Search Results - "Behar, Joachim A."

Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry by Levy, Jeremy, Álvarez, Daniel, Del Campo, Félix, Behar, Joachim A.

“…Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence, although diagnosis remains a challenge. Existing home sleep tests may…”
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PhysioZoo: A Novel Open Access Platform for Heart Rate Variability Analysis of Mammalian Electrocardiographic Data by Behar, Joachim A, Rosenberg, Aviv A, Weiser-Bitoun, Ido, Shemla, Ori, Alexandrovich, Alexandra, Konyukhov, Eugene, Yaniv, Yael

“…The time variation between consecutive heartbeats is commonly referred to as heart rate variability (HRV). Loss of complexity in HRV has been documented in…”
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Using beat-to-beat heart signals for age-independent biometric verification by Davoodi, Moran, Soker, Adam, Behar, Joachim A., Yaniv, Yael

“…Use of non-stationary physiological signals for biometric verification, reduces the ability to forge. Such signals should be simple to acquire with inexpensive…”
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Noninvasive fetal electrocardiography for the detection of fetal arrhythmias by Behar, Joachim A., Bonnemains, Laurent, Shulgin, Vyacheslav, Oster, Julien, Ostras, Oleksii, Lakhno, Igor

“…Objective To assess whether noninvasive fetal electrocardiography (NI‐FECG) enables the diagnosis of fetal arrhythmias. Methods A total of 500 echocardiography…”
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Descriptive characteristics of continuous oximetry measurement in moderate to severe covid-19 patients by Sobel, Jonathan A., Levy, Jeremy, Almog, Ronit, Reiner-Benaim, Anat, Miller, Asaf, Eytan, Danny, Behar, Joachim A.

“…Non-invasive oxygen saturation (SpO2) is a central vital sign used to shape the management of COVID-19 patients. Yet, there have been no report quantitatively…”
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Beating Rate Variability of Isolated Mammal Sinoatrial Node Tissue: Insight Into Its Contribution to Heart Rate Variability by Shemla, Ori, Tsutsui, Kenta, Behar, Joachim A, Yaniv, Yael

“…Because of the complexity of the interaction between the internal pacemaker mechanisms, cell interconnected signals, and interaction with other body systems,…”
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Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes by Biton, Shany, Aldhafeeri, Mohsin, Marcusohn, Erez, Tsutsui, Kenta, Szwagier, Tom, Elias, Adi, Oster, Julien, Sellal, Jean Marc, Suleiman, Mahmoud, Behar, Joachim A.

“…To drive health innovation that meets the needs of all and democratize healthcare, there is a need to assess the generalization performance of deep learning…”
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A Universal Scaling Relation for Defining Power Spectral Bands in Mammalian Heart Rate Variability Analysis by Behar, Joachim A, Rosenberg, Aviv A, Shemla, Ori, Murphy, Kevin R, Koren, Gideon, Billman, George E, Yaniv, Yael

“…Power spectral density (PSD) analysis of the heartbeat intervals in the three main frequency bands [very low frequency (VLF), low frequency (LF), and high…”
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Leuven-Haifa High-Resolution Fundus Image Dataset for Retinal Blood Vessel Segmentation and Glaucoma Diagnosis by Van Eijgen, Jan, Fhima, Jonathan, Billen Moulin-Romsée, Marie-Isaline, Behar, Joachim A., Christinaki, Eirini, Stalmans, Ingeborg

“…The Leuven-Haifa dataset contains 240 disc-centered fundus images of 224 unique patients (75 patients with normal tension glaucoma, 63 patients with high…”
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Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use by Levy, Jeremy, Álvarez, Daniel, Rosenberg, Aviv A., Alexandrovich, Alexandra, del Campo, Félix, Behar, Joachim A.

“…Pulse oximetry is routinely used to non-invasively monitor oxygen saturation levels. A low oxygen level in the blood means low oxygen in the tissues, which can…”
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Feasibility of Single Channel Oximetry for Mass Screening of Obstructive Sleep Apnea by Behar, Joachim A, Palmius, Niclas, Li, Qiao, Garbuio, Silverio, Rizzatti, Fabìola P G, Bittencourt, Lia, Tufik, Sergio, Clifford, Gari D

“…The growing awareness for the high prevalence of obstructive sleep apnea (OSA) coupled with the dramatic proportion of undiagnosed individuals motivates the…”
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From sleep medicine to medicine during sleep: a new paradigm by Behar, Joachim A

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Comparing COVID-19 and Influenza Presentation and Trajectory by Reiner Benaim, Anat, Sobel, Jonathan A., Almog, Ronit, Lugassy, Snir, Ben Shabbat, Tsviel, Johnson, Alistair, Eytan, Danny, Behar, Joachim A.

“…Background: COVID-19 is a newly recognized illness with a predominantly respiratory presentation. It is important to characterize the differences in disease…”
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Deep Learning for Pediatric Sleep Staging from Photoplethysmography: A Transfer Learning Approach from Adults to Children by Haimov, Sharon, Tabakhov, Alissa, Tauman, Riva, Behar, Joachim A.

“…Background: Sleep staging is critical for diagnosing sleep disorders. Traditional methods in clinical settings involve time-intensive scoring procedures…”
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A Review of Signal Processing Techniques for Non-Invasive Fetal Electrocardiography by Kahankova, Radana, Martinek, Radek, Jaros, Rene, Behbehani, Khosrow, Matonia, Adam, Jezewski, Michal, Behar, Joachim A.

“…Fetal electrocardiography (fECG) is a promising alternative to cardiotocography continuous fetal monitoring. Robust extraction of the fetal signal from the…”
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Detecting beats in the photoplethysmogram: benchmarking open-source algorithms by Charlton, Peter H, Kotzen, Kevin, Mejía-Mejía, Elisa, Aston, Philip J, Budidha, Karthik, Mant, Jonathan, Pettit, Callum, Behar, Joachim A, Kyriacou, Panicos A

“…The photoplethysmogram (PPG) signal is widely used in pulse oximeters and smartwatches. A fundamental step in analysing the PPG is the detection of heartbeats…”
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A Review on Atrial Fibrillation Detection From Ambulatory ECG by Ma, Caiyun, Xiao, Zhijun, Zhao, Lina, Biton, Shany, Behar, Joachim A., Long, Xi, Vullings, Rik, Aarts, Ronald M., Li, Jianqing, Liu, Chengyu

“…Atrial fibrillation (AF) is a prevalent clinical arrhythmia disease and is an important cause of stroke, heart failure, and sudden death. Due to the insidious…”
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SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography by Kotzen, Kevin, Charlton, Peter H., Salabi, Sharon, Amar, Lea, Landesberg, Amir, Behar, Joachim A.

“…Sleep staging is an essential component in the diagnosis of sleep disorders and management of sleep health. Sleep is traditionally measured in a clinical…”
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RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG by Ben-Moshe, Noam, Tsutsui, Kenta, Brimer, Shany Biton, Zvuloni, Eran, Sornmo, Leif, Behar, Joachim A.

“…Introduction : Deep learning models for detecting episodes of atrial fibrillation (AF) using rhythm information in long-term ambulatory ECG recordings have…”
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On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG by Zvuloni, Eran, Read, Jesse, Ribeiro, Antonio H., Ribeiro, Antonio Luiz P., Behar, Joachim A.

“…Objective: Over the past few years, deep learning (DL) has been used extensively in research for 12-lead electrocardiogram (ECG) analysis. However, it is…”
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