Article
Veterinary Sciences
Radu Andrei Baisan, Andreea Catalina Turcu, Eusebiu Ionut Condurachi, Vasile Vulpe
Summary: This is the first report of a second degree atrio-ventricular block associated with vagal activity in a dog, with evidence of sympathetic overdrive and severe azotemia, as revealed by electrocardiographic and echocardiographic examinations.
VETERINARY SCIENCES
(2022)
Article
Chemistry, Analytical
En-Fan Chou, Michelle Khine, Thurmon Lockhart, Rahul Soangra
Summary: The relationship between the robustness of HRV derived by linear and nonlinear methods to the required minimum data lengths has yet to be well understood. This study found that most HRV measures can be adequately computed by small data sizes, while some may require longer data lengths. Determining the optimal minimum data sizes can potentially improve efficiency and save time and effort for both patients and medical care providers.
Article
Psychiatry
Sarah M. Haigh, Tabatha P. Walford, Pat Brosseau
Summary: In this study, suppressed HRV was found in adults with schizophrenia compared to controls, while those with autism showed slightly reduced HRV but no significant difference. The autism group reported feeling lonelier than the schizophrenia group, and HRV did not correlate with loneliness in any of the groups. However, in the schizophrenia group, suppressed HRV was linked to poorer performance on neuropsychological tests. This suggests that autonomic functioning abnormalities are more pronounced in schizophrenia than in autism and may reflect unique health factors associated with schizophrenia.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Psychology, Biological
Dalbyeol Bae, Jacob J. L. Matthews, J. Jean Chen, Linda Mah
Summary: In this study, the impact of manipulating exhalation to inhalation ratio (E:I) on heart rate variability (HRV) was examined. The findings suggest that a longer exhalation relative to inhalation, without altering breathing rate, acutely increased HRV metrics, pointing towards an enhancement of cardiac vagal tone.
Article
Engineering, Electrical & Electronic
Monay Mokhtar Shoushan, Bersain A. Reyes, Aldo Rodrigo Mejia Rodriguez, Jo Woon Chong
Summary: This study demonstrates the reliability of pulse rate variability (PRV) as a marker for cardiovascular health during different controlled breathing rates. The results show agreement between PRV and heart rate variability (HRV) measurements obtained from ECG devices, as well as consistent spectral analysis results. The findings support the use of PRV as a noninvasive method for monitoring autonomic nervous system balance.
IEEE SENSORS JOURNAL
(2022)
Review
Neurosciences
Alexane Tournier, Michael Beacom, Jenny A. Westgate, Laura Bennet, Charles Garabedian, Austin Ugwumadu, Alistair J. Gunn, Christopher A. Lear
Summary: The interpretation of FHR patterns is crucial for monitoring fetal well-being during labor, and changes in FHR variability (FHRV) have been considered an indication of fetal compromise. However, there is a lack of systematic evidence to support this observation. This review examines the potential pathways controlling FHRV during labor-like hypoxia and suggests that the parasympathetic system becomes the sole regulator of FHRV once FHR decelerations occur.
JOURNAL OF PHYSIOLOGY-LONDON
(2022)
Article
Environmental Sciences
Minna Tang, Yu He, Xiaochun Zhang, Huichu Li, Chang Huang, Cuiping Wang, Ya Gao, Yinliang Li, Haidong Kan, Jialu Hu, Renjie Chen
Summary: The study found that temperature variability is negatively associated with heart rate variability, especially on the same day. The exposure-response relationships were almost linear for most parameters. The increase in temperature variability is significantly associated with the decrease in heart rate variability, with females being more affected.
