Angela Agostinelli

TL;DR: This paper presents a validation study for a contactless HR estimation method exploiting RGB (Red, Green, Blue) data from a Microsoft Kinect v2 device that can achieve performance comparable to classical approaches exploiting wearable systems, under specific test conditions.

TL;DR: This study aims to provide a review of the state of the art of fECG, and includes a description of the parameters useful for fetus clinical evaluation; of the f ECG recording procedures; and of the techniques to extract the fECGs signal from the abdominal recordings.

TL;DR: This study proposes the Segmented-Beat Modulation Method (SBMM) as a new template-based filtering procedure able to reproduce ECG variability and is more robust to noise than STM.

TL;DR: The new segmented-beat modulation method (SBMM) for extracting a clean ECG from a noisy recording is introduced and results clearly demonstrate the SBMM ability to provide a clean, and thus clinically useful, ECG tracing from an noisy recording.

TL;DR: In indirect fetal electrocardiographic applications, improved fetal Pan-Tompkins’ algorithm is to be preferred over the standard, since it provides higher R-peak detection accuracy for heart-rate evaluations and subsequent processing.