Validity analysis of respiratory events of polysomnography using a plethysmography chest and abdominal belt

Park, Do Yang; Kim, Top; Lee, Jung Jun; Ha, Jung Ho; Kim, Hyun Jun

doi:10.1007/s11325-019-01940-1

Cited by 4 publications

(7 citation statements)

References 24 publications

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“…Study [37] adopted a support vector regression (SVR) model to compare RIP calibration methods, where a least-squares approximation (LSQ) model proved to be the most accurate. Study [13] expressed AHI scoring errors measured with RIP in terms of scoring biases with manual scoring, which showed some errors, whereas [54] expressed AHI scoring accuracy through correlation coefficients, which indicated zero error in their experiment. Study [59] demonstrated a high correlation of RIPmeasured pulse wave velocities (PWVs) with brachial PWV measurements, where p < 0.001, which indicates the potential feasibility of RIP in this setting.…”

Section: Discussionmentioning

confidence: 99%

“…The studies were conducted for various applications, including measurement of respiratory volumes [9,27,34,35,37,[44][45][46][47][48][49][50], monitoring of respiratory activity in infants [11,40,50,51], sleep studies in adults [12,13,[52][53][54][55][56], and tracking of selected human activities [36] and smoking [57,58]. The studies [37,38,48] exclusively focused on the calibration of RIP devices, and the studies [11,23,55] analyzed the performance of RIP exclusively in children.…”

Section: Scope Of Usementioning

confidence: 99%

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Artificial Intelligence-Based Algorithms and Healthcare Applications of Respiratory Inductance Plethysmography: A Systematic Review

Rahman,

Chowdhury,

Rasheduzzaman

et al. 2024

Algorithms

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Respiratory Inductance Plethysmography (RIP) is a non-invasive method for the measurement of respiratory rates and lung volumes. Accurate detection of respiratory rates and volumes is crucial for the diagnosis and monitoring of prognosis of lung diseases, for which spirometry is classically used in clinical applications. RIP has been studied as an alternative to spirometry and shown promising results. Moreover, RIP data can be analyzed through machine learning (ML)-based approaches for some other purposes, i.e., detection of apneas, work of breathing (WoB) measurement, and recognition of human activity based on breathing patterns. The goal of this study is to provide an in-depth systematic review of the scope of usage of RIP and current RIP device developments, as well as to evaluate the performance, usability, and reliability of ML-based data analysis techniques within its designated scope while adhering to the PRISMA guidelines. This work also identifies research gaps in the field and highlights the potential scope for future work. The IEEE Explore, Springer, PLoS One, Science Direct, and Google Scholar databases were examined, and 40 publications were included in this work through a structured screening and quality assessment procedure. Studies with conclusive experimentation on RIP published between 2012 and 2023 were included, while unvalidated studies were excluded. The findings indicate that RIP is an effective method to a certain extent for testing and monitoring respiratory functions, though its accuracy is lacking in some settings. However, RIP possesses some advantages over spirometry due to its non-invasive nature and functionality for both stationary and ambulatory uses. RIP also demonstrates its capabilities in ML-based applications, such as detection of breathing asynchrony, classification of apnea, identification of sleep stage, and human activity recognition (HAR). It is our conclusion that, though RIP is not yet ready to replace spirometry and other established methods, it can provide crucial insights into subjects’ condition associated to respiratory illnesses. The implementation of artificial intelligence (AI) could play a potential role in improving the overall effectiveness of RIP, as suggested in some of the selected studies.

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Section: Discussionmentioning

confidence: 99%

Section: Scope Of Usementioning

confidence: 99%

Artificial Intelligence-Based Algorithms and Healthcare Applications of Respiratory Inductance Plethysmography: A Systematic Review

Rahman,

Chowdhury,

Rasheduzzaman

et al. 2024

Algorithms

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“…Natural sleep can be divided into two types, namely rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep [ 35 ]. In REM sleep, the vital signs and metabolic rate of the body are similar to those in the awake stage, and lack of REM sleep can lead to decreased learning ability and even cognitive dysfunction [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

A randomized placebo-controlled double-blind study of dexmedetomidine on postoperative sleep quality in patients with endoscopic sinus surgery