ENVIRONMENTAL RESEARCH
(2021)
Article
Cardiac & Cardiovascular Systems
Amit J. Shah, Matthew T. Wittbrodt, J. Douglas Bremner, Viola Vaccarino
Summary: Coronary heart disease and psychological stress factors like depression are highly prevalent and difficult to manage. Recent research suggests that adopting an integrated approach to managing the heart and neurological network may be effective. This article describes an extensive cardioneural network that includes the heart, brain, spinal cord, and ganglia throughout the body, and discusses non-invasive measures that can assess both psychological stress and severity of heart disease. Finally, the article explores the potential clinical and public health applications of these measures and potential cardioneural interventions.
TRENDS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Computer Science, Interdisciplinary Applications
Joel S. Burma, Andrew P. Lapointe, Ateyeh Soroush, Ibukunoluwa K. Oni, Jonathan D. Smirl, Jeff F. Dunn
Summary: This study investigated the impact of sampling frequency on the validity and reliability of deriving cardiac metrics. Results showed that downsampling frequencies of >= 50 and >= 90 Hz produced highly robust measures, while lower frequencies resulted in wider variability and less accuracy. Further research is needed to determine the minimum sampling frequency required for obtaining valid heart rate and HRV metrics from pulsatile waveforms.
JOURNAL OF BIOMEDICAL INFORMATICS
(2021)
Article
Health Care Sciences & Services
Daniela Lucini, Mara Malacarne, Wolfgang Gatzemeier, Eleonora Pagani, Giuseppina Bernardelli, Gianfranco Parati, Massimo Pagani
Summary: The increased cardiometabolic risk in breast cancer survivors is attributed to multiple mechanisms, including hormonal and immunological dysfunction as well as cardiac autonomic regulation. This study found that physical activity can improve cardiac autonomic regulation, metabolism, and psychological well-being in breast cancer survivors.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Biology
Yi-Chia Shan, Wei Fang, Jih-Huah Wu
Summary: A feasible and integrated system was proposed to measure and affect the autonomic nervous system (ANS) status. The test results show that stimulating the Neiguan (PC6) acupoint can inhibit the sympathetic nervous system (SNS), while stimulating the Shenmen (HT7) acupoint can activate the SNS.
Article
Orthopedics
T. D. Yeater, J. Zubcevic, K. D. Allen
Summary: The study aimed to evaluate autonomic nervous system shifts in rat knee joint injury and osteoarthritis (OA) models. The results showed that injured animals had a slower heart rate during low activity and mechanical stimuli caused an immediate decrease in heart rate and blood pressure in all groups. Furthermore, the damaged groups exhibited a larger drop in heart rate following pharmacological stimulation. These findings provide preliminary evidence of potential functional shifts in the autonomic nervous system in models of joint injury and OA.
OSTEOARTHRITIS AND CARTILAGE
(2022)
Article
Medicine, General & Internal
Ahsan A. Khan, Rehan T. Junejo, Graham N. Thomas, James P. Fisher, Gregory Y. H. Lip
Summary: AF, regardless of hypertension, is associated with higher HRV, and may be related to vagal tone. Permanent AF has a stronger influence on HRV than paroxysmal AF, indicating autonomic involvement in permanent AF pathophysiology. Exploration of autonomic modulation on cardiovascular system is recommended for future studies.
