These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
176 related articles for article (PubMed ID: 35755979)
1. Electrodermal Activity for Measuring Cognitive and Emotional Stress Level. Rahma ON; Putra AP; Rahmatillah A; Putri YSKA; Fajriaty ND; Ain K; Chai R J Med Signals Sens; 2022; 12(2):155-162. PubMed ID: 35755979 [TBL] [Abstract][Full Text] [Related]
2. Comparative Analysis of Electrodermal Activity Decomposition Methods in Emotion Detection Using Machine Learning. Sriram Kumar P ; Govarthan PK; Ganapathy N; Agastinose Ronickom JF Stud Health Technol Inform; 2023 May; 302():73-77. PubMed ID: 37203612 [TBL] [Abstract][Full Text] [Related]
3. Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis. Veeranki YR; Ganapathy N; Swaminathan R Stud Health Technol Inform; 2022 May; 294():941-942. PubMed ID: 35612249 [TBL] [Abstract][Full Text] [Related]
4. Non-Parametric Classifiers Based Emotion Classification Using Electrodermal Activity and Modified Hjorth Features. Veeranki YR; Ganapathy N; Swaminathan R Stud Health Technol Inform; 2021 May; 281():163-167. PubMed ID: 34042726 [TBL] [Abstract][Full Text] [Related]
5. Analysis of sympathetic responses to cognitive stress and pain through skin sympathetic nerve activity and electrodermal activity. Baghestani F; Kong Y; D'Angelo W; Chon KH Comput Biol Med; 2024 Mar; 170():108070. PubMed ID: 38330822 [TBL] [Abstract][Full Text] [Related]
6. Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning. P SK; Agastinose Ronickom JF Int J Neural Syst; 2024 May; 34(5):2450027. PubMed ID: 38511233 [TBL] [Abstract][Full Text] [Related]
7. Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals. Govarthan PK; Sriram Kumar P ; Ganapathy N; Agastinose Ronickom JF Stud Health Technol Inform; 2023 Jun; 305():40-43. PubMed ID: 37386952 [TBL] [Abstract][Full Text] [Related]
8. Influence of ambient temperature on tonic and phasic electrodermal activity components. Qasim MS; Bari DS; Martinsen ØG Physiol Meas; 2022 Jun; 43(6):. PubMed ID: 35609614 [No Abstract] [Full Text] [Related]
9. cvxEDA: A Convex Optimization Approach to Electrodermal Activity Processing. Greco A; Valenza G; Lanata A; Scilingo EP; Citi L IEEE Trans Biomed Eng; 2016 Apr; 63(4):797-804. PubMed ID: 26336110 [TBL] [Abstract][Full Text] [Related]
10. Female-male Differences Should be Considered in Physical Pain Quantification based on Electrodermal Activity: Preliminary Study. Kong Y; Posada-Quintero HF; Chon KH Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6941-6944. PubMed ID: 34892700 [TBL] [Abstract][Full Text] [Related]
11. Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices' Quality and Robustness against Motion Artifact. Hossain MB; Kong Y; Posada-Quintero HF; Chon KH Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590866 [TBL] [Abstract][Full Text] [Related]
13. Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine. Cho D; Ham J; Oh J; Park J; Kim S; Lee NK; Lee B Sensors (Basel); 2017 Oct; 17(10):. PubMed ID: 29064457 [TBL] [Abstract][Full Text] [Related]
14. On the deconvolution analysis of electrodermal activity in bipolar patients. Greco A; Lanatà A; Valenza G; Rota G; Vanello N; Scilingo EP Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():6691-4. PubMed ID: 23367464 [TBL] [Abstract][Full Text] [Related]
15. Muscle fatigue assessment through electrodermal activity analysis during isometric contraction. Greco A; Guidi A; Felici F; Leo A; Ricciardi E; Bianchi M; Bicchi A; Citi L; Valenza G; Scilingo EP Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():398-401. PubMed ID: 29059894 [TBL] [Abstract][Full Text] [Related]
16. Stress State Classification Based on Deep Neural Network and Electrodermal Activity Modeling. Vasile F; Vizziello A; Brondino N; Savazzi P Sensors (Basel); 2023 Feb; 23(5):. PubMed ID: 36904705 [TBL] [Abstract][Full Text] [Related]
17. A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning. Hossain MB; Posada-Quintero HF; Kong Y; McNaboe R; Chon KH Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6920-6923. PubMed ID: 34892695 [TBL] [Abstract][Full Text] [Related]
18. Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network. Ganapathy N; Veeranki YR; Kumar H; Swaminathan R J Med Syst; 2021 Mar; 45(4):49. PubMed ID: 33660087 [TBL] [Abstract][Full Text] [Related]
19. Adaptive thresholding increases sensitivity to detect changes in the rate of skin conductance responses to psychologically arousing stimuli in both laboratory and ambulatory settings. Kleckner IR; Wormwood JB; Jones RM; Culakova E; Barrett LF; Lord C; Quigley KS; Goodwin MS Int J Psychophysiol; 2024 Feb; 196():112280. PubMed ID: 38104772 [TBL] [Abstract][Full Text] [Related]
20. Validation of Spectral Indices of Electrodermal Activity with a Wearable Device. McNaboe RQ; Hossain MB; Kong Y; Chon KH; Posada-Quintero HF Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():6991-6994. PubMed ID: 34892712 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]