title: Removing movement artifacts from equine ECG recordings acquired with textile electrodes.
abstract: This study reports on the implementation of a novel system to detect and reduce movement artifact (MA) contribution in electrocardiogram (ECG) recordings acquired from horses in free movement conditions. The system comprises both integrated textile electrodes for ECG acquisition and one triaxial accelerometer for movement monitoring. Here, ECG and physical activity are continuously acquired from seven horses through the wearable system and a model that integrates cardiovascular and movement information to estimate the MA contribution is implemented. Moreover, in this study we propose a new algorithm where the Stationary Wavelet Transform (SWT) decomposition algorithm is employed to identify and remove movement artifacts from ECG recodigns. Achieved results showed a reduction of MA percentage greater than 40% between before- and after- the application of the proposed algorithm to seven hours of recordings.
authors.forename: Antonio
authors.initials: A
authors.lastname: Lanata
authors.forename: Andrea
authors.initials: A
authors.lastname: Guidi
authors.forename: Paolo
authors.initials: P
authors.lastname: Baragli
authors.forename: Rita
authors.initials: R
authors.lastname: Paradiso
authors.forename: Gaetano
authors.initials: G
authors.lastname: Valenza
authors.forename: Enzo Pasquale
authors.initials: EP
authors.lastname: Scilingo
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D004562:Electrocardiography / Q000379:methods*; D004566:Electrodes; D006736:Horses; D009068:Movement; D009119:Muscle Contraction; D012815:Signal Processing, Computer-Assisted; D013784:Textiles; D058067:Wavelet Analysis