Computers in Cardiology 1995. Hamilton P, et al.
Data Availability: Unlike humans, horses never stay still, and MAs are normally present during ECG recording, corrupting a large part of the significant signal [ 53 ]. Use of this web site signifies your agreement to the terms and conditions. Canadian Conference on.
Comments and issues can also be raised on PhysioNet's GitHub page. Further studies evidenced the importance of acquiring noise, movement, as well as skin-electrode impedance. Velazquez R.
In this latter case, an adaptive recurrent filter structure was introduced where the primary input was the ECG signal affected by MAs, while the reference input was an impulse train, whose impulses were coincident with the onsets of QRS complexes. Equine sports medicine and surgery: Fig 2 shows a concise scheme of the method. Nevertheless, the achieved results are promising in view of applying advanced processing techniques also to ECG equine signals otherwise not applicable due to the relevant presence of movement artifacts.
Need Help? The first approach is based on reducing skin-electrode discontinuity.
These motion signal segments can introduce MAs. Specifically, ECG and physical activity are continuously acquired from seven horses through a wearable system. Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals.
All raw data can be downloaded as supporting information in S1 Supporting Information. The idea behind SWT is the recursive application of a series of high- and low-pass filters to the data to produce two sequences: Feasibility study and design of a wearable system-on-a-chip pulse radar for contactless cardiopulmonary monitoring.