Why PSMAcpc
Sleeping is a vital part of the foundation for good health and well-being throughout your lifetime. Statistics from the World Sleep Society show that up to 45% of people are affected by sleep disorders. Sleep apnea-hypopnea syndrome (SAHS) is the most prevalent sleep disorder caused by an airway blockage. Worldwide, over 100 million people suffer from sleep apnea.
Apnea-Hypopnea Index (AHI) is an index use to indicate the severity of sleep apnea. It is represented by the number of apnea and hypopnea events per hour of sleep. An apnea is defined as an interruption of airflow below 50% for a period of at least 10 seconds. Based on the AHI, the severity of Obstructive Sleep Apnea (OSA) is classified as follows:
SYMPTOMS of SLEEP APNEA
The most common signs and symptoms of Obstructive Sleep Apnea (OSA) include:
Obstructive sleep apnea increases the risk of:
Up to 83% of patients with type 2 diabetes suffer from unrecognized sleep apnea.
PSMAcpc (Physiological Signals Modeling Algorithm) mainly uses physiological signals based on CPC (CardioPulmonary Coupling) theory to analyze basic signal waveforms and establish individual feature models in different states according to the physiological and natural responses of the human body.
The PSMAcpc can accurately identify the sleep health status, including sleep stages (Deep sleep, Light sleep, REM, Awakening), AHI sleep apnea, HRV autonomic nerve activity, the balance of Yin and Yang, etc. According to the results of the PSMAcpc calculation, a report is made to distinguish between health and suboptimal health, and use it as a tracking indicator for health conditioning.
PSMAcpc makes it possible for sleep test popularization, making originally trial, expensive sleep test to be simple and easy. It is very suitable for children and the elderly who are using badly of PSG. Furthermore, Relatively (PSG traditional analysis equipment) cost is low. There are several advantages as
Compact-size, no wires, the participants will not be disturbed by instrument, easy to operate, can detect that occupy at home, accord with the normal sleep habits.
Can be a large number of screening, high accuracy, lower price, also can do multiple screening and follow-up tracking detection.
PSMAcpc is the automatic interpretation of artificial intelligence, gets the reports quickly, and can eliminate human error.
WHAT APPLICATIONS OF PSMAcpc
PSMAcpc can be widely applied to
Apnea-Hypopnea Index (AHI) is an index use to indicate the severity of sleep apnea. It is represented by the number of apnea and hypopnea events per hour of sleep. An apnea is defined as an interruption of airflow below 50% for a period of at least 10 seconds. Based on the AHI, the severity of Obstructive Sleep Apnea (OSA) is classified as follows:
- Normal: AHI<5 per hour
- Mild sleep apnea: 5≤AHI<15 per hour
- Moderate sleep apnea: 15≤AHI<30 per hour
- Severe sleep apnea: AHI≥30 per hour
SYMPTOMS of SLEEP APNEA
The most common signs and symptoms of Obstructive Sleep Apnea (OSA) include:
Obstructive sleep apnea increases the risk of:
- 48% of patients with OSA having high blood pressure
- 3.4 times of patients with OSA having coronary heart disease than ordinary people
- 53% of stroke patients snoring for a long time
- 35% of strokes occur during sleep snoring
- Severe heart and lung failure may cause sudden sleep death
Up to 83% of patients with type 2 diabetes suffer from unrecognized sleep apnea.
PSMAcpc (Physiological Signals Modeling Algorithm) mainly uses physiological signals based on CPC (CardioPulmonary Coupling) theory to analyze basic signal waveforms and establish individual feature models in different states according to the physiological and natural responses of the human body.
The PSMAcpc can accurately identify the sleep health status, including sleep stages (Deep sleep, Light sleep, REM, Awakening), AHI sleep apnea, HRV autonomic nerve activity, the balance of Yin and Yang, etc. According to the results of the PSMAcpc calculation, a report is made to distinguish between health and suboptimal health, and use it as a tracking indicator for health conditioning.
PSMAcpc makes it possible for sleep test popularization, making originally trial, expensive sleep test to be simple and easy. It is very suitable for children and the elderly who are using badly of PSG. Furthermore, Relatively (PSG traditional analysis equipment) cost is low. There are several advantages as
Compact-size, no wires, the participants will not be disturbed by instrument, easy to operate, can detect that occupy at home, accord with the normal sleep habits.
Can be a large number of screening, high accuracy, lower price, also can do multiple screening and follow-up tracking detection.
PSMAcpc is the automatic interpretation of artificial intelligence, gets the reports quickly, and can eliminate human error.
WHAT APPLICATIONS OF PSMAcpc
PSMAcpc can be widely applied to
- Health prevention monitoring
- Treatment & conditioning therapy evalution
- Achieve self-motivation
- Efficacy assessment follow-up
- Major chronic disease treatment, correlation factor determination
- Special research and study
