Results 61 to 70 of about 6,786 (191)

Vascular dysfunction in women with recurrent pregnancy loss: Possible association with antiphospholipid antibodies

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 206-214, April 2025.
Abstract Objective Antiphospholipid antibodies (aPL) are recognized to have a pivotal role in recurrent pregnancy loss (RPL) and cardiovascular disease. Therefore, we assessed the vascular function of women with RPL and examined the association with each type of aPL.
Titi Yang, Emi Okada, Maho Todoroki, Siyu Liu, Rukmali Athurupana, Kumie Kataoka, Chiaki Kashino, Takashi Mitsui, Toru Hasegawa, Yasuhiko Kamada, Hisashi Masuyama, Mikiya Nakatsuka   +11 more
wiley   +1 more source

End-to-end non-invasive ECG signal generation from PPG signal: a self-supervised learning approach

Frontiers in Physiology
Electrocardiogram (ECG) signals are frequently utilized for detecting important cardiac events, such as variations in ECG intervals, as well as for monitoring essential physiological metrics, including heart rate (HR) and heart rate variability (HRV ...
Murat Yalcin, Marc Erich Latoschik
doaj   +1 more source

Using non-invasive wearables for detecting emotions with intelligent agents [PDF]

, 2017
This paper proposes the use of intelligent wristbands for the automatic detection of emotional states in order to develop an application which allows to extract, analyze, represent and manage the social emotion of a group of entities.
Carrascosa, Carlos, Costa, Ângelo Gonçalo Araújo Silva, Julian, Vicente, Novais, Paulo, Rincon, Jaime Andres   +4 more
core   +1 more source

Wearable Electronic Monitoring of Vital Signs in Hospitalised Adults: A Nursing Focused Scoping Review of Clinical, Economic and Implementation Outcomes

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To synthesise evidence on wearable devices for continuous vital signs monitoring in adult hospital inpatients, focusing on clinical effectiveness, nursing perspectives, workflow impact, patient experience and resource implications. Design Scoping review.
Sian Myfanwy Shaw, Sophie Bethan Shaw, Gillian Janes   +2 more
wiley   +1 more source

Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review

Sensors
Machine learning algorithms have brought remarkable advancements in detecting motion artifacts (MAs) from the photoplethysmogram (PPG) with no measured or synthetic reference data. However, no study has provided a synthesis of these methods, let alone an
Erick Javier Argüello-Prada, Javier Ferney Castillo García   +1 more
doaj   +1 more source

Mathematical Modeling of Arterial Blood Pressure Using Photo-Plethysmography Signal in Breath-hold Maneuver

, 2018
Recent research has shown that each apnea episode results in a significant rise in the beat-to-beat blood pressure and by a drop to the pre-episode levels when patient resumes normal breathing. While the physiological implications of these repetitive and
Alex, Raichel M., Behbehani, Khosrow, Watenpaugh, Donald E., Zadi, Armin Soltan, Zhang, Rong   +4 more
core   +1 more source

Gaussian modelling characteristics changes derived from finger photoplethysmographic pulses during exercise and recovery [PDF]

, 2018
Gaussian modelling method has been reported as a useful method to analyze arterial pulse waveform changes. This study aimed to provide scientific evidence on Gaussian modelling characteristics changes derived from the finger photoplethysmographic (PPG ...
Gu, Guanxiong, Wang, Anran, Wen, Weimin, Yang, Lin, Zhang, Song, Zheng, Dingchang   +5 more
core   +1 more source

Role of a Deep‐Learning Based Convolutional Neural Network Model for Real‐Time Ventricular Tachycardia Alarm Classification

Journal of Cardiovascular Electrophysiology, EarlyView.
Our manuscript discusses the role of a Convolutional Neural network based Deep‐learning model for the classification of ventricular tachycardia alarms. Our algorithm based on input from multiple raw waveform inputs, including electrocardiogram leads, photoplethysmogram, and arterial blood pressure signals achieved a good degree of accuracy and ...
Unmesh Khanolkar, Ashish Yadav, Avdhesh Mann, Scott Pappada, Abhishek Deshmukh, Abhishek Maan   +5 more
wiley   +1 more source

Towards Continuous and Ambulatory Blood Pressure Monitoring: Methods for Efficient Data Acquisition for Pulse Transit Time Estimation

Sensors, 2020
We developed a prototype for measuring physiological data for pulse transit time (PTT) estimation that will be used for ambulatory blood pressure (BP) monitoring.
Oludotun Ode, Lara Orlandic, Omer T. Inan   +2 more
doaj   +1 more source

Extraction of Heart Rate Variability from Smartphone Photoplethysmograms [PDF]

Computational and Mathematical Methods in Medicine, 2015
Heart rate variability (HRV) is a useful clinical tool for autonomic function assessment and cardiovascular diseases diagnosis. It is traditionally calculated from a dedicated medical electrocardiograph (ECG). In this paper, we demonstrate that HRV can also be extracted from photoplethysmograms (PPG) obtained by the camera of a smartphone.
Peng, Rong-Chao, Zhou, Xiao-Lin, Lin, Wan-Hua, Zhang, Yuan-Ting   +3 more
openaire   +2 more sources