Article
Computer Science, Information Systems
Cheng Yang, Menghan Hu, Guangtao Zhai, Xiao-Ping Zhang
Summary: Quality sleep is essential for human well-being, but sleep deprivation is a worldwide problem. This article proposes a system for estimating vital signs during sleep using a thermal camera, which shows improved portability and reliability compared to existing nonintrusive systems. The system effectively extracts vital signs signals from thermal images by employing a graph-based denoising scheme. Experimental results demonstrate the superiority of the proposed system over state-of-the-art methods. The system has low time complexity and does not require model training, making it suitable for deployment in smart home environments for sleep abnormality detection and disease screening.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Ming Lei, Daning Yang, Xiaoming Weng
Summary: This article introduces an integrated sensor fusion (ISF) solution based on MIMO radar, camera, and on-device computing. The solution combines the strengths of MIMO radar and camera for traffic object detection and classification. Compared to existing distributed device sensor fusion solutions, ISF performs better in terms of latency and total cost of ownership (TCO), while also simplifying the time synchronization among sensors.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2022)
Article
Engineering, Electrical & Electronic
Songlin Zhuang, Dongxu Lei, Xinghu Yu, Mingsi Tong, Weiyang Lin, Juan Jose Rodriguez-Andina, Yang Shi, Huijun Gao
Summary: This article reviews the state-of-the-art in microinjection techniques for biomedical applications, and introduces an autonomous omnidirectional microinjection (AOM) system based on updates of manual injection hardware to solve technical problems, with great potential for future development.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2023)
Article
Engineering, Biomedical
Johannes Zschocke, Julian Leube, Martin Glos, Oxana Semyachkina-Glushkovskaya, Thomas Penzel, Ronny P. Bartsch, Jan W. Kantelhardt
Summary: It has been demonstrated in this study that heart rate and respiratory rate during sleep can be reconstructed using a state-of-the-art accelerometer placed on the wrist, eliminating the need for additional sensors. This methodology can provide valuable insights into sleep characteristics and aid in the diagnosis and treatment of sleep disorders.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Mark van Gastel, Sander Stuijk, Sebastiaan Overeem, Johannes P. van Dijk, Merel M. van Gilst, Gerard de Haan
Summary: Polysomnography is currently the gold standard for diagnosing sleep disorders, but has limitations such as restricting patient mobility and requiring a visit to a specialized clinic. Remote photoplethysmography using video is an emerging technique for detecting sleep disorders without these drawbacks. Tested on patients with obstructive sleep apnea, the camera system showed promising accuracy in monitoring pulse, respiration, and blood oxygen saturation.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Chemistry, Analytical
Yolanda Castillo-Escario, Hatice Kumru, Ignasi Ferrer-Lluis, Joan Vidal, Raimon Jane
Summary: Patients with spinal cord injury have an increased risk of sleep-disordered breathing, and this study used a novel smartphone system to monitor SDB in SCI patients. The results showed significantly higher AHI in SCI patients compared to controls, with most SCI patients predominantly sleeping in supine position. This study highlights the importance of simple cost-effective sleep monitoring tools for detecting and managing SDB in SCI patients.
Article
Computer Science, Information Systems
Maksym Gaiduk, Juan Jose Perea Rodriguez, Ralf Seepold, Natividad Martinez Madrid, Thomas Penzel, Martin Glos, Juan Antonio Ortega
Summary: The objective of this research is to provide an algorithm for the automatic classification of sleep stages using non-obtrusive signals. After reviewing relevant research, the authors successfully developed an accurate and stable algorithm, which was proven to be effective and feasible through practical results.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Chemistry, Analytical
Ignasi Ferrer-Lluis, Yolanda Castillo-Escario, Josep Maria Montserrat, Raimon Jane
Summary: Research suggests poor sleep quality as a risk factor for multiple diseases and explores the feasibility of using smartphones to monitor sleep positions, aiming to improve diagnoses and treatments for position-dependent conditions such as positional obstructive sleep apnea (pOSA).
