The influence of cardiac arrhythmias on the detection of heartbeats in the photoplethysmogram: benchmarking open-source algorithms
Objective. Cardiac arrhythmias are a leading cause of mortality worldwide. Wearable devices based on photoplethysmography give the opportunity to screen large populations, hence allowing for an earlier detection of pathological rhythms that might reduce the risks of complications and medical costs. While most of beat detection algorithms have been evaluated on normal sinus rhythm or atrial fibrillation recordings, the performance of these algorithms in patients with other cardiac arrhythmias, such as ventricular tachycardia or bigeminy, remain unknown to date. Approach. The PPG-beats open-source framework, developed by Cha...
Source: Physiological Measurement - February 14, 2024 Category: Physiology Authors: Lo ïc Jeanningros, Mathieu Le Bloa, Cheryl Teres, Claudia Herrera Siklody, Alessandra Porretta, Patrizio Pascale, Adrian Luca, Jorge Solana Muñoz, Giulia Domenichini, Théo A Meister, Rodrigo Soria Maldonado, Hildegard Tanner, Jean-Marc Vesin, Jean-Phil Source Type: research
ECG data enhancement method using generate adversarial networks based on Bi-LSTM and CBAM
Objective. The classification performance of electrocardiogram (ECG) classification algorithms is easily affected by data imbalance, which often leads to poor model prediction performance for a few classes and a consequent decrease in the overall performance of the model. Approach. To address this problem, this paper proposed an ECG data augmentation method based on a generative adversarial network (GAN) that combines bidirectional long short-term memory (Bi-LSTM) networks and convolutional block attention mechanism (CBAM) to improve the overall performance of ECG classification models. In this paper, we used two ECG datab...
Source: Physiological Measurement - February 12, 2024 Category: Physiology Authors: Feiyan Zhou and Jiajia Li Source Type: research
Sleep apnea detection from single-lead electrocardiogram signals using effective deep-shallow fusion network
Objective. Explore a network architecture that can efficiently perform single-lead electrocardiogram (ECG) sleep apnea (SA) detection by utilizing the beneficial information of extended ECG segments and reducing the impact of their noisy information. Approach. We propose an effective deep-shallow fusion network (EDSFnet). The deeper residual network is used to extract high-level features with stronger semantics and less noise from the original ECG segments. The shallower convolutional neural network is used to extract lower-level features with higher resolution containing more detailed neighborhood information from the ext...
Source: Physiological Measurement - February 9, 2024 Category: Physiology Authors: Pan Li, Wenjun Ma, Huijun Yue, Wenbin Lei, Xiaomao Fan and Ye Li Source Type: research
Conventional and deep learning methods in heart rate estimation from RGB face videos
Contactless vital signs monitoring is a fast-advancing scientific field that aims to employ monitoring methods that do not necessitate the use of leads or physical attachments to the patient in order to overcome the shortcomings and limits of traditional monitoring systems. Several traditional methods have been applied to extract the heart rate (HR) signal from the face. Moreover, machine learning has recently contributed majorly to the development of such a field in which deep networks and other deep learning methods are employed to extract the HR signal from RGB face videos. In this paper, we evaluate the state-of-the-ar...
Source: Physiological Measurement - February 9, 2024 Category: Physiology Authors: Abdulkader Helwan, Danielle Azar and Mohamad Khaleel Sallam Ma ’aitah Source Type: research
Assessment of bioimpedance spectroscopy devices: a comparative study and error analysis of gold-plated copper electrodes
Objective. Bioimpedance spectroscopy (BIS) is a non-invasive diagnostic tool to derive fluid volume compartments from frequency dependent voltage drops in alternating currents by extrapolating to the extracellular resistance (R0) and intracellular resistance (Ri). Here we tested whether a novel BIS device with reusable and adhesive single-use electrodes produces results which are (in various body positions) equivalent to an established system employing only single-use adhesive electrodes. Approach. Two BIS devices ('Cella' and the 'Body Composition Monitor' [BCM]) were compared using four dedicated resistance testboxes and...
