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WO-2026093935-A1 - METHOD, SYSTEM, AND WEARABLE APPARATUS FOR ASSESSING SLEEP QUALITY OF A SUBJECT

WO2026093935A1WO 2026093935 A1WO2026093935 A1WO 2026093935A1WO-2026093935-A1

Abstract

Disclosed is a method (400) for assessing sleep quality of a subject. The method includes obtaining (402) electroencephalogram (EEG) data associated with the subject from one or more electrodes (104) coupled proximally to a cephalic region of the subject, during a wakefulness state. Further, the method includes determining (404) EEG signal characteristics indicative of detection of a transitional sleep state based on analysis of the EEG data in real time. Furthermore, the method includes correlating (406) the EEG signal characteristics with predefined threshold neurophysiological data corresponding to the subject. Moreover, the method includes determining (408) a deviation based on the correlation and generating (410) a sleep quality report corresponding to the subject based on the deviation. Furthermore, the method includes predicting (412), based on the sleep quality report, a sleep duration capable of restoring one or more cognitive functions associated with the subject.

Inventors

  • VASANTH, Nitin
  • ASHRAF, Asif Muhammad
  • Valappil, Geetha Vasandan

Dates

Publication Date
20260507
Application Date
20251029
Priority Date
20241029

Claims (20)

  1. I CLAIM:
  2. 1. A method (400) for assessing sleep quality of a subject, the method (400) comprising: obtaining (402) electroencephalogram (EEG) data associated with the subject from one or more electrodes (104) coupled proximally to a cephalic region of the subject, during a wakefulness state,
  3. determining (404) EEG signal characteristics indicative of detection of a transitional sleep state based on analysis of the EEG data in real time;
  4. correlating (406) the EEG signal characteristics with predefined threshold neurophysiological data corresponding to the subject;
  5. determining (408) a deviation based on the correlation;
  6. generating (410) a sleep quality report corresponding to the subject based on the deviation; and
  7. predicting (412), based on the sleep quality report, a sleep duration capable of restoring one or more cognitive functions associated with the subject.
  8. 2. The method (400) as claimed in claim 1, wherein prior to correlating (406) the EEG signal characteristics comprises:
  9. generating one or more auditory stimuli for the subject;
  10. acquiring the EEG data corresponding to the one or more auditory stimuli, wherein the EEG data comprises at least one of auditory evoked potentials (AEPs) and auditory steady-state responses (ASSRs); and
  11. determining the EEG signal characteristics based on the EEG data, wherein the EEG signal characteristics indicative of detection of one of: the transitional sleep state or partial sleep stages.
  12. 3, The method (400) as claimed in claim 1 comprising:
  13. generating an adaptive sensory intervention for the subject based on the detection of the transitional sleep state, wherein the adaptive sensory intervention comprises a recommendation for modulation of one or more sensory interventional properties configured to facilitate a transition of the subject from into or out of sleep and wherein the transitional sleep state is one of: a hypnagogic state, a hypnopompic state and a wakefulness state associated with presence of spindle-like activity; and
  14. modulating the one or more sensory interventional properties of the adaptive sensory intervention in real-time based on variation in the EEG signals in real-time.
  15. 4. The method (400) as claimed in claim 3, comprising:
  16. receiving data corresponding to planned schedule of the subject;
  17. predicting a circadian rhythm disruption based on the received data; determining a jet lag debt based on the circadian rhythm disruption; and mitigating the jet lag debt based on modulation of the adaptive sensory intervention.
  18. 5. The method (400) as claimed in claim 1, wherein correlating the EEG signal characteristics with the predefined threshold data comprises:
  19. extracting one or more neurophysiological parameters from the EEG signal characteristics; and
  20. comparing values of one or more neurophysiological parameters to values corresponding to the predefined threshold neurophysiological data, wherein the predefined threshold neurophysiological data is associated with a sleep adequate state.

Description

METHOD, SYSTEM, AND WEARABLE APPARATUS FOR ASSESSING SLEEP QUALITY OF A SUBJECT' FIELD OF THE INVENTION [001] The present invention relates generally to the field of neurophysiological assessment techniques, and more particularly relates to a method, a system, and a wearable apparatus for assessing sleep quality of a subject. BACKGROUND [002] Sleep is a fundamental biological process that is essential for maintaining optimal cognitive function, emotional stability, and physical health. It is not merely a passive state of rest but involves active neurophysiological mechanisms that contribute to memory’ consolidation, learning, and overall well-being. Scientific research has consistently demonstrated that inadequate or poorquality sleep can lead to diminished cognitive performance, mood disturbances, and increased susceptibility to various health disorders. [003] Traditionally, sleep quality has been assessed using polysomnography (PSG), which is a multi-parametric test that records biophysiological changes during sleep, including electroencephalogram (EEG), electrooculogram (EOG), electromyogram (EMG), and other vital parameters. While the PSG is considered a standard for sleep analysis, the PSG may require specialized equipment and clinical settings, making the PSG impractical for routine or large-scale use. In recent years, wearable devices have emerged as an alternative, offering the ability to monitor physiological signals such as heart rate, respiration, and movement during sleep. However, the wearable devices still rely on data acquisition during the sleep period and may be intrusive or uncomfortable for the user. [004] Despite advancements in sleep monitoring technologies, there remains a significant gap in existing solutions that allow for the assessment of sleep quality without, requiring data collection during sleep. The existing solutions are either too complex, invasive, or dependent on continuous monitoring, which limits their applicability in everyday scenarios. Moreover, these solutions do not provide real-time insights into the cognitive state of an individual during wakefulness, which could be indicative of sleep deprivation or replenishment needs. [005] Therefore, there lies a need for an improved solution that can address the above-mentioned issues and the limitations of the existing systems and solutions. SUMMARY [006] This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention. This summary is neither intended to identify key or essential inventive concepts of the invention nor is it intended to determine the scope of the invention. [007] In accordance with an embodiment of the present disclosure, a method for assessing sleep quality of a subject is disclosed. The method includes obtaining electroencephalogram (EEG) data associated with the subject from one or more electrodes coupled proximal to a cephalic region of the subject, during a wakefulness state. Further, the method includes determining EEG signal characteristics indicative of detection of a transitional sleep state based on analysis of the EEG data in real time. The transitional sleep state is one of a hypnagogic state and a hypnopompic state. Furthermore, the method includes correlating the EEG signal characteristics with predefined threshold neurophysiological data corresponding to the subject. Moreover, the method includes determining a deviation based on the correlation. Further, the method includes generating a sleep quality report corresponding to the subject based on the deviation. Furthermore, the method includes predicting, based on the sleep quality report, a sleep duration capable of restoring one or more cognitive functions associated with the subject. [008] According to another embodiment of the present disclosure, a system for assessing sleep quality of a subject is disclosed. The system includes a wearable apparatus worn by the subject, proximal to a cephalic region of the subject, one or more electrodes coupled to the wearable apparatus, and one or more processors in communication with the one or more electrodes. The one or more processors are configured to obtain Electroencephalogram (EEG) data associated with the subject from the one or more electrodes during a wakefulness state. Further, the one or more processors are configured to determine EEG signal characteristics indicative of detection of a transitional sleep state based on analysis of the EEG data in real time. The transitional sleep state is one of a hypnagogic state and a hypnopompic state. Furthermore, the one or more processors are configured to correlate the EEG signal characteristics with predefined threshold neurophysiological data corresponding to the subject. Moreover, the one or more processors are configured to determine a deviation based on the correlation and generate a sleep quality report corresponding to the subject based on the de