Article
Engineering, Biomedical
Nathalie Freycenon, Roberto Longo, Laurent Simon
Summary: This study introduces a new algorithm for estimating heart rate in noisy environments for obstructive sleep apnea patients. Through testing, it was found that the accuracy of the algorithm reaches 81% to 98% at different snoring levels, with an RMS error ranging from 1.3 to 4.2 bpm.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Daniele Padovano, Arturo Martinez-Rodrigo, Jose M. Pastor, Jose J. Rieta, Raul Alcaraz
Summary: Researchers have proposed algorithms based on heart rate variability features and machine learning classifiers for the detection of obstructive sleep apnea, but the results obtained through external validation were significantly lower than those from cross-validation, indicating that ML-based OSA detectors trained with public databases may not be suitable for clinical practice.
Article
Pediatrics
Robert L. Myette, Janusz Feber, Henrietta Blinder, Glenda N. Bendiak, Bethany J. Foster, Joanna E. MacLean, Evelyn Constantin, Sherri L. Katz
Summary: This study analyzed the improvement of blood pressure variability in obese youth with sleep-disordered breathing after positive airway pressure treatment, showing significant decreases in nighttime blood pressure. The findings suggest that positive airway pressure treatment can lead to a clinically significant improvement in sympathetic nerve activity in youth with obesity and sleep-disordered breathing.
PEDIATRIC RESEARCH
(2022)
Article
Computer Science, Information Systems
Yining Wang, Wenbin Shi, Chien-Hung Yeh
Summary: This paper presents a novel method that integrates the synchrosqueezing transform (SST) algorithm with the standard cardiopulmonary coupling (CPC) method to quantify cardiopulmonary dynamics for automatic sleep apnea detection. The simulation results showed that the SST-CPC method is robust to both noise level and signal bandwidth, outperforming Fourier-based and Wavelet-based approaches. By integrating SST-CPC features with common-used heart rate and respiratory features, accuracies for per-minute apnea detection improved from 72% to 83%.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Information Systems
Yao Wang, Siyu Ji, Tianshun Yang, Xiaohong Wang, Huiquan Wang, Xiaoyun Zhao, Wang Jinhai
Summary: The study proposes an efficient algorithm to distinguish between hypopnea and apnea events with an accuracy rate greater than 90%.
Article
Clinical Neurology
Lisa M. Walter, Jyothi M. Varkey, Cecilia Gu, Ahmad Bassam, Margot J. Davey, Gillian M. Nixon, Rosemary SC. Horne
Summary: This study examined the effect of treatment on heart rate variability (HRV) in children with Down Syndrome (DS) and sleep disordered breathing (SDB). The results showed that improvement in SDB prevented a decline in HRV, suggesting that managing the severity of SDB can help maintain autonomic control in children with DS.
Article
Computer Science, Artificial Intelligence
Oliver Faust, Ragab Barika, Alex Shenfield, Edward J. Ciaccio, U. Rajendra Acharya
Summary: Sleep apnea is a common condition with increasing cases worldwide. Current diagnosis and treatment monitoring are hindered by expensive and inconvenient examination methods, but Computer-Aided Diagnosis (CAD) systems show potential in improving efficiency. Research findings suggest that using band-pass filters can enhance classification accuracy of RR interval based CAD systems.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Pediatrics
Yunxiao Wu, Leirong Tian, DanDi Ma, Panting Wu, Yufen Tang, Xingran Cui, Zhifei Xu
Summary: The study revealed impaired autonomic nervous function in children with OSA. Low-grade inflammation was found to be an independent risk factor for altered LF/HF ratio in the wake stage. AHI influenced sympathetic-vagal balance during falling asleep.
PEDIATRIC RESEARCH
(2022)
Article
Clinical Neurology
Gian Domenico Pinna, Maria Teresa La Rovere, Elena Robbi, Luigi Tavazzi, Roberto Maestri
Summary: The study found that the variations in heart rate induced by sleep-disordered breathing can differ significantly among patients, revealing four distinct chronotropic effects that are primarily influenced by the hypoxic burden and type of sleep apnea.