Source: Physiological Measurement - February 5, 2024 Category: Physiology Authors: Sebastian Mussnig, Simon Krenn, Manfred Hecking and Peter Wabel Source Type: research
Regional ventilation distribution before and after laparoscopic lung parenchymal resection
Objective. The aim of the present study was to evaluate the influence of one-sided pulmonary nodule and tumour on ventilation distribution pre- and post- partial lung resection. Approach. A total of 40 consecutive patients scheduled for laparoscopic lung parenchymal resection were included. Ventilation distribution was measured with electrical impedance tomography (EIT) in supine and surgery lateral positions 72 h before surgery (T1) and 48 h after extubation (T2). Left lung to global ventilation ratio (Fl), the global inhomogeneity index (GI), standard deviation of regional ventilation delay (RVDSD) and pendelluft amplitu...
Source: Physiological Measurement - January 31, 2024 Category: Physiology Authors: Zhibin Xiao, Lin Yang, Meng Dai, Wenjun Lu, Feng Liu, In éz Frerichs, Changjun Gao, Xude Sun and Zhanqi Zhao Source Type: research
Investigating the impact of smoking habits through photoplethysmography analysis
In this study, the impact of three smoking habits —cigarettes, shisha, and electronic cigarettes (e-cigarettes)—on the features of the PPG signal were investigated. Approach. The PPG signals are measured for 45 healthy smokers before, during, and after the smoking session and then processed to extract the morphological features. Quantitative st atistical techniques were used to analyze the PPG features and provide the most significant features of the three smoking habits. The impact of smoking is observed through significant changes in the features of the PPG signal, indicating blood volume instability. Main results. T...
Source: Physiological Measurement - January 22, 2024 Category: Physiology Authors: Qasem Qananwah, Ateka Khader, Munder Al-Hashem, Ahmad Mumani and Ahmad Dagamseh Source Type: research
The hemodynamic cardiac profiler volume-time curves and related parameters: an MRI validation study
Background. The hemodynamic cardiac profiler (HCP) is a new, non-invasive, operator-independent screening tool that uses six independent electrode pairs on the frontal thoracic skin, and a low-intensity, patient-safe, high-frequency applied alternating current to measure ventricular volume dynamics during the cardiac cycle for producing ventricular volume-time curves (VTCs). Objective. To validate VTCs from HCP against VTCs from MRI in healthy volunteers. Approach. Left- and right-ventricular VTCs were obtained by HCP and MRI in six healthy participants in supine position. Since HCP is not compatible with MRI, HCP measurem...
Source: Physiological Measurement - January 10, 2024 Category: Physiology Authors: Maurits K Konings, Manuella Al Sharkawy, Sjoerd M Verwijs, Adrianus J Bakermans, Martijn Visscher, Charles L Hollenkamp, Denise P Veelo and Harald T J ørstad Source Type: research
Distribution of regional lung function in upright healthy subjects determined by electrical impedance tomography in two chest examination planes
Objective. The variation in pulmonary gas content induced by ventilation is not uniformly distributed in the lungs. The aim of our study was to characterize the differences in spatial distribution of ventilation in two transverse sections of the chest using electrical impedance tomography (EIT). Approach. Twenty adult never-smokers, 10 women and 10 men (mean age ± SD, 31 ± 9 years), were examined in a sitting position with the EIT electrodes placed consecutively in a caudal (6th intercostal space) and a cranial (4th intercostal space) chest location. EIT data were acquired during quiet breathing, slow and forced full exp...
Source: Physiological Measurement - January 10, 2024 Category: Physiology Authors: I Frerichs, B Vogt, K Deuss, V Hennig, D Sch ädler and C Händel Source Type: research
Esophageal balloon catheter system identification to improve respiratory effort time features and amplitude determination
Objective. Understanding a patient ’s respiratory effort and mechanics is essential for the provision of individualized care during mechanical ventilation. However, measurement of transpulmonary pressure (the difference between airway and pleural pressures) is not easily performed in practice. While airway pressures are available o n most mechanical ventilators, pleural pressures are measured indirectly by an esophageal balloon catheter. In many cases, esophageal pressure readings take other phenomena into account and are not a reliable measure of pleural pressure. Approach. A system identification approach was applied t...
