Estimation of carotid-femoral pulse wave velocity from finger photoplethysmography signal
Objective . This project compared a new method to estimate the carotid-femoral pulse wave velocity
(cf-PWV) to the gold-standard cf-PWV technique. Approach . The cf-PWV was estimated from the pulse
transit time (FPS-PTT) calculated by processing the finger photoplethysmographic signal of Finapres
(FPS) and subject's height only (brief mode) as well as along with other variables (age, heart rate,
arterial pressure, weight; complete mode). Doppler ultrasound cf-PWVs and FPS-PTTs were measured in
90 participants equally divided into 3 groups (18 –30; 31–59; 60–79 years). Predictions were
performed using multiple l...
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Alessandro Gentilin, Cantor Tarperi, Antonio Cevese, Anna Vittoria Mattioli and Federico Schena Source Type: research
Seizures detection using multimodal signals: a scoping review
Conclusion . The overall performance in seizure
detection system based on non-cerebral physiological signals is promising, especially for the
detection of motor seizures and seizures accompanied with intense ictal autonomic changes. (Source: Physiological Measurement)
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Fangyi Chen, Ina Chen, Muhammad Zafar, Saurabh R Sinha and Xiao Hu Source Type: research
Heart rate estimation and validation algorithm for fetal phonocardiography
Objective. Fetal heart rate (FHR) is an important parameter for assessing fetal well-being and is
usually measured by doppler ultrasound. Fetal phonocardiography can provide non-invasive,
easy-to-use and passive alternative for fetal monitoring method if reliable FHR measurements can be
made even in noisy clinical environments. Therefore, this work presents an automatic algorithm to
determine FHR from the fetal heart sound recordings in a noisy clinical environment. Approach. Using
an electronic stethoscope fetal heart sounds were recorded from the expecting mother's abdomen,
during weeks 30 –40 of their pregnancy....
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Amrutha Bhaskaran, Sidhesh Kumar J, Shirley George and Manish Arora Source Type: research
Blind source separation of inspiration and expiration in respiratory sEMG signals
Objective. Surface electromyography (sEMG) is a noninvasive option for monitoring respiratory effort
in ventilated patients. However, respiratory sEMG signals are affected by crosstalk and cardiac
activity. This work addresses the blind source separation (BSS) of inspiratory and expiratory
electrical activity in single- or two-channel recordings. The main contribution of the presented
methodology is its applicability to the addressed muscles and the number of available channels.
Approach. We propose a two-step procedure consisting of a single-channel cardiac artifact removal
algorithm, followed by a single- or multi-...
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Julia Sauer, Merle Streppel, Niklas M Carbon, Eike Petersen and Philipp Rostalski Source Type: research
Blink duration is increased in concussed youth athletes: a validity study using eye tracking in male
youth and adult athletes of selected contact sports
Conclusions . Blink duration in youth athletes holds promise as a valid metric for concussion
diagnostics and monitoring. It is recommended to focus future studies on comparing eye tracking
performance within the same concussed athletes over time rather than comparing them to healthy
controls. (Source: Physiological Measurement)
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Nadja Snegireva, Wayne Derman, Jon Patricios and Karen Welman Source Type: research
Classification of multi-lead ECG with deep residual convolutional neural networks
In this study, we propose a novel method to accurately classify
multi-lead ECGs using deep residual neural networks. Approach . ECG recordings from seven different
open databases were provided by PhysioNet/Computing in Cardiology Challenge 2021. All the ECGs were
pre-processed to obtain the same sampling rate. The label inconsistency among the databases was
corrected by adding or removing specific labels. A label mask was created to filter out potentially
incorrectly labelled data. Five models based on deep residual convolutional neural networks were
optimized using an asymmetric loss function to classify multi-lead ...
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Wenjie Cai, Fanli Liu, Bolin Xu, Xuan Wang, Shuaicong Hu and Mingjie Wang Source Type: research
Assessing systemic vascular resistance using arteriolar pulse transit time based on multi-wavelength
photoplethysmography
Objective. Sympathetic nerve activity affects blood pressure by contracting the arteriole, which can
increase systemic vascular resistance (SVR). Consequently, SVR is a key factor affecting blood
pressure. However, a method for measuring SVR continuously is lacking. This paper formulated and
experimentally validated a method that uses the arteriolar pulse transmit time (aPTT) to track
changes in SVR. Approach. multi-wavelength photoplethysmogram (PPG), electrocardiogram (ECG), and
galvanic skin response (GSR) data were simultaneously gathered using a measurement system designed
by this study. Blood perfusion was moni...
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Yiqian Lu, Zengjie Yu, Jikui Liu, Qi An, Cong Chen, Ye Li and Yishan Wang Source Type: research
Abnormality classification from electrocardiograms with various lead combinations
In this study, our objective is to build robust models that can accurately
classify 30 types of abnormalities from various lead combinations of ECG signals. Approach . Given
the challenges of this problem, we propose a framework for building robust models for ECG signal
classification. Firstly, a preprocessing workflow is adopted for each ECG dataset to mitigate the
problem of data divergence. Secondly, to capture the lead-wise relations, we use a
squeeze-and-excitation deep residual network as our base model. Thirdly, we propose a
cross-relabeling strategy and apply the sign-augmented loss function to tackle the cor...
