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Predicting depressed patients with suicidal ideation from ECG recordings.
Khandoker, A H; Luthra, V; Abouallaban, Y; Saha, S; Ahmed, K I; Mostafa, R; Chowdhury, N; Jelinek, H F.
Affiliation
  • Khandoker AH; Department of Biomedical Engineering, Khalifa University, PO Box 127788, Abu Dhabi, UAE. ahsank@ieee.org.
  • Luthra V; Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia. ahsank@ieee.org.
  • Abouallaban Y; American Center for Psychiatry and Neurology, Abu Dhabi, UAE.
  • Saha S; American Center for Psychiatry and Neurology, Abu Dhabi, UAE.
  • Ahmed KI; United International University, Dhaka, Bangladesh.
  • Mostafa R; United International University, Dhaka, Bangladesh.
  • Chowdhury N; United International University, Dhaka, Bangladesh.
  • Jelinek HF; Department of Biomedical Engineering, Khalifa University, PO Box 127788, Abu Dhabi, UAE.
Med Biol Eng Comput ; 55(5): 793-805, 2017 May.
Article in En | MEDLINE | ID: mdl-27538398
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Depressive Disorder, Major Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male Language: En Journal: Med Biol Eng Comput Year: 2017 Document type: Article Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Depressive Disorder, Major Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male Language: En Journal: Med Biol Eng Comput Year: 2017 Document type: Article Country of publication: Estados Unidos