In this chapter we will detail our proposed electrocardiogram (ECG) denoising approach
based on the application of 1-D double-density complex DWT denoising technique in the …

The analysis of long signals is relevant in many fields, as biomedical signal analysis. In this
paper, a revision of the Empirical Mode Decomposition (EMD), from the application point of …

The ECG filtering problem is a widely explored research topic. In this paper we propose a
novel methodology taking into account some “a priori” information on the signal components …

Electrocardiogram (ECG) signal is an essential feature of human health monitoring and
detection. Electromyogram (EMG) artifacts will be involved as the noise distortion and make …

Hilbert Huang Transform (HHT), which is based on EMD (Empirical Mode Decomposition)
and Hilbert transform method, is a new signal analysis method. It suits for analyzing the non …

In this paper, a prototype of wearable and wireless electrocardiography (ECG) monitoring
system is developed and implemented on DSP and PDA. We present a real-time extended …

Originally, a rolling bearing, as a key part in rotating machinery, is a cyclic symmetric
structure. When a fault occurs, it disrupts the symmetry and influences the normal operation …

Wearable sensors are widely adopted for the provision of healthcare services. Unfortunately
the noise always degrades the quality of the acquired signals. In this paper, we propose a …

Turbocharger turbine blades suffer from periodic vibration and flow induced excitation. The
blade vibration signal is a typical non-stationary and sometimes nonlinear signal that is often …