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Physiological Measurement|April 5, 2022
Sleep staging classification based on a new parallel fusion method of multiple sources signalsYafang Hei, Tuming Yuan, Zhigao Fan, et al.Physiological Measurement|April 22, 2022
Automatic ECG classification and label quality in training dataĽubomír Antoni, Erik Bruoth, Peter Bugata, et al.Physiological Measurement|April 26, 2022
A study on several critical problems on arrhythmia detection using varying-dimensional electrocardiographyJingsu Kang, Hao WenPhysiological Measurement|April 12, 2022
End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiographySaeed Mehrang, Mojtaba Jafari Tadi, Timo Knuutila, et al.Physiological Measurement|September 6, 2018
Comment on 'New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy'Noud van Helmond, Jeffrey I JosephPhysiological Measurement|September 6, 2018
Dynamic signal quality index for electrocardiogramsNegin Yaghmaie, Mohammad Ali Maddah-Ali, Herbert F Jelinek, et al.Physiological Measurement|September 7, 2018
Detection of atrial fibrillation from ECG recordings using decision tree ensemble with multi-level featuresMinggang Shao, Guangyu Bin, Shuicai Wu, et al.Physiological Measurement|April 12, 2019
Heart rate variability monitoring for emotion and disorders of emotionJianping Zhu, Lizhen Ji, Chengyu LiuPhysiological Measurement|April 19, 2019
Cutaneous perfusion of the human lactating breast: a pilot study with laser Doppler perfusion monitoringMiriam van der Hoek, Lya den Haan, Ageeth Kaspers, et al.Physiological Measurement|October 29, 2021
Night to night variability of pulse oximetry features in children at home and at the hospitalXenia L R Hoppenbrouwer, Aryannah U Rollinson, Dustin Dunsmuir, et al.Pageof 418