JOURNAL OF SLEEP RESEARCH
(2021)
Article
Computer Science, Information Systems
Minsoo Yeo, Hoonsuk Byun, Jiyeon Lee, Jungick Byun, Hak Young Rhee, Wonchul Shin, Heenam Yoon
Summary: This study introduces an automatic algorithm for detecting respiratory events in patients using ECG and respiratory signals. By applying machine learning algorithms, the performance in respiratory event detection and AHI estimation has been improved. The method demonstrates high accuracy in respiratory event detection and shows high correlation with the reference AHI.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Public, Environmental & Occupational Health
Li-Ang Lee, Hai-Hua Chuang, Hui-Shan Hsieh, Chao-Yung Wang, Li-Pang Chuang, Hsueh-Yu Li, Tuan-Jen Fang, Yu-Shu Huang, Guo-She Lee, Albert C. Yang, Terry B. J. Kuo, Cheryl C. H. Yang
Summary: This retrospective case series investigated the effects of adenotonsillectomy on heart rate variability (HRV) indices in children with obstructive sleep apnea (OSA). The results showed that adenotonsillectomy improved HRV indices, indicating improvements in cardiac autonomic function in children with OSA.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Multidisciplinary Sciences
Laurie Thiesse, Luc Staner, Patrice Bourgin, Henri Comtet, Gil Fuchs, Debora Kirscher, Thomas Roth, Jean Yves Schaffhauser, Jay B. Saoud, Antoine U. Viola
Summary: Polysomnographic sleep architecture parameters are commonly used in the diagnosis and treatment of sleep disorders. This paper evaluates the performance of Somno-Art Software in detecting sleep parameter differences between patients with sleep disorders and healthy subjects. The results show that Somno-Art provides comparable results to polysomnography, making it a useful tool for diagnosis and treatment follow-up.
Article
Pediatrics
Hongru Wang, Liang Feng, Huan Zheng, Yibin Zeng, Bin Liu
Summary: The study found that heart rate recovery is closely associated with the severity of obstructive sleep apnea syndrome (OSAS) in children and adolescents, suggesting it might be a promising index for risk stratification and clinical management.
PEDIATRIC RESEARCH
(2021)
Article
Engineering, Biomedical
Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, Chien-Hung Lin, Maysam F. Abbod, Muammar Sadrawi, Jiann-Shing Shieh
Summary: Untreated sleep disorders can harm bodily functions, and a sleep study and monitoring of sleep stages are the first steps in diagnosing these disorders. A cost-effective method for sleep classification based on Electrocardiogram (ECG) input signals is proposed in this study, using a Residual Neural Network (RNN) classifier to stage sleep from Instantaneous Heart Rate (IHR). The results show that ECG data provide valuable information about sleep stages for a large population.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Review
Neurosciences
Haitham S. Al Ashry, Yuenan Ni, Robert J. Thomas
Summary: Analysis of cardiopulmonary coupling (CPC) provides key information about normal and abnormal sleep, offering insights into sleep physiology and pathological conditions. CPC can be used to calculate an automated apnea hypopnea index and demonstrate the impact of different sleep states on sleep disorders, hypertension, glucose metabolism, etc.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Computer Science, Information Systems
Emi Yuda, Masaya Kisohara, Yutaka Yoshida, Junichiro Hayano
Summary: This study found that heart rate variability (HRV) indices are mainly constituted by two common factors related to cardiac vagal function and complexity of heart rate dynamics, respectively, and they differ in their relationships with age and physical activity.
Article
Cardiac & Cardiovascular Systems
Junichiro Hayano, Norihiro Ueda, Masaya Kisohara, Emi Yuda, Eiichi Watanabe, Robert M. Carney, James A. Blumenthal
Summary: The study found that considering the severity of sleep apnea can improve the predictive power of CVHR amplitude for post-AMI mortality. By establishing a percentile regression model and converting Acv into percentile values, the predictive power was significantly improved compared to unadjusted Acv.
