Related Experiment Video
Updated: Jan 3, 2026
09:54
A Model to Simulate Clinically Relevant Hypoxia in Humans
Published on: December 22, 2016
9.2K
Obstructive sleep apnea screening by heart rate variability-based apnea/normal respiration discriminant model
Chikao Nakayama1, Koichi Fujiwara, Yukiyoshi Sumi
1Department of Systems Science, Kyoto University, Kyoto, Japan.
Physiological Measurement
|November 15, 2019
Summary
A new home screening system for obstructive sleep apnea (OSA) uses heart rate variability (HRV) and machine learning. This method offers a simple, effective way to detect OSA, improving patient diagnosis and treatment.
Area of Science:
- Biomedical Engineering
- Cardiology
- Sleep Medicine
Background:
- Obstructive sleep apnea (OSA) is prevalent but often undiagnosed due to limitations in home detection and polysomnography accessibility.
- The autonomic nervous system's response to apnea events, reflected in heart rate variability (HRV), presents a potential biomarker for screening.
Purpose of the Study:
- To develop a simple, home-based screening system for obstructive sleep apnea (OSA).
- To leverage heart rate variability (HRV) analysis and machine learning for OSA screening.
Main Methods:
- Developed an apnea/normal respiration (A/N) discriminant model using random forest, trained on the PhysioNet apnea-ECG database.
- Introduced an apnea/sleep ratio for final OSA diagnosis based on HRV analysis.
- Validated the method using clinical polysomnography (PSG) data.
Main Results:
- The proposed HRV-based method achieved a sensitivity of 76% and a specificity of 92% in screening OSA.
- Performance is comparable to existing portable sleep monitoring devices used in sleep labs.
Conclusions:
- The developed system offers a user-friendly and effective approach for home-based OSA screening.
- This method has the potential to significantly improve OSA diagnosis rates and facilitate timely treatment.
Related Concept Videos
01:20Assessment of Ventilation I: Respiratory Rate
1.8K
Assessment of Ventilation
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
1.8K
01:21Sleep Apnea
424
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
The condition is more prevalent among...
424
01:19Special considerations while measuring oxygen saturation
857
Assessing respiratory rate concurrently with pulse measurement is fundamental to patient care, providing valuable insights into the patient's respiratory function. The normal breathing rate for an adult usually falls within a normal range of 12 to 20 breaths per minute. Abnormal respiratory rates can signal underlying health conditions or the need for immediate intervention.
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is...
857
01:26Respiratory Volumes and Capacities I
1.5K
Assessing the respiratory rate and rhythm for a complete minute is crucial for evaluating the breathing pattern. Even a minor increase in the patient's average respiratory rate, by as little as three to five breaths per minute, is an early and vital indicator of respiratory distress. Patients with a respiratory rate exceeding twenty-four breaths per minute require close monitoring to determine the physiological alterations. This careful observation is essential for prompt recognition and...
1.5K
01:23Assessment of Respiration
1.8K
The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
1.8K
01:29Assessment of Ventilation II: Respiratory Depth and Rhythm
2.3K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
2.3K