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Physiological Measurement|December 9, 2020
Breathing rate and heart rate as confounding factors in measuring T wave alternans and morphological variability in ECGIsmail Sadiq, Erick A Perez-Alday, Amit J Shah, et al.
Physiological Measurement|December 9, 2020
Polysomnographic characteristics and acoustic analysis of catathrenia (nocturnal groaning)Min Yu, Yongfei Wen, Liyue Xu, et al.
Physiological Measurement|July 22, 2021
Improvement of exhausted cerebral autoregulation in patients with idiopathic intracranial hypertension benefit of venous sinus stentingJie Chen, Pei Dong, Kehui Dong, et al.
Physiological Measurement|May 24, 2022
From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-versus-rest classification strategySantiago Jiménez-Serrano, Miguel Rodrigo, Conrado J Calvo, et al.
Physiological Measurement|May 26, 2022
Multi-label classification of reduced-lead ECGs using an interpretable deep convolutional neural networkNima L Wickramasinghe, Mohamed Athif
Physiological Measurement|April 11, 2008
The role of the autonomic nervous system in hypertension: a bond graph model studyShuzhen Chen, Shaowen Zhang, Yuexian Gong, et al.
Physiological Measurement|June 19, 2008
Detection of ST segment deviation episodes in ECG using KLT with an ensemble neural classifierFayyaz A Afsar, M Arif, J Yang
Physiological Measurement|June 19, 2008
Digital lock-in techniques for adaptive power-line interference extractionDobromir Dobrev, Tatyana Neycheva, Nikolay Mudrov
Physiological Measurement|February 10, 2021
Automated remote decision-making algorithm as a primary triage system using machine learning techniquesDohyun Kim, Jewook Chae, Yunjung Oh, et al.
Physiological Measurement|January 22, 2021
A 4D flow cardiovascular magnetic resonance study of flow asymmetry and haemodynamic quantity correlations in the pulmonary arteryHenrike Gbinigie, Louise Coats, Jehill D Parikh, et al.
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