Article
Engineering, Biomedical
Fahimeh Mohagheghian, Dong Han, Andrew Peitzsch, Nishat Nishita, Eric Ding, Emily L. Dickson, Danielle DiMezza, Edith M. Otabil, Kamran Noorishirazi, Jessica Scott, Darleen Lessard, Ziyue Wang, Cody Whitcomb, Khanh-Van Tran, Timothy P. Fitzgibbons, David D. McManus, Ki H. Chon
Summary: This study proposes an approach to optimize the quality assessment of PPG signals. By using an ensemble-based feature selection scheme, the method achieves high accuracy in classifying PPG segments. The approach demonstrates robustness against dynamic variations and different physical activities, making it suitable for various wearable devices.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Lorenzo Bachi, Lucia Billeci, Maurizio Varanini
Summary: This paper presents a QRS detection algorithm based on moving average filters, which makes decisions based on the features of the QRS complex and achieves satisfactory performance on benchmark databases. Despite not reaching the highest published performance levels, the proposed QRS detection method enhances computational efficiency while maintaining high accuracy.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Analytical
Alexander Neshitov, Konstantin Tyapochkin, Evgeniya Smorodnikova, Pavel Pravdin
Summary: The paper introduces an algorithm for heart rate variability estimation using photoplethysmography, which is able to effectively detect peaks and identify corrupted signal parts, demonstrating good accuracy in peak-to-peak intervals detection and HRV metric estimation.
Review
Engineering, Biomedical
Anderson Faria Claret, Karina Rabello Casali, Tatiana Sousa Cunha, Matheus Cardoso Moraes
Summary: Emotions play a vital role in human cognition and have garnered significant interest in the field of artificial intelligence and machine learning. However, accurately identifying human emotions remains a challenge due to various factors and physiological changes. This study conducted a systematic review to explore the current trends in the detection, recognition, and classification of emotions based on cardiac signals. The findings provide insights into techniques for designing automatic emotion recognition applications using low-cost, wearable, and unobtrusive devices.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Egle Butkeviciute, Liepa Bikulciene, Tomas Blazauskas
Summary: This study investigates the application of continuous non-invasive bio-signal recordings in daily life activities using smart devices and cloud-based technologies. A new ECG feature extraction algorithm for movement-contaminated signals was proposed and validated through comparisons with other methods. This research is significant for real-time data processing and health monitoring.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Biotechnology & Applied Microbiology
Saad Abdullah, Abdelakram Hafid, Mia Folke, Maria Linden, Annica Kristoffersson
Summary: Photoplethysmography is a non-invasive technique used for measuring vital signs and identifying individuals with increased disease risk. PPGFeat is a MATLAB toolbox that allows for the analysis of raw photoplethysmography data, including preprocessing techniques, calculation of derivatives, and identification of fiducial points. Evaluating PPGFeat's performance resulted in a 99% accuracy in identifying fiducial points, providing a valuable resource for researchers analyzing photoplethysmography signals.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Chemistry, Analytical
Sergio Rinella, Simona Massimino, Piero Giorgio Fallica, Alberto Giacobbe, Nicola Donato, Marinella Coco, Giovanni Neri, Rosalba Parenti, Vincenzo Perciavalle, Sabrina Conoci
Summary: This paper compares the effectiveness of photoplethysmography (PPG) and electrocardiography (ECG) in detecting emotional states and finds that the accuracy of PPG technology is comparable to that of ECG technology. Furthermore, the participants' emotional psychological states can influence the psychophysiological responses recorded during experimental tests.
Article
Engineering, Electrical & Electronic
Philip Mehrgardt, Matloob Khushi, Simon Poon, Anusha Withana
Summary: This study introduces a multimodal heart rate and phase sensing device, along with a deep learning model that can accurately derive heart rate by fusing multi-channel data. Experimental results demonstrate improved accuracy in heart rate measurements under different activities like stationary, walking, and running.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Gael Vila, Christelle Godin, Sylvie Charbonnier, Aurelie Campagne
Summary: The study developed a quality index to estimate missing samples in HR signals and analyzed the impact of data loss on feature extraction in PPG-based HR signals. Results showed that using the quality index could reduce errors in estimating heart rate and HRV features caused by data loss.