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION
(2021)
Article
Physiology
Hsin-Yi Wang, Men-Tzung Lo, Kun-Hui Chen, Susan Mandell, Wen-Kuei Chang, Chen Lin, Chien-Kun Ting
Summary: The study revealed that propofol induction results in immediate changes in autonomic nervous system activity, including a relative elevation of cardiac sympathovagal balance and reduced sympathetic activity.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Karina Carvalho Marques, Camilla Costa Silva, Steffany da Silva Trindade, Marcio Clementino de Souza Santos, Rodrigo Santiago Barbosa Rocha, Pedro Fernando da Costa Vasconcelos, Juarez Antonio Simoes Quaresma, Luiz Fabio Magno Falcao
Summary: This study investigated the alterations in cardiovascular and autonomic nervous system functioning in individuals with long-term manifestations of COVID-19. The results revealed reduced heart rate variability, increased sympathetic modulation, and decreased parasympathetic modulation in long COVID patients. These findings suggest an increased risk for cardiovascular complications in long COVID patients.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Clinical Neurology
Andreas Eisenried, Naola Austin, Benjamin Cobb, Alireza Akhbardeh, Brendan Carvalho, David C. Yeomans, Alexander Z. Tzabazis
JOURNAL OF PAIN RESEARCH
(2018)
Article
Neurosciences
Danielle D. DeSouza, Katy H. Stimpson, Laima Baltusis, Matthew D. Sacchet, Meng Gu, Ralph Hurd, Hua Wu, David C. Yeomans, Nolan Willliams, David Spiegel
Article
Anesthesiology
Jacob T. Beckley, Hassan Pajouhesh, George Luu, Sheri Klas, Anton Delwig, Dennis Monteleone, Xiang Zhou, Denise Giuvelis, Ian D. Meng, David C. Yeomans, John C. Hunter, John Mulcahy
Summary: The voltage-gated sodium channel Na(v)1.7 plays a crucial role in pain signal transmission, making it a promising target for analgesic therapy. The small molecule Na(v)1.7 inhibitor ST-2530 demonstrated high selectivity for human Na(v)1.7 and exhibited potent analgesic effects in various mouse pain models, without affecting motor function.
Article
Multidisciplinary Sciences
H. Pajouhesh, J. T. Beckley, A. Delwig, H. S. Hajare, G. Luu, D. Monteleone, X. Zhou, J. Ligutti, S. Amagasu, B. D. Moyer, D. C. Yeomans, J. Du Bois, J. V. Mulcahy
SCIENTIFIC REPORTS
(2020)
Review
Clinical Neurology
Vimala N. Bharadwaj, Frank Porreca, Robert P. Cowan, Shashidhar Kori, Stephen D. Silberstein, David C. Yeomans
Summary: Research suggests that decreased levels of estrogen and OT during menstruation may lead to reduced affinity of OT for OTR, increasing the likelihood of migraine attacks.
Article
Psychiatry
David C. Yeomans, Leah R. Hanson, Dean S. Carson, Brendan J. Tunstall, Mary R. Lee, Alexander Z. Tzabazis, Daniel Jacobs, William H. Frey
Summary: The study found that intranasal oxytocin can reach the brain via the olfactory and trigeminal neural pathways, but the addition of a mucoadhesive did not enhance its concentration in the brain.
TRANSLATIONAL PSYCHIATRY
(2021)
Review
Pharmacology & Pharmacy
Vimala N. Bharadwaj, Alexander Z. Tzabazis, Michael Klukinov, Neil A. Manering, David C. Yeomans
Summary: Chronic pain, a challenging condition in medicine, is associated with plastic changes in the nervous system. Polypeptides, highly selective molecules for nervous system receptors, have potential in pain therapeutics and have shown successful deposition in the nervous system through intranasal delivery. This non-invasive method has the potential to provide rapid and effective treatment for chronic pain.
Article
Anesthesiology
Thomas Anthony Anderson, Jorge Delgado, Sharon Sun, Negin Behzadian, Jose Vilches-Moure, Robert B. Szlavik, Kim Butts-Pauly, David Yeomans
Summary: In this study, the effects of focused ultrasound and local anesthetics on action potential parameters were investigated in an ex vivo rat sciatic nerve model. Both focused ultrasound and local anesthetics were found to alter some action potential parameters, but there were small differences between the two. Further research is needed to determine the clinical implications of these findings and the potential use of focused ultrasound for pain management.
REGIONAL ANESTHESIA AND PAIN MEDICINE
(2022)
Article
Pharmacology & Pharmacy
Vimala N. Bharadwaj, Justin Meyerowitz, Bende Zou, Michael Klukinov, Ni Yan, Kaustubh Sharma, David J. Clark, Xinmin Xie, David C. Yeomans
Summary: This study shows that magnesium ion increases the efficacy of oxytocin and that its efficacy is limited by magnesium ion availability.
