Results 21 to 30 of about 1,189,074 (264)

Development and Validation of Feature-Based Machine Learning for ECG Artifact Detection and Classification

open access: yesIEEE Access
ECG signals are vital for diagnosing cardiovascular diseases, but artifacts like power line interference, baseline wander, and motion artifacts hinder accurate interpretation.
Jose Moon   +5 more
doaj   +1 more source

Unobtrusive Sleep Monitoring Using Cardiac, Breathing and Movements Activities: An Exhaustive Review

open access: yesIEEE Access, 2018
At least 50% of the world's elderly population, whose range is fast growing, experience disturbed sleep. Sleep studies have become an extensive approach serving as a diagnostic tool for health-care professionals.
Georges Matar   +3 more
doaj   +1 more source

Block sparsity-based joint compressed sensing recovery of multi-channel ECG signals

open access: yesHealthcare Technology Letters, 2017
In recent years, compressed sensing (CS) has emerged as an effective alternative to conventional wavelet based data compression techniques. This is due to its simple and energy-efficient data reduction procedure, which makes it suitable for resource ...
Anurag Singh, Samarendra Dandapat
doaj   +1 more source

Proof-of-concept model for instantaneous heart rate-drift correction during low and high exercise exertion

open access: yesFrontiers in Physiology
Introduction: This study aimed to model below and above anaerobic threshold exercise-induced heart rate (HR) drift, so that the corrected HR could better represent V̇O2 kinetics during and after the exercise itself.Methods: Fifteen healthy subjects (age:
Gabriele B. Papini   +4 more
doaj   +1 more source

Evaluation of severe malaria case management in Mazowe District, Zimbabwe, 2014

open access: yesThe Pan African Medical Journal, 2017
INTRODUCTION: malaria is a preventable and curable disease. Mazowe district had been experiencing a lower malaria transmission rate in comparison to other districts in the Mashonaland Central province but it experienced a huge outbreak in the 2013-2014 ...
Bargley Makumbe   +7 more
doaj   +1 more source

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device

open access: yesHealthcare Technology Letters, 2018
Wearable physiological monitors are becoming increasingly commonplace in the consumer domain, but in literature there exists no substantive studies of their performance when measuring the physiology of ambulatory patients.
Davide Morelli   +4 more
doaj   +1 more source

The incidence of peripheral nerve injuries related to patient positioning during roboticassisted surgery: An evidence summary

open access: yesJournal of Perioperative Nursing, 2021
Objective: To describe the incidence and anatomical locations of peripheral nerve injuries (PNIs) related to patient positioning during urologic, gynaecologic and colorectal robotic-assisted surgery (RAS).
Tina Oblak, Brigid Gillespie
doaj   +1 more source

Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit

open access: yesFrontiers in Digital Health, 2022
Patients in critical care settings often require continuous and multifaceted monitoring. However, current clinical monitoring practices fail to capture important functional and behavioral indices such as mobility or agitation.
Anis Davoudi   +4 more
doaj   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu   +8 more
wiley   +1 more source

Accelerometer-Based Human Activity Recognition for Patient Monitoring Using a Deep Neural Network

open access: yesSensors, 2020
The objective of this study was to investigate the accuracy of a Deep Neural Network (DNN) in recognizing activities typical for hospitalized patients.
Esther Fridriksdottir, Alberto G. Bonomi
doaj   +1 more source

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