Article
Medicine, General & Internal
Edem Allado, Mathias Poussel, Justine Renno, Anthony Moussu, Oriane Hily, Margaux Temperelli, Eliane Albuisson, Bruno Chenuel
Summary: The study evaluated the accuracy of remote photoplethysmography imaging in measuring respiratory rate and found good agreement with standard measurement methods, allowing for clinical use.
JOURNAL OF CLINICAL MEDICINE
(2022)
Review
Computer Science, Information Systems
Yizhao Zhou, Shuang Song, Shiwei Wang, Yalong Wan, Tian Yang, Xiaopeng Yu, Menglian Zhao
Summary: Biomedical signals such as ECG, EEG, and PPG are important for early diagnosis of diseases. Low power consumption is crucial for long-term ambulatory monitoring. The direct digital conversion (DDC) technique reduces power consumption by simplifying the readout chain. This paper reviews DDC for biopotential and bio-optical signal acquisition, including state-of-the-art architectures and circuit implementations.
Article
Engineering, Biomedical
George R. E. Bradley, Panayiotis A. Kyriacou
Summary: This study proposes a novel PPG denoising algorithm and demonstrates its effectiveness in reducing noise, smoothing signals, and enhancing signal regularity through a comprehensive evaluation of a large dataset. The algorithm also shows potential for efficient processing of large datasets and real-time applications.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Clinical Neurology
Davide Benedetti, Umberto Olcese, Paolo Frumento, Andrea Bazzani, Simone Bruno, Paola D'Ascanio, Michelangelo Maestri, Enrica Bonanni, Ugo Faraguna
Summary: The study investigated the reliability of pulse photoplethysmographic detection by Fitbit ChargeHR in a natural setting. Results showed that FBCHR had higher accuracy in estimating HR during sleep and lower correlation during wakefulness, with even lower correlation for HRs >100 bpm. Therefore, FBCHR is suitable for sleep-related research in healthy individuals under free-living conditions.
JOURNAL OF SLEEP RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Chao Lian, Yiming Yang, Xiaodong Yu, Hui Sun, Yuliang Zhao, Guanglie Zhang, Wen Jung Li
Summary: Arrhythmia is a significant symptom of cardiovascular diseases and accurately measuring heart rate is crucial for its detection. This study proposes a method that uses a smartphone camera to accurately measure human heart rate. By employing signal fusion, region of interest selection, and fast Fourier transform analyses, the method achieves a 95.84% detection rate compared to electrocardiography measurements.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Chemistry, Analytical
Marnie K. K. McLean, R. Glenn Weaver, Abbi Lane, Michal T. T. Smith, Hannah Parker, Ben Stone, Jonas McAninch, David W. W. Matolak, Sarah Burkart, M. V. S. Chandrashekhar, Bridget Armstrong
Summary: Photoplethysmography (PPG) signal quality is important in accurately measuring heart rate (HR) in various public health contexts. This study proposes two metrics as sliding scales of PPG signal quality and examines their association with HR accuracy. The results show a significant correlation between PPG signal quality and HR accuracy.
Editorial Material
Anesthesiology
Panicos A. Kyriacou, Peter H. Charlton, Raghda Al-Halawani, Kirk H. Shelley
Summary: Recent reports discuss the inaccuracies of pulse oximetry in patients with varying degrees of skin pigmentation. We provide a summary of literature, discuss potential clinical implications, and suggest ways to improve pulse oximetry to address these shortcomings.
BRITISH JOURNAL OF ANAESTHESIA
(2023)
Article
Primary Health Care
Laura C. Armitage, Shaun Davidson, Adam Mahdi, Mirae Harford, Richard McManus, Andrew Farmer, Peter Watkinson, Lionel Tarassenko
Summary: The study emphasizes the importance of measuring night-time blood pressure when assessing individuals for hypertension. It found that not measuring night-time blood pressure puts reverse dippers (those with a rise in blood pressure at night) at risk of failure to diagnose hypertension. Therefore, it is recommended that general practitioners offer ambulatory blood-pressure monitoring (ABPM) to all patients aged >= 60 years as a minimum when assessing for hypertension.
