Your browser doesn't support javascript.
loading
Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning.
Almadhor, Ahmad; Sampedro, Gabriel Avelino; Abisado, Mideth; Abbas, Sidra; Kim, Ye-Jin; Khan, Muhammad Attique; Baili, Jamel; Cha, Jae-Hyuk.
Affiliation
  • Almadhor A; Department of Computer Engineering and Networks, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi Arabia.
  • Sampedro GA; Faculty of Information and Communication Studies, University of the Philippines Open University, Los Baños 4031, Philippines.
  • Abisado M; Center for Computational Imaging and Visual Innovations, De La Salle University, 2401 Taft Ave., Malate, Manila 1004, Philippines.
  • Abbas S; College of Computing and Information Technologies, National University, Manila 1008, Philippines.
  • Kim YJ; Department of Computer Science, COMSATS University, Islamabad 45550, Pakistan.
  • Khan MA; Department of Computer Science, Hanyang University, Seoul 04763, Republic of Korea.
  • Baili J; Department of Computer Science, HITEC University, Taxila 47080, Pakistan.
  • Cha JH; College of Computer Science, King Khalid University, Abha 61413, Saudi Arabia.
Sensors (Basel) ; 23(8)2023 Apr 14.
Article in En | MEDLINE | ID: mdl-37112323

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wrist / Artificial Intelligence Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Aspects: Patient_preference Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wrist / Artificial Intelligence Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Aspects: Patient_preference Limits: Humans Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article