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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 34042726)

  • 21. [The measurement of electrodermal activity].
    Grapperon J; Pignol AC; Vion-Dury J
    Encephale; 2012 Apr; 38(2):149-55. PubMed ID: 22516273
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Emotion Recognition Based on Multiple Physiological Signals].
    Chen S; Zhang L; Jiang F; Chen W; Miao J; Chen H
    Zhongguo Yi Liao Qi Xie Za Zhi; 2020 Apr; 44(4):283-287. PubMed ID: 32762198
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Sensitive Physiological Indices of Pain Based on Differential Characteristics of Electrodermal Activity.
    Kong Y; Posada-Quintero HF; Chon KH
    IEEE Trans Biomed Eng; 2021 Oct; 68(10):3122-3130. PubMed ID: 33705307
    [TBL] [Abstract][Full Text] [Related]  

  • 24. EDA-Graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection.
    Mercado-Diaz LR; Veeranki YR; Marmolejo-Ramos F; Posada-Quintero HF
    IEEE J Biomed Health Inform; 2024 Aug; 28(8):4599-4612. PubMed ID: 38801681
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Emotion Recognition in EEG Signals Using Decision Fusion Based Electrode Selection.
    Kumar H; Ganapathy N; Puthankattil SD; Swaminathan R
    Stud Health Technol Inform; 2021 May; 281():153-157. PubMed ID: 34042724
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity.
    Sánchez-Reolid R; Martínez-Rodrigo A; López MT; Fernández-Caballero A
    Int J Neural Syst; 2020 Jul; 30(7):2050031. PubMed ID: 32507059
    [TBL] [Abstract][Full Text] [Related]  

  • 27. EEG-Based Emotion Recognition Using Quadratic Time-Frequency Distribution.
    Alazrai R; Homoud R; Alwanni H; Daoud MI
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30127311
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study.
    Yuvaraj R; Murugappan M; Ibrahim NM; Omar MI; Sundaraj K; Mohamad K; Palaniappan R; Satiyan M
    J Integr Neurosci; 2014 Mar; 13(1):89-120. PubMed ID: 24738541
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Electrodermal responses: what happens in the brain.
    Critchley HD
    Neuroscientist; 2002 Apr; 8(2):132-42. PubMed ID: 11954558
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals.
    Khezri M; Firoozabadi M; Sharafat AR
    Comput Methods Programs Biomed; 2015 Nov; 122(2):149-64. PubMed ID: 26253158
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Electrodermal Activity Sensor for Classification of Calm/Distress Condition.
    Zangróniz R; Martínez-Rodrigo A; Pastor JM; López MT; Fernández-Caballero A
    Sensors (Basel); 2017 Oct; 17(10):. PubMed ID: 29023403
    [TBL] [Abstract][Full Text] [Related]  

  • 32. ComEDA: A new tool for stress assessment based on electrodermal activity.
    Nardelli M; Greco A; Sebastiani L; Scilingo EP
    Comput Biol Med; 2022 Nov; 150():106144. PubMed ID: 36215850
    [TBL] [Abstract][Full Text] [Related]  

  • 33. The emotion recognition system based on autoregressive model and sequential forward feature selection of electroencephalogram signals.
    Hatamikia S; Maghooli K; Nasrabadi AM
    J Med Signals Sens; 2014 Jul; 4(3):194-201. PubMed ID: 25298928
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Are valence and arousal separable in emotional experience?
    Kron A; Pilkiw M; Banaei J; Goldstein A; Anderson AK
    Emotion; 2015 Feb; 15(1):35-44. PubMed ID: 25664950
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Zooming into the Complex Dynamics of Electrodermal Activity Recorded during Emotional Stimuli: A Multiscale Approach.
    Lavezzo L; Gargano A; Scilingo EP; Nardelli M
    Bioengineering (Basel); 2024 May; 11(6):. PubMed ID: 38927756
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment.
    Torres-Valencia CA; Álvarez MA; Orozco-Gutiérrez AA
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():970-3. PubMed ID: 25570122
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Statistical algorithms for emotion classification via functional connectivity.
    Jahromy FZ; Bajoulvand A; Daliri MR
    J Integr Neurosci; 2019 Sep; 18(3):293-297. PubMed ID: 31601078
    [TBL] [Abstract][Full Text] [Related]  

  • 38. What does electrodermal activity tell us about prognosis in the schizophrenia spectrum?
    Dawson ME; Schell AM
    Schizophr Res; 2002 Mar; 54(1-2):87-93. PubMed ID: 11853982
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automatic detection of major depressive disorder using electrodermal activity.
    Kim AY; Jang EH; Kim S; Choi KW; Jeon HJ; Yu HY; Byun S
    Sci Rep; 2018 Nov; 8(1):17030. PubMed ID: 30451895
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Electrodermal activity patient simulator.
    Geršak G; Drnovšek J
    PLoS One; 2020; 15(2):e0228949. PubMed ID: 32023317
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.