A study for Nobel non-contact sleep respiration disorder measuring system utilizing micro-wave radar and application to screening of sleep apnea syndrome and other sleep respiratory disorder.

Gotoh, Shigeyoshi; Matsui, Takemi; Yamashita, Kouji; Omori, Takashi; Tsuji, Kazuhiko; Nishimoto, Yutaka; Tokiwa, Miwa; Ono, Hiromi

doi:10.4286/jjmi.84.317

Cited by 1 publication

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“…Based on these findings, we began to investigate the applicability of small microwave Doppler radar modules for the measurement of human vital signs [7,11,12]. In our recent studies, we compared the clinical usefulness of radar and CO 2 sensors [13], radar and SpO 2 sensors [14], and radar and PSG [15]. As the absolute values of respiration amplitude change depending on sleep state or changes in posture, we developed a method for detecting hypopnea based on relative decreases in amplitude every 30 seconds, without the use of a baseline value.…”

Section: Introductionmentioning

confidence: 99%

The Development of a Dual-Radar System with Automatic Hypopnea Threshold Optimization for Contact-Free Sleep Apnea-Hypopnea Syndrome Screening

Gotoh¹,

Matsui²,

Naka³

et al. 2018

Journal of Sensors

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Full-night polysomnography (PSG) examination is regarded as the gold standard for the diagnosis of sleep apnea-hypopnea syndrome (SAHS). However, PSG requires the placement of multiple sensors on the head, face, and chest, which can impose a heavy strain on patients. Therefore, in the present study, we aimed to develop a contact-free, stand-alone SAHS screening system that eliminates body movement artifacts based on automatic optimization of the hypopnea threshold. Doppler radar sensors were placed beneath a mattress. In order to achieve high sensitivity and specificity, the hypopnea was based on the average amplitude of respiration during the full sleep period. The threshold was determined via receiver operating characteristic (ROC) analysis using PSG as a reference. We conducted full-night clinical tests of the proposed system in 27 patients with suspected SAHS (49 ± 12 years) at Tomei Atsugi Hospital. When predicting the severity of SAHS with an apnea-hypopnea index (AHI) of >30/h using PSG as a reference, the proposed system achieved a sensitivity of 100% and a specificity of 100%. These results represent a drastic improvement over those of our previous study (sensitivity: 90%; specificity: 79%).

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