Source: Physiological Measurement - January 10, 2024 Category: Physiology Authors: Yu Hao Wang Xia, Marcus Henrique Victor Jr, Caio C ésar Araújo Morais, Eduardo Leite Vieira Costa and Marcelo Britto Passos Amato Source Type: research
A comparative analysis of mathematical methods for detecting lactate thresholds using muscle oxygenation data during a graded cycling test
Objective. Threshold determination for improving training and sports performance is important for researchers and trainers, who currently use different methods for determining lactate, ventilatory or muscle oxygenation (SmO2) thresholds. Our study aimed to compare the identification of the intensity at the first and second thresholds using lactate and SmO2 data by different mathematical methods in different muscles during a graded cycling test. Approach. Twenty-six cyclists (15 males and 11 females; 23 ±6 years, 1.71 ± 0.09 m, 64.3 ± 8.8 Kg and 12 ± 3 training hours per week) performed a graded test on the cycle ergome...
Source: Physiological Measurement - December 29, 2023 Category: Physiology Authors: Carlos Sendra-P érez, Alberto Encarnación-Martínez, Fran Oficial-Casado, Rosario Salvador-Palmer and Jose I Priego-Quesada Source Type: research
Effective DBS treatment improves neural information transmission of patients with disorders of consciousness: an fNIRS study
This study quantified the changes in consciousness and the neuromodulation effect of DBS on patients with DOC. Approach. Eleven patients were recruited for this study which consists of three conditions: ‘Pre’ (two days before DBS surgery), ‘Post-On’ (one month after surgery with stimulation), and ‘Post-Off’ (one month after surgery without stimulation). Functional near-infrared spectroscopy (fNIRS) was recorded from the frontal lobe, parietal lobe, and occipital lobe of patients during the experiment of auditory stimuli paradigm, in parallel with the coma recovery scale-revised (CRS-R) assessment. The brain hem...
Source: Physiological Measurement - December 29, 2023 Category: Physiology Authors: Zhilin Shu, Jingchao Wu, Jiewei Lu, Haitao Li, Jinrui Liu, Jianeng Lin, Siquan Liang, Jialing Wu, Jianda Han and Ningbo Yu Source Type: research
MLP-RL-CRD: diagnosis of cardiovascular risk in athletes using a reinforcement learning-based multilayer perceptron
This study introduces a novel, effective method for early ca rdiovascular risk detection in athletes, merging reinforcement learning and multilayer perceptrons, advancing medical screening and predictive healthcare. The results could have far-reaching implications for athlete health management and the broader field of predictive healthcare analytics. (Source: Physiological Measurement)
Source: Physiological Measurement - December 29, 2023 Category: Physiology Authors: Arsam Bostani, Marzieh Mirzaeibonehkhater, Hamidreza Najafi, Mohammad Mehrtash, Roohallah Alizadehsani, Ru-San Tan and U Rajendra Acharya Source Type: research
In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies
Objective. In this paper, we present a detailed in vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle (SCM), obtained through ultrasound-guided near-infrared time-domain and diffuse correlation spectroscopies. Approach. A total of sixty-five subjects (forty-nine females, sixteen males) among healthy volunteers and thyroid nodule patients have been recruited for the study. Their SCM hemodynamic (oxy-, deoxy- and total hemoglobin concentrations, blood flow, blood oxygen saturation and metabolic rate of oxygen extraction) and optical properties (wavelength dependent absorpt...
Source: Physiological Measurement - December 26, 2023 Category: Physiology Authors: Lorenzo Cortese, Pablo Fern ández Esteberena, Marta Zanoletti, Giuseppe Lo Presti, Gloria Aranda Velazquez, Sabina Ruiz Janer, Mauro Buttafava, Marco Renna, Laura Di Sieno, Alberto Tosi, Alberto Dalla Mora, Stanislaw Wojtkiewicz, Hamid Dehghani, Sixte de Source Type: research
Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review
This article presents a systematic review aimed at mapping the literature published in the last decade on the use of machine learning (ML) for clinical decision-making through wearable inertial sensors. The review aims to analyze the trends, perspectives, strengths, and limitations of current literature in integrating ML and inertial measurements for clinical applications. The review process involved defining four research questions and applying four relevance assessment indicators to filter the search results, providing insights into the pathologies studied, technologies and setups used, data processing schemes, ML techni...
Source: Physiological Measurement - December 26, 2023 Category: Physiology Authors: Daniele Bibbo, Cristiano De Marchis, Maurizio Schmid and Simone Ranaldi Source Type: research