Source: Physiological Measurement - July 17, 2022 Category: Physiology Authors: Zhuoyang Xu, Yangming Guo, Tingting Zhao, Yue Zhao, Zhuo Liu, Xingzhi Sun, Guotong Xie and Yichong Li Source Type: research
Quantifying tidal expiratory flow limitation using a vector-based analysis technique
Objective . Tidal expiratory flow limitation (EFL T ) is commonly identified by tidal breaths
exceeding the forced vital capacity (FVC) loop. This technique, known as the Hyatt method, is
limited by the difficulties in defining the FVC and tidal flow-volume (TV) loops. The vector-based
analysis (VBA) technique described and piloted in this manuscript identifies and quantifies EFL T as
tidal breaths that conform to the contour of the FVC loop. Approach . The FVC and TV loops are
interpolated to generate uniformly spaced plots. VBA is performed to determine the smallest vector
difference between each point on the FVC a...
Source: Physiological Measurement - December 30, 2021 Category: Physiology Authors: Ryan Welch, Alaina Francis, Thalia Babbage, Mandy Lardenoye, John Kolbe and Kevin Ellyett Source Type: research
Sex differences in muscle excitation and oxygenation, but not in force fluctuations or active
hyperemia resulting from a fatiguing, bilateral isometric task
It remains to be fully elucidated if there are sex-specific physiological adjustments within the
human neuromuscular and vascular systems that contribute to symptoms of fatigue during a sustained
bilateral task. This, in part, is likely due to various limitations in experimental design such as
an inability to independently record force fluctuations from each limb. Objective . Therefore, the
purpose of the current study was to examine the fatigue-induced changes in muscle excitation, force
fluctuations, skeletal muscle tissue saturation (StO 2 ), and muscle blood flow resulting from a
sustained, bilateral task. Approa...
Source: Physiological Measurement - December 30, 2021 Category: Physiology Authors: Joshua L Keller, John Paul V Anders, Tyler J Neltner, Terry J Housh, Richard J Schmidt and Glen O Johnson Source Type: research
Nonhomogeneous volume conduction effects affecting needle electromyography: an analytical and
simulation study
Conclusion. (Source: Physiological Measurement)
Source: Physiological Measurement - December 30, 2021 Category: Physiology Authors: Xuesong Luo, Shaoping Wang, Seward B Rutkove and Benjamin Sanchez Source Type: research
Model-based approach to investigate equipment-induced error in pressure-waveform derived hemodynamic
measurements
Objective. Advanced hemodynamic monitoring systems have provided less invasive methods for
estimating pressure-derived measurements such as pressure-derived cardiac output (CO) measurements.
These devices apply algorithms to arterial pressure waveforms recorded via pressure recording
components that transmit the pressure signal to a pressure monitor. While standards have been
developed for pressure monitoring equipment, it is unclear how the equipment-induced error can
affect secondary measurements from pressure waveforms. We propose an approach for modelling
different components of a pressure monitoring system and u...
Source: Physiological Measurement - December 30, 2021 Category: Physiology Authors: Masoud Farahmand, Hossein Mirinejad and Christopher G Scully Source Type: research
A novel single-lead handheld atrial fibrillation detection system
This study proposed a novel AF detection system
with a user-friendly interaction and a lightweight and accurate AF detection algorithm. Approach .
The system consisted of a single-lead handheld electrocardiogram device with a novel appearance like
a gaming handle and a smartphone terminal embedded with AF detection. After feature optimization,
the rule-based multi-feature AF detection algorithm had relatively good AF detection ability. Three
types of experiments were designed to test the performance of the system. (1) Test the accuracy and
time/memory cost of the AF detection algorithm. (2) Compare the proposed devic...
Source: Physiological Measurement - December 30, 2021 Category: Physiology Authors: Ying Li, Jianqing Li, Chenxi Yang, Yantao Xing and Chengyu Liu Source Type: research
Temperature and creatine kinase changes during a 10d taper period in sprinters
Objective. The aim of this prospective cohort study, performed during a 10 d training camp, was to
analyze the effect of a series of successive speed-power training sessions on the concurrent
circadian changes in resting leg skin temperature and blood creatine kinase (CK) levels and to
determine the correlation between them. Approach . Seventeen elite sprinters, aged 22 –31 years, were
examined. Every morning and evening, capillary blood samples were drawn to assay CK levels. Lower
limb skin temperature was measured simultaneously, and thermal images were taken using an infrared
camera. Main results . From the first ...
Source: Physiological Measurement - December 29, 2021 Category: Physiology Authors: Pawe ? Korman, Krzysztof Kusy, Adam Kantanista, Anna Straburzy?ska-Lupa and Jacek Zieli?ski Source Type: research
Robust wave-feature adaptive heartbeat classification based on self-attention mechanism using a
transformer model
Objective . Electrocardiography is a common method for screening cardiovascular diseases. Accurate
heartbeat classification assists in diagnosis and has attracted great attention. In this paper, we
proposed an automatic heartbeat classification method based on a transformer neural network using a
self-attention mechanism. Approach. An adaptive heartbeat segmentation method was designed to
selectively focus on the time-dependent representation of heartbeats. A one-dimensional convolution
layer was used to embed wave characteristics into symbolic representations, and then, a transformer
block using multi-head attention...
Source: Physiological Measurement - December 29, 2021 Category: Physiology Authors: Shuaicong Hu, Wenjie Cai, Tijie Gao, Jiajun Zhou and Mingjie Wang Source Type: research
