Check Your Biosignals Here: A new dataset for off-the-person ECG biometrics

Abstract

c o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e 1 1 3 ( 2 0 1 4 ) [503][504][505][506][507][508][509][510][511][512][513][514] j o u r n a l h o m e p a g e : w w w . i n t l . e l s e v i e r h e a l t h . c o m / j o u r n a l s / c m p b The Check Your Biosignals Here initiative (CYBHi) was developed as a way of creating a dataset and consistently repeatable acquisition framework, to further extend research in electrocardiographic (ECG) biometrics. In particular, our work targets the novel trend towards off-the-person data acquisition, which opens a broad new set of challenges and opportunities both for research and industry. While datasets with ECG signals collected using medical grade equipment at the chest can be easily found, for off-the-person ECG data the solution is generally for each team to collect their own corpus at considerable expense of resources.In this paper we describe the context, experimental considerations, methods, and preliminary findings of two public datasets created by our team, one for short-term and another for long-term assessment, with ECG data collected at the hand palms and fingers.

Finger ECG De-noising Based on GA-wavelet Shrinkage

“…Hard threshold function: (6) where sign(·) is the symbolic function; The wavelet coefficient is modified by 0 if | | , j k W is less than j  , otherwise the wavelet coefficient is processed by threshold value.…”

“…Herein the experimental data of finger based ECG come from Check Your Biosignal Here initiative(CYBHi) database [5], Surface ECG data [6] and Finger ECG data that collected by ourselves. The sampling of each database is 1000Hz.…”

Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction

“…However, literature review (e.g. [21,29,30]) and preliminary exploration of data suggested a higher sampling frequency to capture ECG features with sufficient detail for subject identification. Signals used for this study were from the Physionet [31] database Fantasia [32].…”

“…Recordings were collected using the free software CYGWIN (https://www.cygwin.com). It is worth to mention that another database [30] has recently become public, however ECG recordings are of short duration, thus not suitable for the type of investigation addressed in this work.…”

“…First, the use of ECG arises privacy issues: indeed, ECG signals convey information about subjects' cardiac health, which is considered as confidential. Second, although a single lead ECG can be acquired easily and effectively using only two electrodes [8,9], a typical electrode has to firmly contact the body surface, making this biometric particularly critical with respect to the acquisition procedure. Third, specific conditions may alter the characteristics of the waveform.…”