Systems and methods for detecting and managing physiological patterns
Inventors
Levendowski, Daniel J. • Veljkovic, Bratislav • Matthews, Amy • Velimirovic, Vladislav • Angel, Elise Ramos • Berka, Christine • Davis, Gene • Zoranovic, Aleksandar • Cvetinovic, Milenko • Westbrook, Philip R.
Assignees
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Publication Number
US-10953192-B2
Publication Date
2021-03-23
Expiration Date
Abstract
Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.
Core Innovation
The disclosed invention provides a method for managing sleep quality of a patient in a hospital environment by collecting physiological signal data using a data acquisition unit electrically coupled to at least one sensor affixed to the patient. The physiological signal data is filtered into a plurality of frequency bands corresponding to a plurality of power spectra waveforms, and features in the plurality of power spectra waveforms are extracted to identify a plurality of sleep stages over a time period.
A graphical user interface is generated that includes panes for presenting physiological signals needed to stage sleep and power spectra waveforms associated with sleep staging results. The graphical user interface includes a first pane displaying at least one physiological signal for a first portion of the time period on a first time scale, and a second pane displaying a second portion of the time period on a second time scale that is longer than the first time scale.
The second portion comprises at least a portion of the time period previous to the first portion, and the second pane displays a subset of sleep stages corresponding to the second portion and at least one power spectra waveform corresponding to the second portion. The method characterizes an etiology of sleep quality based on comparison across different time scales and manages the sleep quality based on the characterized etiology.
Claims Coverage
The partial content includes two independent claims, each defining the core pipeline of cross-time-scale physiological-signal and power-spectra comparison for etiology-based sleep quality management, presented in a multi-pane graphical user interface.
Hospital sleep-quality management via cross-time-scale etiology characterization
A method for managing sleep quality of a patient in a hospital environment by collecting physiological signal data using a data acquisition unit electrically coupled to at least one sensor affixed to the patient, filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms, extracting features in the plurality of power spectra waveforms to identify a plurality of sleep stages over a time period, generating a graphical user interface comprising a plurality of panes, and characterizing an etiology of sleep quality based on a comparison of the at least one physiological signal on the first time scale against the at least one power spectra waveform on the second time scale, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.
System implementing cross-time-scale etiology characterization with multi-pane GUI
A system for managing sleep quality of a patient comprising a data acquisition unit electrically coupled to at least one sensor configured to affix to the patient, wherein the data acquisition unit collects physiological signal data; at least one hardware processor; and a storage device storing instructions operable to filter the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms, extract features in the plurality of power spectra waveforms to identify a plurality of sleep stages over a time period, generate a graphical user interface comprising a plurality of panes including a first pane with at least one physiological signal on a first time scale and a second pane with a second portion on a second time scale longer than the first time scale that includes at least a portion of the time period previous to the first portion, display a subset of sleep stages corresponding to the second portion and at least one power spectra waveform corresponding to the second portion, and characterize an etiology of sleep quality based on comparison of the at least one physiological signal on the first time scale against the at least one power spectra waveform on the second time scale, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.
Across the independent claims, the primary coverage centers on filtering physiological signal data into frequency-band power spectra waveforms, extracting features for sleep-stage identification, presenting results in a multi-pane graphical user interface spanning a shorter first time scale and a longer second time scale, and characterizing an etiology of sleep quality via comparison across those time scales to manage sleep quality based on the characterized etiology.
Stated Advantages
Enables managing sleep quality of the patient based on the characterized etiology of sleep quality.
Provides a graphical user interface that supports comparison between physiological signal timing on a first time scale and power spectra waveform timing on a second time scale for etiology characterization.
Documented Applications
Hospital sleep-quality management of a patient using wearable/sensor-collected physiological signal data and a multi-pane graphical user interface for caregiver/system review and etiology-based sleep quality management.
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