BRITISH JOURNAL OF GENERAL PRACTICE
(2023)
Article
Critical Care Medicine
James C. Doidge, Doug W. Gould, Zia Sadique, Mark Borthwick, Robert A. Hatch, Fergus J. Caskey, Lui Forni, Robert F. Lawrence, Clare MacEwan, Marlies Ostermann, Paul R. Mouncey, David A. Harrison, Kathryn M. Rowan, J. Duncan Young, Peter J. Watkinson
Summary: This study evaluated the clinical and health economic impacts of transitioning from systemic heparin anticoagulation (SHA) to regional citrate anticoagulation (RCA) for continuous kidney replacement therapy (CKRT) in intensive care units (ICUs). The results showed that transition to RCA was not associated with changes in mortality, but was associated with increases in kidney support duration, advanced cardiovascular support duration, and ICU length of stay.
JOURNAL OF CRITICAL CARE
(2023)
Review
Cardiac & Cardiovascular Systems
Rachel E. Climie, Jordi Alastruey, Christopher C. Mayer, Achim Schwarz, Agne Laucyte-Cibulskiene, Julija Voicehovska, Elisabetta Bianchini, Rosa-Maria Bruno, Peter H. Charlton, Andrea Grillo, Andrea Guala, Magid Hallab, Bernhard Hametner, Piotr Jankowski, Karsten Konigstein, Anna Lebedeva, Ioana Mozos, Giacomo Pucci, Houry Puzantian, Dimitrios Terentes-Printzios, Gunay Yetik-Anacak, Chloe Park, Peter M. Nilsson, Thomas Weber
Summary: Prevention of cardiovascular disease (CVD) is a major public health challenge. Identifying individuals at increased cardiovascular risk at an asymptomatic stage is crucial for minimizing disease progression and burden. Vascular ageing (VA) is the deterioration of vascular structure and function over time and can help identify those at elevated cardiovascular risk. However, VA is seldom measured in routine clinical practice due to lack of consensus and practical issues. This state-of-the-art review aims to increase knowledge about VA and promote its routine measurement.
EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY
(2023)
Article
Computer Science, Information Systems
Kevin Kotzen, Peter H. Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim A. Behar
Summary: Staging is crucial in diagnosing sleep disorders and managing sleep health. This study proposes an automated approach using raw photoplethysmography (PPG) time series and deep learning for four-class sleep staging. The developed SleepPPG-Net model achieves state-of-the-art performance and opens possibilities for the development of wearable devices for clinical applications.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Cardiac & Cardiovascular Systems
Tove Hygrell, Fredrik Viberg, Erik Dahlberg, Peter H. Charlton, Katrin Kemp Gudmundsdottir, Jonathan Mant, Josef Lindman Hornlund, Emma Svennberg
Summary: The study aimed to observe the accuracy of an artificial intelligence-based network in predicting paroxysmal atrial fibrillation from a normal sinus rhythm single-lead ECG. The algorithm performed well in predicting paroxysmal AF in a wide age range, but had lower performance in age-homogeneous groups.
Review
Biophysics
Raghda Al-Halawani, Peter H. Charlton, Meha Qassem, Panayiotis A. Kyriacou
Summary: Pulse oximetry is a non-invasive optical technique used to measure arterial oxygen saturation (SpO(2)) in various clinical settings. However, its accuracy may vary in individuals with different skin pigmentations, with decreased accuracy in patients with dark skin. Addressing these inaccuracies can potentially improve clinical outcomes.
PHYSIOLOGICAL MEASUREMENT
(2023)
Article
Chemistry, Analytical
Mantas Rinkevicius, Peter H. H. Charlton, Raquel Bailon, Vaidotas Marozas
Summary: Low-quality PPG signals can lead to inaccurate estimation of PAT during PSG studies. This study developed a PPG signal-quality assessment algorithm and used ECG signals to evaluate the PPG signal quality and investigate its influence on PAT. The results showed that lower PPG signal quality was associated with larger differences in PAT, and using a PPG signal quality-based PAT evaluation method reduced deviations and allowed for larger differences between different sleep stages and events.
