ECGPsychNet: an optimized hybrid ensemble model for automatic detection of psychiatric disorders using ECG signals
Conclusions. Our developed prototype is able to detect SCZ, DPR, and BD using ECG signals. However, the automated ECGPsychNet is ready to be tested with more datasets including diff erent races and age groups. (Source: Physiological Measurement)
Source: Physiological Measurement - November 21, 2023 Category: Physiology Authors: Smith K Khare, Vikram M Gadre and U Rajendra Acharya Source Type: research
Anti-motion imaging photoplethysmography via self-adaptive multi-ROI tracking and selection
Objective. The imaging photoplethysmography (IPPG) technique allows people to measure heart rate (HR) from face videos. However, motion artifacts caused by rigid head movements and nonrigid facial muscular movements are one of the key challenges. Approach. This paper proposes a self-adaptive region of interest (ROI) pre-tracking and signal selection method to resist motion artifacts. Based on robust facial landmark detection, we split the whole facial skin (including the forehead, cheeks, and chin) symmetrically into small circular regions. And two symmetric sub-regions constitute a complete ROI. These ROIs are tracked and...
Source: Physiological Measurement - November 13, 2023 Category: Physiology Authors: Yaran Duan, Chao He and Mei Zhou Source Type: research
Methods and evaluation of physiological measurements with acoustic stimuli —a systematic review
Objective.  The detection of psychological loads, such as stress reactions, is receiving greater attention and social interest, as stress can have long-term effects on health O’Connor, Thayer and Vedhara (2021 Ann. Rev. Psychol.72, 663–688). Acoustic stimuli, especially noise, are investigated as triggeri ng factors. The application of physiological measurements in the detection of psychological loads enables the recording of a further quantitative dimension that goes beyond purely perceptive questionnaires. Thus, unconscious reactions to acoustic stimuli can also be captured. The numerous physiologi cal signals and p...
Source: Physiological Measurement - November 13, 2023 Category: Physiology Authors: Christian Laufs, Andreas Herweg and Christoph Hoog Antink Source Type: research
Validity and reliability of the DANU sports system for walking and running gait assessment
Objective. Gait assessments have traditionally been analysed in laboratory settings, but this may not reflect natural gait. Wearable technology may offer an alternative due to its versatility. The purpose of the study was to establish the validity and reliability of temporal gait outcomes calculated by the DANU sports system, against a 3D motion capture reference system. Approach. Forty-one healthy adults (26 M, 15 F, age 36.4 ± 11.8 years) completed a series of overground walking and jogging trials and 60 s treadmill walking and running trials at various speeds (8–14 km hr−1), participants returned for a second testi...
Source: Physiological Measurement - November 6, 2023 Category: Physiology Authors: Rachel Mason, Gillian Barry, Hugh Robinson, Ben O ’Callaghan, Oisin Lennon, Alan Godfrey and Samuel Stuart Source Type: research
A three-dimensional adaptive rational interpolation algorithm for removing TMS-EEG pulse artifacts
Objective. Transcranial magnetic stimulation in combination with electroencephalography (TMS-EEG) has been widely used to study the reactivity and connectivity of brain regions. In order to efficiently and fast solve the pulse artifacts problem caused by TMS electromagnetic pulses, a three-dimensional adaptive rational quadratic Hermite interpolation algorithm is proposed. Approach. Firstly, a three-dimensional signal matrix is obtained by a signal recombination algorithm, where the removed window is automatically obtained by a derivative threshold. Secondly, the adaptive rational quartic Hermite interpolation algorithm is...
Source: Physiological Measurement - November 6, 2023 Category: Physiology Authors: Hui Xiong, Yajun Di, Jinzhen Liu, Yuqing Han and Yu Zheng Source Type: research
Influence of sex on the reliability of cerebral blood velocity regulation during lower body negative pressure and supine cycling with considerations of the menstrual cycle
Objective. To evaluate sex differences in the reliability of absolute and relative cerebral blood velocity (CBv) during concurrent supine cycling with lower body negative pressure (LBNP). Approach. A total of 19 participants (11 females; aged 20 –33 years) completed five testing sessions, occurring on 7 d intervals. Visit 1 was a maximal-ramp-cycle test to ascertain peak CBv wattage. During visits 2–5, supine cycling protocol occurred at individualized peak CBv wattages with progressive decreases in LBNP from 0 to −20, −40, −60, − 70, and −80 Torr. Menstrual cycle day was self-reported via the Rhinessa Womenâ...
