Results 51 to 60 of about 10,328,247 (342)

Assessing complexity in physiological systems through biomedical signals analysis [PDF]

open access: yes, 2020
Editorial Assessing Complexity in Physiological Systems through Biomedical Signals ...
Valenza G.   +6 more
core   +1 more source

Dietary nitrate reduces skeletal muscle oxygenation response to physical exercise : a quantitative muscle functional MRI study [PDF]

open access: yes, 2014
© 2014 The Authors. Physiological Reports published by Wiley Periodicals, Inc.
Gray, Stuart R   +12 more
core   +1 more source

Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review

open access: yesSensors, 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 ...
Javier Tejedor   +4 more
doaj   +1 more source

Stress Level Estimation Based on Physiological Signals for Virtual Reality Applications

open access: yesIEEE Access, 2022
Virtual Reality (VR) video games have become popular in recent years with the emergence of a wide variety of enhanced VR hardware systems. Typically, current VR video games incorporate high-quality auditory and video feedback along with vibro-tactile ...
C. E. Orozco-Mora   +3 more
doaj   +1 more source

Asian Affective and Emotional State (A2ES) Dataset of ECG and PPG for Affective Computing Research

open access: yesAlgorithms, 2023
Affective computing focuses on instilling emotion awareness in machines. This area has attracted many researchers globally. However, the lack of an affective database based on physiological signals from the Asian continent has been reported.
Nor Azlina Ab. Aziz   +7 more
doaj   +1 more source

Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition

open access: yesFrontiers in Psychology, 2022
Emotions are multimodal processes that play a crucial role in our everyday lives. Recognizing emotions is becoming more critical in a wide range of application domains such as healthcare, education, human-computer interaction, Virtual Reality ...
Nastaran Saffaryazdi   +6 more
semanticscholar   +1 more source

Biometric Recognition Using Multimodal Physiological Signals

open access: yesIEEE Access, 2019
In this paper, we address the problem of biometric recognition using the multimodal physiological signals. To this end, four different signals are considered: heart rate (HR), breathing rate (BR), palm electrodermal activity (P-EDA), and perinasal ...
Simone Bianco, Paolo Napoletano
doaj   +1 more source

CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors

open access: yesSensors, 2020
Recognizing user emotions while they watch short-form videos anytime and anywhere is essential for facilitating video content customization and personalization.
Tianyi Zhang   +4 more
doaj   +1 more source

Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis

open access: yesACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Epilepsy is one of the significant neurological disorders affecting nearly 65 million people worldwide. The repeated seizure is characterized as epilepsy.
D. Dash   +3 more
semanticscholar   +1 more source

Physiological Signals That Induce Flowering. [PDF]

open access: yesThe Plant Cell, 1993
The timing of the transition from vegetative growth to flowering is of paramount importance in agriculture, horticulture, and plant breeding because flowering is the first step of sexual reproduction. Studies to understand how this transition is controlled have occupied countless physiologists during the past half century and have produced an almost ...
G., Bernier   +4 more
openaire   +2 more sources

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