Apple inc. (20240285230). METHODS FOR ASSESSING SLEEP CONDITIONS simplified abstract
Contents
METHODS FOR ASSESSING SLEEP CONDITIONS
Organization Name
Inventor(s)
Matt Travis Bianchi of Santa Cruz CA (US)
Alexander Mark Chan of San Carlos CA (US)
Fredrik J. Sannholm of Kirkkonummi (FI)
Lifeng Miao of Menlo Park CA (US)
Siddharth Khullar of San Jose CA (US)
METHODS FOR ASSESSING SLEEP CONDITIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240285230 titled 'METHODS FOR ASSESSING SLEEP CONDITIONS
The abstract describes a method for assessing sleep conditions such as sleep apnea using multi-night assessments. A respiration signal is processed to identify apnea/hypopnea events and estimate the severity of sleep apnea.
- Respiration signal is acquired from a sensor strip and processed by a computing device.
- Segments of the respiration signal are classified to identify apnea/hypopnea events.
- Normalization of segments ensures consistent input size for classification.
- Nightly parameters are estimated to indicate the severity of sleep apnea.
- Multi-night parameters are calculated from nightly parameters for a comprehensive assessment.
Potential Applications: - Medical diagnostics for sleep disorders - Monitoring and management of sleep apnea - Research in sleep medicine and respiratory health
Problems Solved: - Efficient and accurate assessment of sleep apnea - Monitoring of respiratory patterns during sleep - Estimation of severity of sleep disorders over multiple nights
Benefits: - Early detection and intervention for sleep apnea - Personalized treatment plans based on severity of condition - Improved quality of sleep and overall health outcomes
Commercial Applications: Title: "Advanced Sleep Apnea Assessment Technology for Healthcare Providers" This technology can be utilized by sleep clinics, hospitals, and healthcare providers for diagnosing and managing sleep disorders. It can also be integrated into wearable devices for at-home monitoring.
Questions about Sleep Apnea Assessment Technology: 1. How does this technology improve the accuracy of diagnosing sleep apnea? - The technology processes respiration signals to identify apnea/hypopnea events, providing a more detailed assessment of sleep disorders. 2. What are the potential implications of using multi-night assessments for estimating the severity of sleep apnea? - Multi-night assessments can offer a more comprehensive understanding of an individual's sleep patterns and the progression of sleep apnea over time.
Original Abstract Submitted
sleep conditions such as sleep apnea can be assessed using a multi-night assessments. a respiration signal (e.g., acquired from a sensor strip) can be processed via a computing device. the respiration signal can be segmented and the segments can be classified to identify one or more apnea/hypopnea events. in some examples, some of the segments can be normalized such that each segment input for classification can be of the same size. the identified one or more apnea/hypopnea events can be used to estimate a nightly parameter indicative of a severity of (or presence of) sleep apnea. the nightly parameters from a multi-night period can be used to estimate a multi-night parameter indicative of the severity of (or presence of) sleep apnea. in some examples, quality checks can be performed to filter out some data (e.g., to exclude data from entire nights or exclude a portion of data from individual nights).