Article
Clinical Neurology
Vimala N. Bharadwaj, Peyman Sahbaie, Xiaoyou Shi, Karen-Amanda Irvine, David C. Yeomans, J. David Clark
Summary: This study evaluates the effects of exercise on pain-related behaviors in a preclinical model of traumatic brain injury (TBI). The findings show that exercise reduces nociceptive sensitization, loss of diffuse noxious inhibitory control, memory deficits, and spinal nociception-related gene expression after TBI. Exercise may reduce or prevent pain after TBI.
Article
Anesthesiology
Thomas Anthony Anderson, Cholawat Pacharinsak, Jose Vilches-Moure, Husniye Kantarci, J. Bradley Zuchero, Kim Butts-Pauly, David Yeomans
Summary: Focused ultrasound can inhibit peripheral nerve nociceptive fibers, increase nociceptive thresholds and alter nerve structure in an animal model of acute pain. It has the potential as a peripheral nerve blockade technique for acute pain management.
REGIONAL ANESTHESIA AND PAIN MEDICINE
(2023)
Meeting Abstract
Clinical Neurology
V Bharadwaj, M. Klukinov, D. C. Yeomans
Meeting Abstract
Clinical Neurology
D. C. Yeomans, S. H. Kori
Meeting Abstract
Clinical Neurology
M. Klukinov, D. C. Yeomans
Meeting Abstract
Clinical Neurology
D. C. Yeomans, A. Meidahl, A. Eisenried, M. Klukinov, A. Tzabazis
Article
Engineering, Biomedical
Wenwen Wu, Yanqi Huang, Xiaomei Wu
Summary: In this study, a 2D deep learning classification network SRT was proposed to improve automatic ECG analysis. The model structure was enhanced with the CNN and Transformer-encoder modules, and a novel attention module and Dilated Stem structure were introduced to improve feature extraction. Comparative experiments showed that the proposed model outperformed several advanced methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Chiheb Jamazi, Ghaith Manita, Amit Chhabra, Houssem Manita, Ouajdi Korbaa
Summary: In this study, a new dynamic and intelligent clustering method for brain tumor segmentation is proposed by combining the improved Aquila Optimizer (AO) and the K-Means algorithm. The proposed MAO-Kmeans approach aims to automatically extract the correct number and location of cluster centers and the number of pixels in each cluster in abnormal MRI images, and the experimental results demonstrate its effectiveness in improving the performance of conventional K-means clustering.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Alberto Hernando, Maria Dolores Pelaez-Coca, Eduardo Gil
Summary: This study applied a new algorithm to decompose the photoplethysmogram (PPG) pulse and identified changes in PPG pulse morphology due to pressure. The results showed that there was an increase in amplitude, width, and area values of the PPG pulse, and a decrease in ratios when pressure increased, indicating vasoconstriction. Furthermore, some parameters were found to be related to the pulse-to-pulse interval.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Jens Moeller, Eveline Popanda, Nuri H. Aydin, Hubert Welp, Iris Tischoff, Carsten Brenner, Kirsten Schmieder, Martin R. Hofmann, Dorothea Miller
Summary: In this study, a method based on texture features is proposed, which can classify healthy gray and white matter against glioma degrees 4 samples with reasonable classification performance using a relatively low number of samples for training. The method achieves high classification performance without the need for large datasets and complex machine learning approaches.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Amrutha Bhaskaran, Manish Arora
Summary: The study evaluates a cyclic repetition frequency-based algorithm for fetal heart rate estimation. The algorithm improves accuracy and reliability for poor-quality signals and performs well for different gestation weeks and clinical settings.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Manan Patel, Harsh Bhatt, Manushi Munshi, Shivani Pandya, Swati Jain, Priyank Thakkar, Sangwon Yoon
Summary: Electroencephalogram (EEG) signals have been effectively used to measure and analyze neurological data and brain-related ailments. Artificial Intelligence (AI) algorithms, specifically the proposed CNN-FEBAC framework, show promising results in studying the EEG signals of autistic patients and predicting their response to stimuli with 91% accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Wencheng Gu, Kexue Sun
