Results 41 to 50 of about 7,889,874 (346)
Characterizing Information Seeking Processes with Multiple Physiological Signals [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information RetrievalInformation access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys.
Kaixin Ji +4 more
semanticscholar +1 more source
Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies
Sensors, 2023 The use of wearable devices has increased substantially in recent years. This, together with the rise of telemedicine, has led to the use of these types of devices in the healthcare field. In this work, we carried out a detailed study on the use of these
Elena Escobar-Linero +4 more
doaj +1 more source
Frontiers 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
Comparison of wearable and clinical devices for experiments with multivariate physiological signals
, 2020 The development of wearable technologies enables the acquisition and quantification of physiological signals in a wide range of contexts, from personal uses to clinical and scientific research.
Bizzego, Andrea +2 more
core +1 more source
Physiological Roles of GPR10 and PrRP Signaling [PDF]
Frontiers in Endocrinology, 2013 Prolactin-releasing peptide (PrRP) was first isolated from bovine hypothalamus, and was found to act as an endogenous ligand at the G-protein-coupled receptor 10 (GPR10 or hGR3). Although originally named as it can affect the secretion of prolactin from anterior pituitary cells, the potential functions for this peptide have been greatly expanded over ...
Dodd, GT, Luckman, SM
openaire +5 more sources
Classification of Drivers' Workload Using Physiological Signals in Conditional Automation
Frontiers in Psychology, 2021 The use of automation in cars is increasing. In future vehicles, drivers will no longer be in charge of the main driving task and may be allowed to perform a secondary task.
Quentin Meteier +7 more
semanticscholar +1 more source
Complexity, 2020 Measures of predictability in physiological signals based on entropy metrics have been widely used in the application domain of medical assessment and clinical diagnosis.
Yun Lu +8 more
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Time–frequency time–space LSTM for robust classification of physiological signals
Scientific Reports, 2021 Automated analysis of physiological time series is utilized for many clinical applications in medicine and life sciences. Long short-term memory (LSTM) is a deep recurrent neural network architecture used for classification of time-series data. Here time–
T. Pham
semanticscholar +1 more source
ACM 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
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 ...
Javier Tejedor +4 more
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