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Yuji Motoike, Masahide Harada, Takehiro Ito, Yoshihiro Nomura, Asuka Nishimura, Masayuki Koshikawa, Eiichi Watanabe, Yukio Ozaki, Hideo Izawa
Summary: Tailored ablation index protocol (TAI) has a higher success rate, lower incidence of residual PV potentials/conduction gaps, and lower 1-year AF-recurrence rate compared to force-time integral protocol (FTI) in pulmonary vein isolation (PVI).
JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Junichiro Hayano, Emi Yuda
Summary: The study found that long-term ECG monitoring is more accurate in detecting persistent and transient abnormalities in HRV and HR dynamics compared to 24-hour ECG monitoring, and can differentiate between the two types of abnormalities. Long-term ECG monitoring increases sensitivity and detects more abnormal indices.
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
(2022)
Article
Chemistry, Analytical
Itaru Kaneko, Yutaka Yoshida, Emi Yuda, Junichiro Hayano
Summary: This paper introduces a method for observing microvascular waves using consumer cameras and demonstrates how smart signal processing can be combined with consumer cameras to analyze the global motion of microvascular vasomotion.
Article
Physiology
Junichiro Hayano, Norihiro Ueda, Masaya Kisohara, Yutaka Yoshida, Emi Yuda
Summary: By studying different color temperature lighting combinations, it was found that high-CCT ambient lighting can increase autonomic and psychomotor arousal levels without compromising subjective comfort. This suggests independent control of ambient and task lighting as a potential way to achieve both biological function regulation and subjective comfort.
JOURNAL OF PHYSIOLOGICAL ANTHROPOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Asami Koike, Yoshihiro Sobue, Mayumi Kawai, Masaru Yamamoto, Yukina Banno, Mashide Harada, Ken Kiyono, Eiichi Watanabe
Summary: The study indicates that remote monitoring-guided walking exercise for 3 months in patients with CRT significantly increased quality of life, active time, and exercise capacity without any adverse effects.
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
(2022)
Article
Cardiac & Cardiovascular Systems
Kenichi Hashimoto, Toshio Kinoshita, Yosuke Miwa, Mari Amino, Koichiro Yoshioka, Kenji Yodogawa, Mikiko Nakagawa, Kohki Nakamura, Eiichi Watanabe, Kentaro Nakamura, Tetsu Watanabe, Yuji Kasamaki, Takanori Ikeda
Summary: The combination of w-LPs and NSVT was identified as a significant risk factor for lethal ventricular tachyarrhythmias and cardiac death in patients with CKD and structural heart disease. NIEMs were found to be important tools for assessing the risk of cardiac events in these patients.
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
(2022)
Article
Cardiac & Cardiovascular Systems
Junichiro Hayano, Emi Yuda
Summary: The study found that the frequency of cyclic variation of heart rate (Fcv) in sleep apnea patients showed considerable night-to-night variability, leading to missed diagnoses on 62% of nights in presumed moderate-to-severe cases and in at least one night in 88% of patients. This suggests that patients with mild sleep apnea exhibit greater night-to-night variability and would benefit from long-term assessment.
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
(2022)
Article
Pediatrics
Noriko Motoki, Yuji Inaba, Takumi Shibazaki, Yuka Misawa, Satoshi Ohira, Makoto Kanai, Hiroshi Kurita, Teruomi Tsukahara, Tetsuo Nomiyama
Summary: This study investigated the impact of gestational weight gain on infant neurodevelopment using data from a nationwide Japanese cohort study. The results showed that insufficient maternal GWG was associated with a higher risk of developmental delay in communication, gross motor, fine motor, problem-solving, and personal-social domains.
