Physiological Measurement

Papers
(The TQCC of Physiological Measurement is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020150
Automatic sleep staging of EEG signals: recent development, challenges, and future directions51
Remote health diagnosis and monitoring in the time of COVID-1943
Bioimpedance analysis as a tool for hemodynamic monitoring: overview, methods and challenges38
Positive end-expiratory pressure titration with electrical impedance tomography and pressure–volume curve: a randomized trial in moderate to severe ARDS37
Automatic cough classification for tuberculosis screening in a real-world environment35
Personalized automatic sleep staging with single-night data: a pilot study with Kullback–Leibler divergence regularization34
Deep learning-based photoplethysmography classification for peripheral arterial disease detection: a proof-of-concept study34
Comparison of different modulations of photoplethysmography in extracting respiratory rate: from a physiological perspective33
Smartphone-based remote assessment of upper extremity function for multiple sclerosis using the Draw a Shape Test29
A dilated inception CNN-LSTM network for fetal heart rate estimation28
Agreement of bioelectrical resistance, reactance, and phase angle values from supine and standing bioimpedance analyzers27
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning26
Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearables26
Filtering-induced time shifts in photoplethysmography pulse features measured at different body sites: the importance of filter definition and standardization24
Current trends and opportunities in the methodology of electrodermal activity measurement23
Identification of 27 abnormalities from multi-lead ECG signals: an ensembled SE_ResNet framework with Sign Loss function23
SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals22
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms21
Data preprocessing methods for electrical impedance tomography: a review21
Onset detection in surface electromyographic signals across isometric explosive and ramped contractions: a comparison of computer-based methods20
Algorithmic insights of camera-based respiratory motion extraction20
Regional lung function measures determined by electrical impedance tomography during repetitive ventilation manoeuvres in patients with COPD19
Age-related changes in pulse risetime measured by multi-site photoplethysmography19
Obstructive sleep apnea prediction from electrocardiogram scalograms and spectrograms using convolutional neural networks19
Clinical value of electrical impedance tomography (EIT) in the management of patients with acute respiratory failure: a single centre experience18
The use of multi-site photoplethysmography (PPG) as a screening tool for coronary arterial disease and atherosclerosis18
Toward practical driving fatigue detection using three frontal EEG channels: a proof-of-concept study18
A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables17
Two-stage ECG signal denoising based on deep convolutional network17
AECG-DecompNet: abdominal ECG signal decomposition through deep-learning model17
Regions of interest selection and thermal imaging data analysis in sports and exercise science: a narrative review17
LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram17
Evaluation of the effectiveness of electrical muscle stimulation on human calf muscles via frequency difference electrical impedance tomography16
Cuffless blood pressure estimation methods: physiological model parameters versus machine-learned features15
What recording duration is required to provide physiologically valid and reliable dynamic cerebral autoregulation transfer functional analysis estimates?15
Fetal ECG extraction using short time Fourier transform and generative adversarial networks15
Issues in the automated classification of multilead ecgs using heterogeneous labels and populations15
The use of infrared thermography for the dynamic measurement of skin temperature of moving athletes during competition; methodological issues14
A multiview feature fusion model for heartbeat classification14
Detection of coronary artery disease using multi-modal feature fusion and hybrid feature selection14
A review of the effect of skin pigmentation on pulse oximeter accuracy14
Strength testing or strength training: considerations for future research13
Next-generation ingestible devices: sensing, locomotion and navigation13
Study of cuffless blood pressure estimation method based on multiple physiological parameters13
Recording and quantifying fetal magnetocardiography signals using a flexible array of optically-pumped magnetometers13
Reliability, reproducibility and validity of dynamic cerebral autoregulation in a large cohort with transient ischaemic attack or minor stroke13
Effects of three different rehabilitation games’ interaction on brain activation using functional near-infrared spectroscopy12
Fractional-order model representations of apparent vascular compliance as an alternative in the analysis of arterial stiffness: an in-silico study12
Measuring psychosocial stress with heart rate variability-based methods in different health and age groups12
Photoplethysmography (PPG): state-of-the-art methods and applications12
Estimation of respiratory rate and effort from a chest-worn accelerometer using constrained and recursive principal component analysis12
EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals12
Adaptive threshold split Bregman algorithm based on magnetic induction tomography for brain injury monitoring imaging12
A deep residual inception network with channel attention modules for multi-label cardiac abnormality detection from reduced-lead ECG11
Imaging slow brain activity during neocortical and hippocampal epileptiform events with electrical impedance tomography11
Application of artificial intelligence techniques for automated detection of myocardial infarction: a review11
Pulse decomposition analysis in photoplethysmography imaging11
Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state11
The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care11
A review of fetal cardiac monitoring, with a focus on low- and middle-income countries10
Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers10
A deep learning approach to estimate pulse rate by remote photoplethysmography10
Magnetic tracking of gastrointestinal motility10
Agreement between wireless and standard measurements of vital signs in acute exacerbation of chronic obstructive pulmonary disease: a clinical validation study10
Using complexity–entropy planes to detect Parkinson’s disease from short segments of haemodynamic signals10
Post-swim oxygen consumption: assessment methodologies and kinetics analysis10
Peaks and valleys: oscillatory cerebral blood flow at high altitude protects cerebral tissue oxygenation10
Multichannel seismocardiography: an imaging modality for investigating heart vibrations10
A model-based source separation algorithm for lung perfusion imaging using electrical impedance tomography10
