18309386. SYSTEMS AND METHODS FOR SLEEP STATE TRACKING simplified abstract (Apple Inc.)

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SYSTEMS AND METHODS FOR SLEEP STATE TRACKING

Organization Name

Apple Inc.

Inventor(s)

Mohsen Mollazadeh of San Diego CA (US)

Vignesh Kalidas of Richardson TX (US)

Nader E. Bagherzadeh of Santa Clara CA (US)

SYSTEMS AND METHODS FOR SLEEP STATE TRACKING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18309386 titled 'SYSTEMS AND METHODS FOR SLEEP STATE TRACKING

Simplified Explanation

The patent application describes a wearable device with a motion-tracking sensor that can track sleep. Here are the key points:

  • The wearable device uses a motion-tracking sensor to estimate and classify different sleep states during multiple periods.
  • The start of the sleep tracking session is determined by detecting a rest state, while the end is determined by an activity state.
  • To improve accuracy, the classified sleep states can be filtered and smoothed.
  • The data from the motion-tracking sensor undergoes a signal quality check to ensure accuracy.
  • The classification of sleep states and the display of sleep tracking results are subject to passing signal quality checks.

Potential Applications

  • Sleep tracking devices for individuals who want to monitor their sleep patterns and improve their sleep quality.
  • Sleep research studies that require accurate and objective sleep data collection.
  • Sleep clinics and healthcare providers who need to assess and diagnose sleep disorders.

Problems Solved

  • Provides a convenient and non-intrusive way to track sleep without the need for external devices or sensors.
  • Improves the accuracy of sleep state classification by filtering and smoothing the data.
  • Ensures the reliability of sleep tracking results by performing signal quality checks.

Benefits

  • Allows individuals to gain insights into their sleep patterns and make adjustments to improve their sleep quality.
  • Enables researchers to collect objective sleep data for studies and analysis.
  • Provides healthcare professionals with accurate sleep information for diagnosing and treating sleep disorders.


Original Abstract Submitted

A wearable device including a motion-tracking sensor can be used for tracking sleep. The data from the motion-tracking sensor can be to estimate/classify the sleep state for multiple periods and/or to determine sleep intervals. In some examples, to improve performance, sleep state classification can be performed on data within a sleep tracking session. The start of the sleep tracking session can be defined by detecting a rest state and the end of the sleep tracking session can be defined by an activity state. In some examples, to improve performance, the classified sleep states for the multiple periods can be filtered and/or smoothed. In some examples, a signal quality check can be performed for the data from the motion-tracking sensor. In some examples, the classification of the sleep states and/or the display of the results of sleep tracking can be subject to passing one or more signal quality checks.

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