The measurement and analysis of electrodermal activity (EDA) offers applications in diverse areas ranging from market research to seizure detection and to human stress analysis. Unfortunately, the analysis of EDA signals is made difficult by the superposition of numerous components that can obscure the signal information related to a user's response to a stimulus. We show how simple preprocessing followed by a novel compressed sensing based decomposition can mitigate the effects of the undesired noise components and help reveal the underlying physiological signal. The proposed framework allows for decomposition of EDA signals with provable bounds on the recovery of user responses. We test our procedure on both synthetic and real-world EDA signals from wearable sensors and demonstrate that our approach allows for more accurate recovery of user responses as compared with the existing techniques.
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http://dx.doi.org/10.1109/TBME.2016.2632523 | DOI Listing |
Iran J Basic Med Sci
January 2025
Department of Animal Nutrition and Nutritional Disorders, Faculty of Veterinary Medicine, Ataturk University, Erzurum 25240, Turkey.
Objectives: This experiment was carried out to investigate the protective effects of curcumin (CUR) on testicular damage induced by the valproic acid (VPA) administration.
Materials And Methods: Male Wistar-Albino rats (n=28, 250-300 g) were randomly divided into four groups: Control (1 ml saline, oral), VPA (500 mg/kg, IP), CUR (200 mg/kg, oral), or VPA+CUR (500 mg/kg, VPA, IP plus 200 mg/kg CUR, oral). The treatments were applied for 14 days.
Sci Rep
January 2025
College of Life and Environmental Sciences, University of Exeter, Biosciences, Exeter, EX4 4QD, UK.
The mangrove killifish, Kryptolebias marmoratus, can reproduce with self-fertilisation, offering a unique and useful genetic tool for generation of genetic mutants and quick identification of mutated genes. From an ENU-mutated mangrove killifish line R228, we have isolated a novel mutant line, no-fin-ray/nfr in which homozygous mutant of adult fish fin ray development is largely reduced. Illumina RNAseq with 3 embryos each from mutants, siblings and the parental WT strain Hon9 (only 9 embryos as total) identified a mutation in the edaradd in a highly conserved C-terminal death domain.
View Article and Find Full Text PDFAppl Psychophysiol Biofeedback
January 2025
Department of Biostatistics and Medical Informatics, Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey.
Stress responses in real-world settings are less studied compared to controlled laboratory environments, limiting our understanding of their impact on cognitive performance. This study investigates the relationship between physiological stress signals and academic performance using an open-access dataset of 10 students assessed across three exam sessions (Midterm 1, Midterm 2, and Final Exam). Physiological measures, including electrodermal activity (EDA), heart rate (HR), and skin surface temperature (TEMP), along with exam grades, were analyzed using traditional hypothesis testing, bootstrap method, correlation analysis, and regression tree modeling.
View Article and Find Full Text PDFAdv Exp Med Biol
January 2025
Institute of Biotechnology, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Helsinki, Finland.
Embryonic mammary gland development unfolds with the specification of bilateral mammary lines, thereafter progressing through placode, bud, and sprout stages before branching morphogenesis. Extensive epithelial-mesenchymal interactions guide morphogenesis from embryogenesis to adulthood. Two distinct mesenchymal tissues are involved, the primary mammary mesenchyme that harbors mammary inductive capacity, and the secondary mesenchyme, the precursor of the adult stroma.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
The field of emotion recognition from physiological signals is a growing area of research with significant implications for both mental health monitoring and human-computer interaction. This study introduces a novel approach to detecting emotional states based on fractal analysis of electrodermal activity (EDA) signals. We employed detrended fluctuation analysis (DFA), Hurst exponent estimation, and wavelet entropy calculation to extract fractal features from EDA signals obtained from the CASE dataset, which contains physiological recordings and continuous emotion annotations from 30 participants.
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