This work was supported by the European Regional Development Fund (FEDER), and FSE through the COMPETE2020 programme and by the Portuguese Government through FCT—Foundation for Science and Technology, in the scope of the projects UID/CEC/00127/2013 (IEETA/UA), CMUP-ERI/FIA/0031/2013 (VR2Market), PTDC/EEISII/ 6608/2014, and UID/IC/4255/2013 (CINTESIS, supported by FEDER through the operation POCI-01-0145-FEDER- 007746 funded by the Programa Operacional Competitividade e Internacionalizao COMPETE2020 and by National Funds through FCT—Fundao para a Ciłncia). SB acknowledges the Post-doc Grant from FCT, ref. SFRH/BPD/92342/2013. JF acknowledges the Doctoral Grant from FCT, ref. SFRH/BD/ 85376/2012.

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This work was supported by the European Regional Development Fund (FEDER), and FSE through the COMPETE2020 programme and by the Portuguese Government through FCT—Foundation for Science and Technology, in the scope of the projects UID/CEC/00127/2013 (IEETA/UA), CMUP-ERI/FIA/0031/2013 (VR2Market), PTDC/EEISII/ 6608/2014, and UID/IC/4255/2013 (CINTESIS, supported by FEDER through the operation POCI-01-0145-FEDER- 007746 funded by the Programa Operacional Competitividade e Internacionalizao COMPETE2020 and by National Funds through FCT—Fundao para a Ciłncia). SB acknowledges the Post-doc Grant from FCT, ref. SFRH/BPD/92342/2013. JF acknowledges the Doctoral Grant from FCT, ref. SFRH/BD/ 85376/2012.

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12018Biometric and Emotion Identification: An ECG Compression Based MethodBrás, Susana; Ferreira, Jacqueline H. T. ; Soares, Sandra C. ; Pinho, Armando J.articleopenAccess