Article
Nursing
Jody Ede, M. Clarete, I. Taylor, C. Taylor, B. Kent, P. Watkinson, R. Endacott
NURSING IN CRITICAL CARE
(2023)
Article
Multidisciplinary Sciences
Niall Jackson, Jessica Woods, Peter Watkinson, Andrew Brent, Tim E. A. Peto, A. Sarah Walker, David W. Eyre
Summary: This study aimed to evaluate the frequency of value preferences in recording vital signs in electronic healthcare records (EHRs) and the factors associated with it. Data from Oxford University Hospitals, UK, were analyzed to determine the prevalence of value preferences in blood pressure, heart rate, respiratory rate, and temperature measurements. The study found that there were discrepancies in the recorded values, particularly in temperature measurements. Digit preference and temperature recordings of 36.0 degrees C were more common in certain patient groups and hospital settings. This highlights the need for accurate documentation and adjustments in patient care and research analysis.
SCIENTIFIC REPORTS
(2023)
Review
Medicine, General & Internal
Kara G. Fields, Jie Ma, Tatjana Petrinic, Hassan Alhassan, Anthony Eze, Ankith Reddy, Mona Hedayat, Rui Providencia, Gregory Y. H. Lip, Jonathan P. Bedford, David A. Clifton, Oliver C. Redfern, Benjamin O'Brien, Peter J. Watkinson, Gary S. Collins, Jochen D. Muehlschlegel
Summary: This systematic review aims to critically appraise the methodology and risk of bias in the development and validation of multivariable prediction models for atrial fibrillation after cardiac surgery (AFACS). The findings will be disseminated to improve future studies and provide a clinically useful risk estimation tool.
Review
Cardiac & Cardiovascular Systems
Jordi Alastruey, Peter H. Charlton, Vasiliki Bikia, Birute Paliakaite, Bernhard Hametner, Rosa Maria Bruno, Marijn P. Mulder, Samuel Vennin, Senol Piskin, Ashraf W. Khir, Andrea Guala, Christopher C. Mayer, Jonathan Mynard, Alun D. Hughes, Patrick Segers, Berend E. Westerhof
Summary: Arterial pulse waves (PWs), such as blood pressure and photoplethysmogram (PPG) signals, are rich sources of information for assessing vascular age and identifying individuals at elevated cardiovascular risk. This review explores the possibilities and limitations of reduced-order biophysical models and theoretical and empirical methods for analyzing PW signals and extracting clinically relevant information. Detailed mathematical derivations are provided, demonstrating the relationships between these models and methods. Suggestions for future research are also outlined to fully utilize the potential of modeling and analyzing PW signals for accurate vascular age assessment.
AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY
(2023)
Article
Neurosciences
Charlotte H. Harrison, Maxime Taquet, Paul J. Harrison, Peter J. Watkinson, Matthew J. Rowland
Summary: This study examines the antecedent characteristics of non-traumatic subarachnoid hemorrhage (SAH) patients, compares the risk of SAH between women and men, and investigates if this changes with age. The results show that men have a higher risk of SAH than women overall, particularly in younger adults. However, in the age group over 75 years, women have a higher risk of SAH compared to men.
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES
(2023)
Letter
Hematology
Simon J. Stanworth, Akshay Shah, James Doidge, Peter Watkinson
TRANSFUSION MEDICINE
(2023)
Correction
Cardiac & Cardiovascular Systems
Rachel E. Climie, Jordi Alastruey, Christopher C. Mayer, Achim Schwarz, Agne Laucyte-Cibulskiene, Julija Voicehovska, Elisabetta Bianchini, Rosa-Maria Bruno, Peter H. Charlton, Andrea Grillo, Andrea Guala, Magid Hallab, Bernhard Hametner, Piotr Jankowski, Karsten Konigstein, Anna Lebedeva, Ioana Mozos, Giacomo Pucci, Houry Puzantian, Dimitrios Terentes-Printzios, Gunay Yetik-Anacak, Chloe Park, Peter M. Nilsson, Thomas Weber
EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY
(2023)