Article
Computer Science, Artificial Intelligence
Mustafa Habeeb Chyad, Sadik Kamel Gharghan, Haider Qasim Hamood, Ahmed Saleh Hameed Altayyar, Salah L. Zubaidi, Hussein Mohammed Ridha
Summary: Sleep apnea is a common respiratory disorder, and this paper proposes a prediction system based on soft computing algorithms. By combining MVO and ANN, the system can accurately predict sleep apnea events, achieving high accuracy and sensitivity.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Automation & Control Systems
Gregory Johnson, Paolo Pianosi, Rajesh Rajamani
Summary: This article presents a system based on wearable inertial measurement unit that estimates three-dimensional respiratory displacements on the thoracoabdominal surface. It combines various algorithms and techniques to achieve real-time estimation of gravity components and accurate estimation of breathing frequency.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Environmental Sciences
William D. Moscoso-Barrera, Elena Urrestarazu, Manuel Alegre, Alejandro Horrillo-Maysonnial, Luis Fernando Urrea, Luis Mauricio Agudelo-Otalora, Luis F. Giraldo-Cadavid, Secundino Fernandez, Javier Burguete
Summary: This study focuses on the development of a simple and autonomous processing system for detecting obstructive sleep apnea. The system analyzes polysomnography signals and shows good estimation of awake/sleep states and apneas/hypopneas, making it suitable for possible OSA treatments.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Computer Science, Information Systems
Yilin Liu, Shijia Zhang, Mahanth Gowda
Summary: This article introduces NeuroPose, a system that demonstrates the feasibility of 3-D finger motion tracking using wearable electromyography (EMG) sensors. The system combines anatomical constraints of finger motion with machine learning architectures to extract 3-D finger motion from EMG data. The system achieves high accuracy and robustness to sensor variations and user wrist positions. It also validates the mirrored bilateral training approach for prosthetic devices.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Review
Neurosciences
Bastien Lechat, Hannah Scott, Ganesh Naik, Kristy Hansen, Duc Phuc Nguyen, Andrew Vakulin, Peter Catcheside, Danny J. Eckert
Summary: Current approaches to quantify and diagnose sleep disorders and circadian rhythm disruption are imprecise and laborious. Newer emerging approaches aim to overcome these constraints and better align diagnostic and treatment approaches to underlying pathology. This includes more advanced EEG signal feature detection and novel oxygenation metrics to capture hypoxia more accurately.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Computer Science, Hardware & Architecture
Seung-Woo Ko, Hyukjin Chae, Kaifeng Han, Seungmin Lee, Dong-Wook Seo, Kaibin Huang
Summary: This article explores the feasibility of using V2X technology for vehicular positioning, highlighting the advantages of V2X over traditional technologies and proposing new scenarios for V2X-based positioning. It also identifies limitations in current positioning techniques and presents potential research directions for overcoming obstacles to achieve fully autonomous driving.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Ignasi Ferrer-Lluis, Yolanda Castillo-Escario, Josep Maria Montserrat, Raimon Jane
Summary: This study aims to investigate how smartphones can be used to monitor and treat sleep position at home. The development of an Android application successfully monitored sleep positions and demonstrated effectiveness in managing desaturation events.
Article
Clinical Neurology
Ilona Merikanto, Yves Dauvilliers, Frances Chung, Yun Kwok Wing, Luigi De Gennaro, Brigitte Holzinger, Bjorn Bjorvatn, Charles M. Morin, Thomas Penzel, Christian Benedict, Adrijana Koscec Bjelajac, Ngan Yin Chan, Colin A. Espie, Harald Hrubos-Strom, Yuichi Inoue, Maria Korman, Anne-Marie Landtblom, Damien Leger, Kentaro Matsui, Sergio Mota-Rolim, Michael R. Nadorff, Giuseppe Plazzi, Catia Reis, Juliana Yordanova, Markku Partinen
Summary: An international survey study reveals that post-acute sequelae of COVID-19 symptoms are more prevalent among severe cases and long-lasting sleep problems are at the core of these symptoms. Understanding the importance of sleep-related symptoms has clinical relevance in diagnosing and treating long-COVID.
