Design and Implementation of a Multifunction Wearable Device to Monitor Sleep Physiological Signals
Micromachines, 2020 We present a wearable device built on an Adafruit Circuit Playground Express (CPE) board and integrated with a photoplethysmographic (PPG) optical sensor for heart rate monitoring and multiple embedded sensors for medical applications—in particular ...
Lun-De Liao, I-Jan Wang, Szu-Ying Kao
exaly +3 more sources
An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals
Sensors, 2022 Emotion charting using multimodal signals has gained great demand for stroke-affected patients, for psychiatrists while examining patients, and for neuromarketing applications.
Syed Muhammad Usman +2 more
exaly +3 more sources
Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review
Sensors, 2019 This paper presents a review of the techniques found in the literature that aim to achieve a robust heartbeat detection from fusing multi-modal physiological signals (e.g., electrocardiogram (ECG), blood pressure (BP), artificial blood pressure (ABP ...
Rafael Raya +2 more
exaly +3 more sources
Multimodal Classification of Anxiety Based on Physiological Signals
Applied Sciences (Switzerland), 2023 Multiple studies show an association between anxiety disorders and dysregulation in the Autonomic Nervous System (ANS). Thus, understanding how informative the physiological signals are would contribute to effectively detecting anxiety.
Raquel Sebastiao +2 more
exaly +3 more sources
A Review of Emotion Recognition Using Physiological Signals
Sensors, 2018 Emotion recognition based on physiological signals has been a hot topic and applied in many areas such as safe driving, health care and social security.
Lin Shu, Dan Liao, Xiangmin Xu
exaly +3 more sources
Detection of Physiological Signals Based on Graphene Using a Simple and Low-Cost Method
Sensors, 2019 Despite that graphene has been extensively used in flexible wearable sensors, it remains an unmet need to fabricate a graphene-based sensor by a simple and low-cost method. Here, graphene nanoplatelets (GNPs) are prepared by thermal expansion method, and
Lisheng Xu, Zhiwen Liu, Lp Xie
exaly +3 more sources
FGF23 signalling and physiology [PDF]
Journal of Molecular Endocrinology, 2021 Fibroblast growth factor 23 (FGF23) is a phosphotropic hormone that belongs to a subfamily of endocrine FGFs with evolutionarily conserved functions in worms and fruit flies. FAM20C phosphorylates FGF23 post-translationally, targeting it to proteolysis through subtilisin-like proprotein convertase FURIN, resulting in secretion of FGF23 fragments.
Bryan B, Ho, Clemens, Bergwitz
openaire +2 more sources
A comparative study in class imbalance mitigation when working with physiological signals
Frontiers in Digital HealthClass imbalance is a common challenge that is often faced when dealing with classification tasks aiming to detect medical events that are particularly infrequent. Apnoea is an example of such events.
Esther Rodríguez Villegas
exaly +3 more sources
Exploring the Applicability of Physiological Monitoring to Manage Physical Fatigue in Firefighters
Sensors, 2023 Physical fatigue reduces productivity and quality of work while increasing the risk of injuries and accidents among safety-sensitive professionals. To prevent its adverse effects, researchers are developing automated assessment methods that, despite ...
Denisse Bustos +7 more
doaj +1 more source
Pain and Stress Detection Using Wearable Sensors and Devices—A Review
Sensors, 2021 Pain is a subjective feeling; it is a sensation that every human being must have experienced all their life. Yet, its mechanism and the way to immune to it is still a question to be answered. This review presents the mechanism and correlation of pain and
Jerry Chen +2 more
doaj +1 more source