Results 11 to 20 of about 5,345,770 (314)

Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring [PDF]

Journal of Clinical and Translational Science, 2021
Introduction: Personalized medicine has exposed wearable sensors as new sources of biomedical data which are expected to accrue annual data storage costs of approximately $7.2 trillion by 2020 (>2000 exabytes).
Brinnae Bent, Jessilyn P. Dunn
doaj   +2 more sources

Oxygen kinetics and the art of physiological monitoring [PDF]

Journal of Critical Care, 1993
Peer Reviewed ; http://deepblue.lib.umich.edu/bitstream/2027.42/31044/1/0000721 ...
Robert H. Bartlett
openalex   +5 more sources

Feasibility and tolerability of physiologic monitoring among pregnant nurses and nursing teams [PDF]

Pilot and Feasibility Studies
Background Most studies of stress during pregnancy have relied on self-reported and recalled measures, leaving a knowledge gap about the impact of acute, or momentary, stressors.
Isha Agarwal, Madeleine Puissant, Irit Altman, Alexandra Hinton, Tania D. Strout, Erika L. Sabbath   +5 more
doaj   +2 more sources

Physiologic monitoring of CPR quality during adult cardiac arrest: A propensity-matched cohort study. [PDF]

Resuscitation, 2016
Sutton RM, French B, Meaney PA, Topjian AA, Parshuram CS, Edelson DP, Schexnayder S, Abella BS, Merchant RM, Bembea M, Berg RA, Nadkarni VM, American Heart Association's Get With The Guidelines–Resuscitation Investigators.   +12 more
europepmc   +2 more sources

Combined cerebral and somatic near-infrared spectroscopy oximetry monitoring during liver surgery: an observational and non-interventional study [PDF]

Korean Journal of Anesthesiology, 2022
Background Cerebral oximetry using near-infrared spectroscopy (NIRS) is used for monitoring cerebral oxygen saturation during cardiac surgery and is correlated with clinical outcomes.
Yves Collin, Tina Hu, André Denault, Annik Fortier, William Beaubien-Souligny, Réal Lapointe, Franck Vandenbroucke-Menu   +6 more
doaj   +1 more source

A New Automatic QT-Interval Measurement Method for Wireless ECG Monitoring System Using Smartphone [PDF]

Journal of Biomedical Physics and Engineering, 2021
QT-interval prolongation is an important parameter for heart arrhythmia diagnosis. It is the time interval from QRS-onset to the T-end of electrocardiogram (ECG). Manual measurement of QT-interval, especially for 12-leads ECG, is time-consuming.
Trio Pambudi Utomo, Nuryani Nuryani, Anto Satriyo Nugroho   +2 more
doaj   +1 more source

Effectiveness, implementation, and monitoring variables of intermittent hypoxic bicycle training in patients recovered from COVID-19: The AEROBICOVID study

Frontiers in Physiology, 2022
Hypoxic exposure is safely associated with exercise for many pathological conditions, providing additional effects on health outcomes. COVID-19 is a new disease, so the physiological repercussions caused by exercise in affected patients and the safety of
Gabriel Peinado Costa, Alba Camacho-Cardenosa, Javier Brazo-Sayavera, Javier Brazo-Sayavera, Marcela Coffacci De Lima Viliod, Marta Camacho-Cardenosa, Yan Figueiredo Foresti, Carlos Dellavechia de Carvalho, Eugenio Merellano-Navarro, Marcelo Papoti, Marcelo Papoti, Átila Alexandre Trapé   +11 more
doaj   +1 more source

Physiological Monitoring in the Operating Room

The Annals of Thoracic Surgery, 1967
Richard K. Hughes
openalex   +3 more sources

Relationship Between Heart Rate and Perceived Exertion in Neuromuscular Diseases: How do Laboratory-Based Exercise Testing Results Translate to Home-Based Aerobic Training Sessions?

Journal of Rehabilitation Medicine, 2023
Objective: To examine the heart rate-perceived exertion relationship between maximal exercise testing and home-based aerobic training in neuromuscular diseases. Design: Multicentre randomized controlled trial, intervention group data.
Eric L. Voorn, Sander Oorschot, Tim Veneman, Bart Raijmakers, Frans Nollet   +4 more
doaj   +1 more source

Deep Learning-Based Electrocardiogram Signal Noise Detection and Screening Model [PDF]

Healthcare Informatics Research, 2019
ObjectivesBiosignal data captured by patient monitoring systems could provide key evidence for detecting or predicting critical clinical events; however, noise in these data hinders their use. Because deep learning algorithms can extract features without
Dukyong Yoon, Hong Seok Lim, Kyoungwon Jung, Tae Young Kim, Sukhoon Lee   +4 more
doaj   +1 more source