JOURNAL OF SLEEP RESEARCH
(2023)
Article
Clinical Neurology
Yan Wang, Ingo Fietze, Matthew Salanitro, Thomas Penzel
Summary: This study evaluated the value of the STOP-BANG questionnaire (SBQ) in screening for obstructive sleep apnea (OSA) and found that it has low specificity. Compared to SBQ, the oxygen desaturation index (ODI) has higher specificity and diagnostic value in diagnosing OSA.
SLEEP AND BREATHING
(2023)
Article
Clinical Neurology
Amro Daboul, Markus Krueger, Tatyana Ivanovska, Anne Obst, Ralf Ewert, Beate Stubbe, Ingo Fietze, Thomas Penzel, Norbert Hosten, Reiner Biffar, Andrea Cardini
Summary: Obstructive sleep apnea is a common disorder potentially related to various comorbidities. This study used geometric morphometrics to explore the association between craniofacial morphology and obstructive sleep apnea severity. The results suggest that craniofacial size and asymmetry are not correlated, while brachycephaly and larger nasal proportions may be weakly associated with obstructive sleep apnea severity, but this association disappears after controlling for age-related shape variation.
JOURNAL OF SLEEP RESEARCH
(2023)
Article
Clinical Neurology
Serena Scarpelli, Alessandra De Santis, Valentina Alfonsi, Maurizio Gorgoni, Charles M. Morin, Colin Espie, Ilona Merikanto, Frances Chung, Thomas Penzel, Bjorn Bjorvatn, Yves Dauvilliers, Brigitte Holzinger, Yun K. Wing, Markku Partinen, Giuseppe Plazzi, Luigi De Gennaro
Summary: Recent investigations have found that COVID-19 patients may continue to experience symptoms for 2-3 months after the onset of the infection. This study examined sleep and dream alterations in patients with long-COVID and identified the factors that contribute to these alterations. The results showed that long-COVID patients had more severe sleep problems compared to short-COVID patients. Additionally, the number of post-acute symptoms and psychological factors were found to be important determinants of sleep and dream alterations in long-COVID individuals.
JOURNAL OF SLEEP RESEARCH
(2023)
Article
Clinical Neurology
Elin H. Thorarinsdottir, Thorarinn Gislason, Allan Pack, Samuel T. Kuna, Thomas Penzel, Fang Han, Qing Yun Li, Peter A. Cistulli, Ulysses J. Magalang, Nigel McArdle, Bhajan Singh, Brendan T. Keenan
Article
Biology
Yaopeng J. X. Ma, Johannes Zschocke, Martin Glos, Maria Kluge, Thomas Penzel, Jan W. Kantelhardt, Ronny P. Bartsch
Summary: Manual sleep-stage scoring is the gold standard but not suitable for long-term studies and population level assessment. Deep learning techniques combined with physiological data from wrist-worn devices can provide fast and reliable automatic sleep-stage classification. This paper introduces a temporal convolutional neural network that automatically scores sleep stages from raw heartbeat and wrist actigraphy data. Transfer learning significantly improves training efficiency and accuracy. More large public databases are expected to further enhance the performance of deep learning approaches in automatic sleep scoring.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Engineering, Biomedical
Ahsan Habib, Mohammod Abdul Motin, Thomas Penzel, Marimuthu Palaniswami, John Yearwood, Chandan Karmakar
Summary: In this study, an automatic technique for multi-stage sleep classification using photoplethysmographic (PPG) signal is proposed. A convolutional neural network (CNN) is used to directly learn from the PPG signal and classify multiple sleep stages. Experimental results show that the proposed CNN model outperforms existing state-of-the-art models (classical and deep learning) in the literature.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Review
Biochemistry & Molecular Biology
Oxana Semyachkina-Glushkovskaya, Ivan Fedosov, Thomas Penzel, Dongyu Li, Tingting Yu, Valeria Telnova, Elmira Kaybeleva, Elena Saranceva, Andrey Terskov, Alexander Khorovodov, Inna Blokhina, Juergen Kurths, Dan Zhu
Summary: Emerging evidence suggests that sleeping brain activates the brain waste removal system (BWRS) to remove wastes and toxins from the central nervous system (CNS). Meningeal lymphatic vessels (MLVs) play an important role in the BWRS. Night stimulation of the BWRS is being discussed as a promising strategy for neurorehabilitation medicine.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Medicine, General & Internal
Markus Krueger, Anne Obst, Till Ittermann, Olaf Bernhardt, Tatyana Ivanovska, Marek Zygmunt, Ralf Ewert, Ingo Fietze, Thomas Penzel, Reiner Biffar, Amro Daboul
Summary: This study confirms the association between menopause and obstructive sleep apnea (OSA), with post-menopausal women having a higher risk of OSA.
