Snoring Becomes a Health Warning Signal — Largan Subsidiary Introduces First-Ever Snore Energy Analysis

Snoring Becomes a Health Warning Signal — Largan Subsidiary Introduces First-Ever Snore Energy Analysis

Dr. Chuang Li-Bang, Chairman of the Taiwan Society of Sleep Medicine, pointed out that sleep disorders are gradually becoming a major health concern. Statistics show that the prevalence of chronic insomnia in Taiwan is approximately 10.7%, affecting around 2.15 million people. Among them, snoring is particularly common, with prevalence rates of about 60% in men and 40% in women. However, most people tend to overlook the potential health risks associated with snoring.

To improve the efficiency of sleep health monitoring, LARGAN Health AI-Tech launched the nation’s first medical-grade sleep cloud system, “DOMII,” in 2023. By integrating wireless sensing and cloud technology, it records nighttime physiological signals without disturbing sleep, helping physicians analyze sleep conditions. It also became the first home sleep testing product in Taiwan to receive certification from the Taiwan Society of Sleep Medicine.

After three years of clinical data collection and development, the company introduced an upgraded version this year, “Snore Master • DOMII Guardian.” Building upon its existing capabilities—including synchronized monitoring of sleep architecture, sleep apnea, ECG signals, and blood oxygen levels—the new version expands the “Snore Cloud” and adds the nation’s first snore energy analysis function along with a remote sleep monitoring system. Patients can use a mobile app to conduct multi-night continuous monitoring at home, with data uploaded daily to medical institutions. Healthcare providers can monitor conditions in real time and provide timely alerts, while physicians can use long-term data for more precise diagnosis and follow-up.

In the field of snoring acoustics, both domestic and international research have accumulated years of foundational knowledge. By combining clinical medicine with acoustic studies, snoring analysis technology can accurately identify the source of snoring and the location of airway obstruction. This not only provides a new perspective for diagnosing sleep-disordered breathing but also lays the groundwork for broader applications of acoustic-based medical diagnostics.

Dr. Li Kuo-Hsi explained that studies on the acoustic location and frequency-energy distribution of snoring show that different airway obstructions produce distinct acoustic characteristics. For example, low-frequency snoring typically originates from vibrations of the soft palate or uvula, mid-frequency snoring from the tonsils or epiglottis, and high-frequency snoring from the base of the tongue. Therefore, analyzing snoring sounds allows precise identification of the obstruction site.

Dr. Li Li-Ang also reminded that snoring is not only disruptive to others but also harmful to oneself. It is an important clinical indicator of sleep apnea and is closely associated with chronic conditions such as hypertension, cardiovascular diseases, and diabetes. Years of medical research have shown that certain snoring patterns may serve as significant independent risk factors for carotid atherosclerosis. As a result, snoring is increasingly regarded in clinical practice as an important health risk signal, with strong implications for stroke prevention.

Professor Li Hsueh-Yu from the Taiwan Society of Sleep Medicine added that screening through snoring spectrum and energy analysis can help determine whether snoring vibrations have characteristics that may damage blood vessels. This approach may provide early warnings before visible thickening or structural changes occur in the carotid arteries. As a result, comprehensive sleep monitoring—including snoring analysis—has evolved from simply assessing sleep quality to becoming an important early warning tool for cardiovascular health. Research indicates that up to two-thirds of patients with early-stage obstructive sleep apnea may already have underlying risks of vascular hardening.