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期刊名:Physiological measurement

缩写:PHYSIOL MEAS

ISSN:0967-3334

e-ISSN:1361-6579

IF/分区:2.5/Q3

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共收录本刊相关文章索引2741
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Zhizhong Fu,Zheng Gong,Zhan Shen et al. Zhizhong Fu et al.
Objective: Heterogeneous treatment effect (HTE) is an important method for studying treatment effects between features in physiological measurements. This study proposes a new method for estimating HTE in physiological me...
Jiangli Zhu,Dandan Yan,Chenlei Sun et al. Jiangli Zhu et al.
Objective: Pulmonary function tests (PFTs) are central to assessing ventilatory impairment but are often limited by accessibility, repeatability, and patient compliance, particularly in community and longitudinal monitori...
Yufei Shen,Fan Zhang,Jiakai Wu et al. Yufei Shen et al.
Background and objective: Automated respiratory sound classification based on deep learning is critical for enhancing diagnostic precision and efficiency in respiratory disease. Research on respiratory sound classificatio...
Bartosz Olszewski,Agnieszka Uryga,Cyprian Mataczyński et al. Bartosz Olszewski et al.
Pulse-to-pulse intervals obtained from continuous non-invasive blood pressure (CNBP) signals can be used to derive pulse rate variability (PRV). CNBP signals are susceptible to noise and motion artifacts, which can reduce the reliability of...
José Marco Balleza Ordaz,Moisés Padilla,César Daniel Daniel Bravo Alvarado et al. José Marco Balleza Ordaz et al.
Objective: To evaluate thermal recovery after controlled cooling using dynamic infrared thermography and to determine whether the recovery process can be described using distinct temporal components associated with differ...
Hongpo Zhang,Jiaang Li,Yuheng Li Hongpo Zhang
The widespread adoption of wearable ECG devices has driven an explosive growth of long-term, multi-lead ECG data. However, clinical analysis and model development remain constrained by the excessive cost of data annotation, a limitation par...
Vikas Khurana,Mohammad Aejaz Pamidi,Bharat Bhushan Joshi Bhushan Joshi et al. Vikas Khurana et al.

To improve deep learning-based cuffless blood pressure (BP) estimation from photoplethysmography (PPG) for continuous, non-invasive monitoring when cuff measurements are impractical, by assessing sampling frequency, systolic blood pres...
Ismail Hakki Kinalioglu Ismail Hakki Kinalioglu
Deep learning models for photoplethysmography (PPG)-based arrhythmia detection in intensive care are often evaluated by average accuracy, while conformal prediction (CP) is used to add marginal coverage guarantees. We ask whether aggregate ...
Beatrice Cairo,Raphael Martins Abreu,Vlasta Bari et al. Beatrice Cairo et al.
Objective: Cardiorespiratory coupling (CRC) subsumes diverse mechanisms of reciprocal influence between cardiac and respiratory rhythms. Its most studied manifestation, the respiratory sinus arrhythmia (RSA), is thought t...