EUROPEAN JOURNAL OF PEDIATRICS
(2022)
Review
Physiology
Junichiro Hayano, Emi Yuda
Summary: Assessment of autonomic function using heart rate variability (HRV) relies on the classical power framework, which may lead to erroneous conclusions when applied to long-term HRV. Novel approaches beyond the classical framework are needed to extract more useful information from long-term HRV.
JOURNAL OF PHYSIOLOGICAL ANTHROPOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Yoshihiro Nomura, Masahide Harada, Yuji Motoike, Asuka Nishimura, Masayuki Koshikawa, Takehiro Ito, Yoshihiro Sobue, Fumihiko Kitagawa, Eiichi Watanabe, Yukio Ozaki, Hideo Izawa
Summary: This study evaluated the predictability of S-QRS score for the recovery of LVEF in PeAF patients with LVSD undergoing CA. The results showed that S-QRS score was an independent predictor of LVEF normalization, and patients with low S-QRS score had greater LVEF improvement.
PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY
(2022)
Article
Cardiac & Cardiovascular Systems
Taro Makino, Tomohide Ichikawa, Mari Amino, Mari Nakamura, Masayuki Koshikawa, Yuji Motoike, Yoshihiro Nomura, Masahide Harada, Yoshihiro Sobue, Eiichi Watanabe, Ken Kiyono, Koichiro Yoshioka, Yuji Ikari, Yukio Ozaki, Hideo Izawa
Summary: This study aimed to investigate the association between ventricular repolarization instability and acute-phase ventricular tachycardia and ventricular fibrillation (VT/VF) after acute coronary syndrome (ACS), as well as the prognostic role of repolarization instability and heart rate variability (HRV) post-discharge. The study found that acute-phase VT/VF occurred in 7.5% of ACS patients, but T-wave amplitude variability was not predictive of survival post-discharge. However, DC, ?25s, and emergency coronary intervention were independent predictors.
ANNALS OF NONINVASIVE ELECTROCARDIOLOGY
(2023)
Article
Public, Environmental & Occupational Health
Akihito Shimazu, Takeo Fujiwara, Noboru Iwata, Yoko Kato, Norito Kawakami, Nobuaki Maegawa, Mutsuhiro Nakao, Tetsuo Nomiyama, Miho Takahashi, Jun Tayama, Izumi Watai, Makiko Arima, Tomoko Hasegawa, Ko Matsudaira, Yutaka Matsuyama, Yoshimi Miyazawa, Kyoko Shimada, Masaya Takahashi, Mayumi Watanabe, Astushige Yamaguchi, Madoka Adachi, Makiko Tomida, Di Chen, Satomi Doi, Sachiko Hirano, Sanae Isokawa, Tomoko Kamijo, Toshio Kobayashi, Kichinosuke Matsuzaki, Naoko Moridaira, Yukari Nitto, Sayaka Ogawa, Mariko Sakurai, Natsu Sasaki, Mutsuko Tobayama, Kanako Yamauchi, Erika Obikane, Miyuki Odawara, Mariko Sakka, Kazuki Takeuchi, Masahito Tokita
Summary: This study examined the effectiveness of a newly developed work-family life support program on the work-family interface and mental health indicators among Japanese dual-earner couples with a preschool child(/ren) using a randomized controlled trial with a waitlist. The program had significant effects on work-family balance self-efficacy and psychological distress.
JOURNAL OF OCCUPATIONAL HEALTH
(2023)
Article
Engineering, Biomedical
Terumasa Kondo, Atsushi Teramoto, Eiichi Watanabe, Yoshihiro Sobue, Hideo Izawa, Kuniaki Saito, Hiroshi Fujita
Summary: In this study, a two-dimensional convolutional neural network (CNN) was used to predict the short-term prognosis of CCU patients by converting their ECG data into image data. The prediction accuracy was 77.3%. The results suggest that this method could be used to predict the short-term prognosis of CCU patients using ECG waveforms, which has clinical significance in determining treatment strategies and treatment intensity.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE
(2023)