JOURNAL OF CLINICAL MEDICINE
(2023)
Review
Health Care Sciences & Services
Jason Ellis, Luigi Ferini-Strambi, Diego Garcia-Borreguero, Anna Heidbreder, David O'Regan, Liborio Parrino, Hugh Selsick, Thomas Penzel
Summary: One in ten adults in Europe suffer from chronic insomnia, which is characterized by ongoing sleep difficulties and impaired daily functioning. Different clinical care practices and healthcare accessibility across Europe result in varied treatment approaches. This article provides an update on the clinical management of chronic insomnia in Europe, summarizing old and new treatments, discussing challenges, and offering suggestions for optimal clinical management.
Review
Clinical Neurology
Hua Qin, Ingo Fietze, Diego R. Mazzott, Nicolas Steenbergen, Jan F. Kraemer, Martin Glos, Niels Wessel, Lijun Song, Thomas Penzel, Xiaowen Zhang
Summary: Obstructive sleep apnea is a common sleep-related breathing disorder with various impacts on the body. There are multiple treatment options available, but selecting the appropriate treatment is challenging due to the heterogeneity of the condition and the diversity of treatment modalities. Therefore, an objective marker is needed to assess the treatment response in patients.
JOURNAL OF SLEEP RESEARCH
(2023)
Article
Clinical Neurology
Kathrin Rassow, Anne Obst, Matthias Nauck, Henry Voelzke, Beate Stubbe, Ingo Fietze, Thomas Penzel, Ralf Ewert, Anke Hannemann
Summary: Poor sleep quality or sleep deprivation may be associated with decreased bone mineral density, particularly in women. Higher insomnia scores and lower sleep quality scores were related to higher bone turnover in women but not in men. However, there were no significant associations between sleep characteristics and bone strength.
JOURNAL OF SLEEP RESEARCH
(2023)
Article
Chemistry, Analytical
Gizem Yilmaz, Xingyu Lyu, Ju Lynn Ong, Lieng Hsi Ling, Thomas Penzel, B. T. Thomas Yeo, Michael W. L. Chee
Summary: This study utilized machine learning to predict nocturnal blood pressure using single-channel fingertip plethysmography. The results demonstrated the accuracy of the predictions, highlighting the potential for a cuffless method to continuously monitor blood pressure during sleep.
Review
Medicine, General & Internal
Fernando Mendes St Anna, Rodrigo Cesar Lima Resende, Lucas Bonacossa St Anna, Sergio Livio Menezes Couceiro, Romero Bonacossa Soares Pinto, Mariana Bonacossa St Anna, Liaw Wen Chao, Jozsef Constantin Szeles, Eugenijus Kaniusas
REVISTA DA ASSOCIACAO MEDICA BRASILEIRA
(2023)
Article
Cardiac & Cardiovascular Systems
Laila Gbaoui, Christoph Hoeschen, Eugenijus Kaniusas, Saher Khatib, Stephan Gretschel, Ernst Wellnhofer
Summary: Central blood pressure (cBP) is a better indicator of cardiovascular morbidity and mortality than peripheral BP (pBP). This study developed a novel blind source separation tool to extract the underlying blind pressure waveforms in pBP, identify the compounds that lead to pressure waveform distortion, and estimate cBP.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