Source: Physiological Measurement - November 6, 2023 Category: Physiology Authors: Nathan E Johnson, Joel S Burma, Jina Seok, Lauren N Miutz and Jonathan D Smirl Source Type: research
Multi-channel EEG-based sleep staging using brain functional connectivity and domain adaptation
Objective. Sleep stage recognition has essential clinical value for evaluating human physical/mental condition and diagnosing sleep-related diseases. To conduct a five-class (wake, N1, N2, N3 and rapid eye movement) sleep staging task, twenty subjects with recorded six-channel electroencephalography (EEG) signals from the ISRUC-SLEEP dataset is used. Approach. Unlike the exist methods ignoring the channel coupling relationship and non-stationarity characteristics, we developed a brain functional connectivity method to provide a new insight for multi-channel analysis. Furthermore, we investigated three frequency-domain feat...
Source: Physiological Measurement - October 31, 2023 Category: Physiology Authors: Wenhao Yuan, Wentao Xiang, Kaiyue Si, Chunfeng Yang, Lina Zhao, Jianqing Li and Chengyu Liu Source Type: research
An effective hybrid feature selection using entropy weight method for automatic sleep staging
Objective. Sleep staging is the basis for sleep quality assessment and diagnosis of sleep-related disorders. In response to the inadequacy of traditional manual judgement of sleep stages, using machine learning techniques for automatic sleep staging has become a hot topic. To improve the performance of sleep staging, numerous studies have extracted a large number of sleep-related characteristics. However, there are redundant and irrelevant features in the high-dimensional features that reduce the classification accuracy. To address this issue, an effective hybrid feature selection method based on the entropy weight method ...
Source: Physiological Measurement - October 31, 2023 Category: Physiology Authors: Weibo Wang, Junwen Li, Yu Fang, Yongkang Zheng and Fang You Source Type: research
Analysis of intracranial pressure pulse waveform in studies on cerebrospinal compliance: a narrative review
Continuous monitoring of mean intracranial pressure (ICP) has been an essential part of neurocritical care for more than half a century. Cerebrospinal pressure –volume compensation, i.e. the ability of the cerebrospinal system to buffer changes in volume without substantial increases in ICP, is considered an important factor in preventing adverse effects on the patient’s condition that are associated with ICP elevation. However, existing assessment met hods are poorly suited to the management of brain injured patients as they require external manipulation of intracranial volume. In the 1980s, studies suggested that spo...
Source: Physiological Measurement - October 26, 2023 Category: Physiology Authors: Agnieszka Kazimierska, Romain Manet, Alexandra Vallet, Eric Schmidt, Zofia Czosnyka, Marek Czosnyka and Magdalena Kasprowicz Source Type: research
Individualized monitoring of heat illness risk: novel adaptive physiological strain index to assess exercise-heat strain from athletes to fully encapsulated workers
Objective. Exercise-heat strain estimation approaches often involve combinations of body core temperature (Tcore), skin temperature (Tsk) and heart rate (HR). A successful existing measure is the ‘Physiological Strain Index’ (PSI), which combines HR and Tcore values to estimate strain. However, depending on variables such as aerobic fitness and clothing, the equation’s ‘maximal/critical’ Tcore must be changed to accurately represent the strain, in part because high Tsk (small Tcore −Tsk) can increase cardiovascular strain and thereby negatively affect performance. Here, an ‘adaptive PSI’ (aPSI) is presented...
