Showing results (1781-1790 of 4,136) with videos related to
Sort By:
Pageof 414
Physiological Measurement|April 10, 2019
The impact of cuff width and biological sex on cuff preference and the perceived discomfort to blood-flow-restricted arm exerciseRobert W Spitz, Raksha N Chatakondi, Zachary W Bell, et al.Physiological Measurement|April 10, 2019
Comparison of bolus- and filtering-based EIT measures of lung perfusion in an animal modelSymon Stowe, Alistair Boyle, Michaël Sage, et al.Physiological Measurement|May 4, 2019
Tissue oxygen saturation assessment of microvascular perfusion in adults with Fontan palliation and comparator groups using vascular optical spectrophotometry: a pilot studyRaksheeth Agarwal, Bill Chaudhry, Katrijn Jansen, et al.Physiological Measurement|October 29, 2021
Two-stage ECG signal denoising based on deep convolutional networkLishen Qiu, Wenqiang Cai, Miao Zhang, et al.Physiological Measurement|October 21, 2021
Anatomical atlas of the upper part of the human head for electroencephalography and bioimpedance applicationsFernando S Moura, Roberto G Beraldo, Leonardo A Ferreira, et al.Physiological Measurement|January 28, 2022
Current trends and opportunities in the methodology of electrodermal activity measurementChristian Tronstad, Maryam Amini, Dominik R Bach, et al.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.Pageof 414