimuli, and a data processing pipeline configured to decompose sensor data into components, identify correlations, identify physiological states, measure and quantify a first response, compare a second physiological state with the first set of physiological states, and generate an expected value of a second response based on the comparison.
Across the independent claims, the core coverage is the same: correlations derived from decomposed physiological sensor data are used to identify physiological states tied to a measured response to a first stimulus, and a second inferred physiological state is compared to the prior physiological-state set to generate an expected value of a second response.
Stated Advantages
Enables generation of an expected value of a second response of the person to the second stimulus based on comparing physiological states inferred from sensor data.
Documented Applications
Employee cognitive-training study reporting increased cognitive efficiency after a boost/intervention period.
Portfolio manager case study where unsupervised clustering of EEG functional-connectivity patterns yields distinct brain states correlated with transaction quality, with functional connectivity and HRV associated with higher performance.
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