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 +4 more
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Remote monitoring for heart failure: Assessing the risks of readmission and mortality
American Heart Journal Plus, 2021 Study objective: Remote monitoring (RM) can help patients with heart failure (HF) remain free of hospitalization. Our objective was to implement a patient-centered RM program that ensured timely clinical response, which would be associated with reduced ...
Amber E. Johnson +7 more
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Internet of Things Applied in Healthcare Based on Open Hardware with Low-Energy Consumption [PDF]
Healthcare Informatics Research, 2019 ObjectivesThe Internet of Things (IoT) and its applications are growing simultaneously. These applications need new intelligent devices along heterogeneous networking. Which makes them costly to implement indeed.
Leonardo Juan Ramirez Lopez +2 more
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Requirements for Supporting Diagnostic Equipment of Respiration Process in Humans
Sensors, 2021 There is abundant worldwide research conducted on the subject of the methods of human respiration process examination. However, many of these studies describe methods and present the results while often lacking insight into the hardware and software ...
Szymon Nitkiewicz +7 more
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Sensors, 2022 Competitive indoor climbing has increased in popularity at the youth, collegiate, and Olympic levels. A critical aspect for improving performance is characterizing the physiologic response to different climbing strategies (e.g., work/rest patterns ...
Miyuki Breen +4 more
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Multimodality Monitoring in the Neurointensive Care Unit: A Special Perspective for Patients with Stroke [PDF]
Journal of Stroke, 2013 Multimodality monitoring (MMM) is a recently developed method that aids in understanding real-time brain physiology. Early detection of physiological disturbances is possible with the help of MMM, which allows identification of underlying causes of ...
Sang-Bae Ko
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Homeostasis as the Mechanism of Evolution. [PDF]
, 2015 Homeostasis is conventionally thought of merely as a synchronic (same time) servo-mechanism that maintains the status quo for organismal physiology. However, when seen from the perspective of developmental physiology, homeostasis is a robust, dynamic ...
Torday, John S
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Relationship between Vital Signs and Asthma Attack Levels of Patients having Asthmatic Episodes
Journal of the Dow University of Health Sciences, 2022 Objective: To analysis the relationship of vital signs of patients experiencing acute asthmatic episodes presenting in the emergency room. Methods: A cross-sectional study was conducted at the emergency department of provincial hospital, in Banjarmasin,
Hammad Matapura, Ainun Sajidah, Heru SWN
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Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex. [PDF]
, 2016 Bioresorbable silicon electronics technology offers unprecedented opportunities to deploy advanced implantable monitoring systems that eliminate risks, cost and discomfort associated with surgical extraction. Applications include postoperative monitoring
Bink, Hank +26 more
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Noise in the neonatal intensive care unit: a new approach to examining acoustic events
Noise and Health, 2018 Introduction: Environmental noise is associated with negative developmental outcomes for infants treated in the neonatal intensive care unit (NICU). The existing noise level recommendations are outdated, with current studies showing that these standards ...
Shaylynn W Smith +2 more
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