<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>ecg_biometric</dcterms:title><dcterms:identifier>https://doi.org/10.34820/FK2/BYSOCE</dcterms:identifier><dcterms:creator>HADIYOSO, SUGONDO</dcterms:creator><dcterms:publisher>Telkom University Dataverse</dcterms:publisher><dcterms:issued>2022-04-01</dcterms:issued><dcterms:modified>2022-04-01T09:56:27Z</dcterms:modified><dcterms:description>This dataset is ecg signal for biometric simulation. ECG signal was recorded using one lead ecg machine with sampling freq. 100Hz from 11 person. Data format .xlsx, separate by sheet every individual's ecg. To use the dataset please cite: 1. ECG based person authentication using empirical mode decomposition and discriminant analysis 2. One-Lead Electrocardiogram for Biometric Authentication using Time Series Analysis and Support Vector Machine 3. BIOMETRIC SYSTEMS BASED ON ECG USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION AND VARIATIONAL MODE DECOMPOSITION Thank you</dcterms:description><dcterms:subject>Engineering</dcterms:subject><dcterms:contributor>HADIYOSO, SUGONDO</dcterms:contributor><dcterms:dateSubmitted>2022-04-01</dcterms:dateSubmitted><dcterms:license>CC0</dcterms:license><dcterms:rights>CC0 Waiver</dcterms:rights></metadata>