Source: Physiological Measurement - October 19, 2023 Category: Physiology Authors: Mark J Buller, Emma Atkinson, Kyla Driver, William J Tharion, Brett R Ely, Samuel N Cheuvront and Nisha Charkoudian Source Type: research
Pulse wave analysis as a tool for the evaluation of resuscitation therapy in septic shock
Conclusion. Even when used alone, PWA indices were highly informative when assessing therapy responses in cases of septic shock. Significance. A complex pathological condition like septic shock requires extensive monitoring without neglecting important information from commonly measured signals such as arterial blood pressure. Future studies are needed to understand how individual differences in the response to therapy are associated with different cardiovascular conditions that may become specific therapy targets. (Source: Physiological Measurement)
Source: Physiological Measurement - October 12, 2023 Category: Physiology Authors: Riccardo Campitelli, Manuela Ferrario, Fuhong Su, Jacques Creteur, Antoine Herpain and Marta Carrara Source Type: research
Uncertainty quantification of the effect of cardiac position variability in the inverse problem of electrocardiographic imaging
This study establishes develops, and characterizes the application of UQ to ECGI. Approach. We establish two formulations for applying UQ to ECGI: a polynomial chaos expansion (PCE) based parametric UQ formulation (PCE-UQ formulation), and a novel UQ-aware inverse formulation which leverages our previously established 'joint-inverse' formulation (UQ joint-inverse formulation). We apply these to evaluate the effect of uncertainty in the heart position on the ECGI solutions across a range of ECGI datasets. Main results. We demonstrated the ability of our UQ-ECGI formulations to characterize the effect of parameter uncertaint...
Source: Physiological Measurement - October 12, 2023 Category: Physiology Authors: Jake A Bergquist, Brian Zenger, Lindsay C Rupp, Anna Busatto, Jess Tate, Dana H Brooks, Akil Narayan and Rob S MacLeod Source Type: research
Evaluation of three approaches used for respiratory measurement in healthy subjects
Objective. Respiration is one of the critical vital signs of human health status, and accurate respiratory monitoring has important clinical significance. There is substantial evidence that alterations in key respiratory parameters can be used to determine a patient's health status, aid in the selection of appropriate treatments, predict potentially serious clinical events and control respiratory activity. Although various approaches have been developed for respiration monitoring, no definitive conclusions have been drawn regarding the accuracy of these approaches because each has different advantages and limitations. In t...
Source: Physiological Measurement - October 12, 2023 Category: Physiology Authors: Xiaojuan Duan, Xin Song, Caidie Yang, Yunchi Li, Liang Wei, Yushun Gong and Yongqin Li Source Type: research
Completing the Cabrera Circle: deriving adaptable leads from ECG limb leads by combining constraints with a correction factor
We present a concept for processing 6-lead electrocardiography (ECG) signals which can be applied to various use cases in quantitative electrocardiography. Approach. Our work builds upon the mathematics of the well-known Cabrera sequence which is a re-sorting of the six limb leads (I, II, III, aVR, aVL, aVF) into a clockwise and physiologically-interpretable order. By deriving correction factors for harmonizing lead strengths and choosing an appropriate basis for the leads, we extend this concept towards what we call the 'Cabrera Circle' based on a mathematically sound foundation. Main results. To demonstrate the practical...
Source: Physiological Measurement - October 12, 2023 Category: Physiology Authors: Henning Dathe, Dagmar Krefting and Nicolai Spicher Source Type: research
HIRA: Heart Rate Interval based Rapid Alert score to characterize autonomic dysfunction among patients with sepsis-related acute respiratory failure (ARF)
Objective. To examine whether heart rate interval based rapid alert (HIRA) score derived from a combination model of heart rate variability (HRV) and modified early warning score (MEWS) is a surrogate for the detection of acute respiratory failure (ARF) in critically ill sepsis patients. Approach. Retrospective HRV analysis of sepsis patients admitted to Emory healthcare intensive care unit (ICU) was performed between sepsis-related ARF and sepsis controls without ARF. HRV measures such as time domain, frequency domain, and nonlinear measures were analyzed up to 24 h after patient admission, 1 h before the onset of ARF, an...
Source: Physiological Measurement - October 12, 2023 Category: Physiology Authors: Preethi Krishnan, Milad G Rad, Palak Agarwal, Curtis Marshall, Philip Yang, Sivasubramanium V Bhavani, Andre L Holder, Annette Esper and Rishikesan Kamaleswaran Source Type: research