Miao

Chen

et al. 2022

BMC Anesthesiol

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Background Postoperative sleep disorder is common and may cause aggravated postoperative pain, delirium, and poor prognosis. We accessed the effect of intraoperative intravenous dexmedetomidine on postoperative sleep quality in patients with endoscopic sinus surgery. Methods This single-center, double-blind, placebo-controlled randomized clinical trial enrolled a total of 110 participants aged 18 years to 65 years who were scheduled to receive endoscopic sinus surgery. Placebo (normal saline) or dexmedetomidine infusion (load dose 0.5 μg kg−1 over 10 min, followed by maintenance dose 0.2 ug kg−1 h−1) during surgery. The primary outcome was postoperative sleep quality. Secondary outcomes were postoperative Ramsay sedation scores, Visual Analog Scale (VAS) scores, serum cortisol, 5-hydroxytryptamine (5-HT) and hypocretin, delirium, and postoperative nausea and vomiting (PONV). Results Among enrolled 110 patients, 55 were randomized to administer intraoperative dexmedetomidine and placebo. In total, 14 patients (7 in each group) were excluded because of protocol deviations, and 96 patients (48 in each group) were included in the per-protocol analysis. The dexmedetomidine group had a significantly higher sleep efficiency index(SEI) (66.85[3.00] vs 65.38[3.58]), the ratio of rapid eye movement sleep to total sleep(REM)(13.63[1.45] vs 12.38[2.11]) and lower arousal index (AI) (7.20[1.00] vs 8.07[1.29]), higher Ramsay sedation score at post-operation 1 h, 12 h point, lower VAS scores at post-operation 1 h, 12 h, 24 h point, lower cortisol, higher 5-HT and hypocretin in serum than the placebo group. Conclusion In this randomized clinical trial, dexmedetomidine can improve the sleep quality of patients undergoing endoscopic sinus surgery. These results suggest that this therapy may be a viable strategy to enhance postoperative sleep quality in patients with endoscopic sinus surgery. Trial registration The study was approved by the Bethune International Peace Hospital Ethics Committee (2021-KY-129) and registered in the Chinese Clinical Trial Registry (www.chictr.org.cn/index.aspx, 28/09/2021).

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“…However, these methods result in inaccurate sleep data. The IR-UWB radar sensors have recently been proposed as a potentially viable tool to monitor heart rhythm and breathing patterns 20 . IR-UWB can detect fine movements of the chest during breathing within a distance of approximately 1 m, enabling contactless respiratory monitoring.…”

Section: Discussionmentioning

confidence: 99%

Non-contact diagnosis of sleep breathing disorders using infrared optical gas imaging: a prospective observational study

Shin

Yang

et al. 2022

Sci Rep

Self Cite

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Full-night polysomnography (PSG) is the gold standard for diagnosing obstructive sleep apnea (OSA). However, PSG requires several sensors to be attached to the patient’s body, which can interfere with sleep. Moreover, non-contact devices that utilize impulse radio ultra-wideband radar have limitations as they cannot directly measure respiratory airflow. This study aimed to detect respiratory events through infrared optical gas imaging and verify its feasibility for the diagnosis of OSA. Data collection through PSG and infrared optical gas imaging was simultaneously conducted on 50 volunteers. Respiratory airflow signal was extracted from the infrared optical gas images using an automated algorithm. We compared the respiratory parameters obtained from infrared optical gas imaging with those from PSG. All respiratory events scored from the infrared optical gas imaging were strongly correlated with those identified with standard PSG sensors. Based on a receiver operating characteristic curve, infrared optical gas imaging was deemed appropriate for the diagnosis of OSA. Infrared optical gas imaging accurately detected respiratory events during sleep; therefore, it may be employed as a screening tool for OSA.

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Validity analysis of respiratory events of polysomnography using a plethysmography chest and abdominal belt

Cited by 4 publications

References 24 publications

Artificial Intelligence-Based Algorithms and Healthcare Applications of Respiratory Inductance Plethysmography: A Systematic Review

Artificial Intelligence-Based Algorithms and Healthcare Applications of Respiratory Inductance Plethysmography: A Systematic Review

A randomized placebo-controlled double-blind study of dexmedetomidine on postoperative sleep quality in patients with endoscopic sinus surgery

Non-contact diagnosis of sleep breathing disorders using infrared optical gas imaging: a prospective observational study

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