Continuous cardiorespiratory monitoring is a dominant source of predictive signal in machine learning for risk stratification and clinical decision support * 10
Regional characterization of functional connectivity in patients with sleep apnea hypopnea syndrome during sleep9
A novel algorithm for automatic diagnosis of sleep apnea from airflow and oximetry signals9
Hypertension assessment based on feature extraction using a photoplethysmography signal and its derivatives9
Estimation of free-living walking cadence from wrist-worn sensor accelerometry data and its association with SF-36 quality of life scores9
A novel method for continuous blood pressure estimation based on a single-channel photoplethysmogram signal9
Blood pressure assessment with in-ear photoplethysmography9
CCPNet136: automated detection of schizophrenia using carbon chain pattern and iterative TQWT technique with EEG signals9
Motorcycling performance and sleepiness during an extended ride on a dynamic simulator: relationship with stress biomarkers9
Sex differences in muscle excitation and oxygenation, but not in force fluctuations or active hyperemia resulting from a fatiguing, bilateral isometric task9
Automated detection of schizophrenia using deep learning: a review for the last decade9
Driver sleepiness detection with deep neural networks using electrophysiological data9
Real-time measurement of isometric peak torque and rate of torque development using a novel strength testing device: a validity and reliability study9
Decreased sample entropy during sleep-to-wake transition in sleep apnea patients8
An evaluation and comparison of commercial driver sleepiness detection technology: a rapid review8
The relevance of whole or segmental body bioelectrical impedance phase angle and physical performance in adolescent athletes8
Comparison of different algorithms based on TKEO for EMG change point detection8
Depression evaluation based on prefrontal EEG signals in resting state using fuzzy measure entropy8
Heart rate variability in patients with cirrhosis: a systematic review and meta-analysis8
Ultrasound imaging for assessing functions of the GI tract8
Is there a need for individualized adjustment of electrode belt position during EIT-guided titration of positive end-expiratory pressure?8
Non-invasive quantification of the effect of device-guided slow breathing with direct feedback to the patient to reduce blood pressure8
Accuracy and applicability of non-invasive evaluation of aortic wave intensity using only pressure waveforms in humans8
Robust wave-feature adaptive heartbeat classification based on self-attention mechanism using a transformer model8
Vascular ageing and peripheral pulse: an improved model for assessing their relationship8
Volumetric capnography slopes in ventilated term and preterm infants8
Cardiovascular risk and mortality prediction in patients suspected of sleep apnea: a model based on an artificial intelligence system8
Machine learning model on heart rate variability metrics identifies asymptomatic toddlers exposed to zika virus during pregnancy8
Analysis of relative changes in pulse shapes of intracranial pressure and cerebral blood flow velocity8
Classification of multi-lead ECG with deep residual convolutional neural networks7
Upper limb movement profiles during spontaneous motion in acute stroke7
Premature beats detection based on a novel convolutional neural network7
Capacitively-coupled ECG and respiration for the unobtrusive detection of sleep apnea7
Pulse oximetry SpO 2 signal for automated identification of sleep apnea: a review and future trends7
The effectiveness of continuous respiratory rate monitoring in predicting hypoxic and pyrexic events: a retrospective cohort study7
Automatic ECG classification and label quality in training data7
Carotid Doppler ultrasound for non-invasive haemodynamic monitoring: a narrative review7
Identification and analysis of stable breathing periods in electrical impedance tomography recordings7
A deep neural network for estimating the bladder boundary using electrical impedance tomography7
Accessibility and use of novel methods for predicting physical activity and energy expenditure using accelerometry: a scoping review7
4D flow MRI: impact of region of interest size, angulation and spatial resolution on aortic flow assessment7
A study on several critical problems on arrhythmia detection using varying-dimensional electrocardiography7
Automated identification of the predominant site of upper airway collapse in obstructive sleep apnoea patients using snore signal7
A multi-scale and multi-domain heart sound feature-based machine learning model for ACC/AHA heart failure stage classification7
Estimating blood flow velocity using time-resolved 3D angiography and a derived physical law of contrast media6
Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs6
Prediction models for pulmonary function during acute exacerbation of chronic obstructive pulmonary disease6
Temporal complexity of EEG encodes human alertness6
Influence of ambient temperature on tonic and phasic electrodermal activity components6
Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning6
Spatial–temporal features-based EEG emotion recognition using graph convolution network and long short-term memory6
Dynamic lung behavior under high G acceleration monitored with electrical impedance tomography6
Modelling and analysis of electrical impedance myography of the lateral tongue6
Contactless monitoring of human respiration using infrared thermography and deep learning6
Photoplethysmography in postoperative monitoring of deep inferior epigastric perforator (DIEP) free flaps6
Comparison of neural basis expansion analysis for interpretable time series (N-BEATS) and recurrent neural networks for heart dysfunction classification6
Development of an electrical impedance tomography set-up for the quantification of mineralization in biopolymer scaffolds6
Interbeat interval-based sleep staging: work in progress toward real-time implementation6
Individualized body geometry correction factor (K B) for use when predicting body composition from bioimpedance spectroscopy6
The effect of persistent U-shaped patterns in RR night-time series on the heart rate variability complexity in healthy humans6
Age- and gender-associated differences in the sleepy brain’s electroencephalogram6
Validation of ambulatory monitoring devices to measure energy expenditure and heart rate in a military setting6
Can fetal heart rate variability obtained from cardiotocography provide the same diagnostic value like from electrophysiological interbeat intervals?6
The 2023 wearable photoplethysmography roadmap6
Determination of tidal volume by electrical impedance tomography (EIT) after indirect two-point calibration6
Electrical-tomographic imaging of physiological-induced conductive response in calf muscle compartments during voltage intensity change of electrical muscle stimulation (vic-EMS)6
A portable device with low-power consumption for monitoring mouse vital signs during in vivo photoacoustic imaging and photothermal therapy6
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