Summary: This research proposes an improved version of YOLOv5 (AYOLOv5) based on the attention mechanism to address the issue of low recognition rate in cell detection. Experimental results demonstrate that AYOLOv5 can accurately identify cell targets and improve the quality and recognition performance of cell pictures.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Anita Gade, V. Vijaya Baskar, John Panneerselvam
Summary: Analysis of exhaled breath is an increasingly used diagnostic technique in medicine. This study introduces a new NICBGM-based model that utilizes various features and weight optimization for accurate data interpretation and result optimization.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Arsalan Asemi, Keivan Maghooli, Fereidoun Nowshiravan Rahatabad, Hamid Azadeh
Summary: Biometric authentication systems can perform identity verification with optimal accuracy in various environments and emotional changes, while the performance of signature verification systems can be affected when people are under stress. This study examines the performance of a signature verification system based on muscle synergy patterns as biometric characteristics for stressed individuals. EMG signals from hand and arm muscles were recorded and muscle synergies were extracted using Non-Negative Matrix Factorization. The extracted patterns were classified using Support Vector Machine for authentication of stressed individuals.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Tianjiao Guo, Jie Yang, Qi Yu
Summary: This paper proposes a CNN-based approach for segmenting four typical DR lesions simultaneously, achieving competitive performance. This approach is significant for DR lesion segmentation and has potential in other segmentation tasks.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
G. Akilandasowmya, G. Nirmaladevi, S. U. Suganthi, A. Aishwariya
Summary: This study proposes a technique for skin cancer detection and classification using deep hidden features and ensemble classifiers. By optimizing features to reduce data dimensionality and combining ensemble classifiers, the proposed method outperforms in skin cancer classification and improves prediction accuracy.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Tuuli Uudeberg, Juri Belikov, Laura Paeske, Hiie Hinrikus, Innar Liiv, Maie Bachmann
Summary: This article introduces a novel feature extraction method, the in-phase matrix profile (pMP), specifically adapted for electroencephalographic (EEG) signals, for detecting major depressive disorder (MDD). The results show that pMP outperforms Higuchi's fractal dimension (HFD) in detecting MDD, making it a promising method for future studies and potential clinical use for diagnosing MDD.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
P. Nancy, M. Parameswari, J. Sathya Priya
Summary: Stroke is the third leading cause of mortality worldwide, and early detection is crucial to avoid health risks. Existing research on disease detection using machine learning techniques has limitations, so a new stroke detection system is proposed. The experimental results show that the proposed method achieves a high accuracy rate in stroke detection.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Shimin Liu, Zhiwen Huang, Jianmin Zhu, Baolin Liu, Panyu Zhou
Summary: In this study, a continuous blood pressure (BP) monitoring method based on random forest feature selection (RFFS) and a gray wolf optimization-gradient boosting regression tree (GWO-GBRT) prediction model was developed. The method extracted features from electrocardiogram (ECG) and photoplethysmography (PPG) signals, and employed RFFS to select sensitive features highly correlated with BP. A hybrid prediction model of gray wolf optimization (GWO) technique and gradient boosting regression tree (GBRT) algorithm was established to learn the relationship between BP and sensitive features. Experimental results demonstrated the effectiveness and advancement of the proposed method.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
Article
Engineering, Biomedical
Weijun Gong, Yurong Qian, Weihang Zhou, Hongyong Leng
Summary: The recognition of dynamic facial expressions is challenging due to various factors, and obtaining discriminative expression features has been difficult. Traditional deep learning networks lack understanding of global and temporal expressions. This study proposes an enhanced spatial-temporal learning network to improve dynamic facial expression recognition.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2024)
