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 *

199 related articles for article (PubMed ID: 30440413)

  • 1. Automated Pain Assessment using Electrodermal Activity Data and Machine Learning.
    Susam BT; Akcakaya M; Nezamfar H; Diaz D; Xu X; de Sa VR; Craig KD; Huang JS; Goodwin MS
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():372-375. PubMed ID: 30440413
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning.
    Susam B; Riek N; Akcakaya M; Xu X; de Sa V; Nezamfar H; Diaz D; Craig K; Goodwin M; Huang J
    IEEE Trans Biomed Eng; 2022 Jan; 69(1):422-431. PubMed ID: 34242161
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study.
    Aqajari SAH; Cao R; Kasaeyan Naeini E; Calderon MD; Zheng K; Dutt N; Liljeberg P; Salanterä S; Nelson AM; Rahmani AM
    JMIR Mhealth Uhealth; 2021 May; 9(5):e25258. PubMed ID: 33949957
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.
    Posada-Quintero HF; Kong Y; Chon KH
    Am J Physiol Regul Integr Comp Physiol; 2021 Aug; 321(2):R186-R196. PubMed ID: 34133246
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Automatic identification of artifacts in electrodermal activity data.
    Taylor S; Jaques N; Chen W; Fedor S; Sano A; Picard R
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():1934-7. PubMed ID: 26736662
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Exploration of physiological sensors, features, and machine learning models for pain intensity estimation.
    Pouromran F; Radhakrishnan S; Kamarthi S
    PLoS One; 2021; 16(7):e0254108. PubMed ID: 34242325
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiating between stress- and EPT-induced electrodermal activity during dental examination.
    Kong Y; Posada-Quintero HF; Tran H; Talati A; Acquista TJ; Chen IP; Chon KH
    Comput Biol Med; 2023 Mar; 155():106695. PubMed ID: 36805230
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Compressed Sensing Based Decomposition of Electrodermal Activity Signals.
    Jain S; Oswal U; Xu KS; Eriksson B; Haupt J
    IEEE Trans Biomed Eng; 2017 Sep; 64(9):2142-2151. PubMed ID: 27893381
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity.
    Pinzon-Arenas JO; Kong Y; Chon KH; Posada-Quintero HF
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4250-4260. PubMed ID: 37399159
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multimodal wrist-worn devices for seizure detection and advancing research: Focus on the Empatica wristbands.
    Regalia G; Onorati F; Lai M; Caborni C; Picard RW
    Epilepsy Res; 2019 Jul; 153():79-82. PubMed ID: 30846346
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pain Detection using a Smartphone in Real Time.
    Kong Y; Posada-Quintero HF; Chon KH
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():4526-4529. PubMed ID: 33019000
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An unsupervised automated paradigm for artifact removal from electrodermal activity in an uncontrolled clinical setting.
    Subramanian S; Tseng B; Barbieri R; Brown EN
    Physiol Meas; 2022 Nov; 43(11):. PubMed ID: 36113446
    [No Abstract]   [Full Text] [Related]  

  • 17. Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study.
    Winter M; Pryss R; Probst T; Reichert M
    Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32823891
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.
    Sánchez-Reolid R; López de la Rosa F; Sánchez-Reolid D; López MT; Fernández-Caballero A
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433482
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal.
    Pouromran F; Lin Y; Kamarthi S
    Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365785
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.