Background: The detection of T-wave end points on electrocardiogram (ECG) is a basic procedure for ECG processing and analysis. Several methods have been proposed and tested, featuring high accuracy and percentages of correct detection. Nevertheless, their performance in noisy conditions remains an open problem. Methods: A new approach and algorithm for T-wave end location based on the computation of Trapezium's areas is proposed and validated (in terms of accuracy and repeatability), using signals from the Physionet QT Database. The performance of the proposed algorithm in noisy conditions has been tested and compared with one of the most used approaches for estimating the T-wave end point: the method based on the threshold on the first derivative. Results: The results indicated that the proposed approach based on Trapezium's areas outperformed the baseline method with respect to accuracy and repeatability. Also, the proposed method is more robust to wideband noise. Conclusions: The trapezium-based approach has a good performance in noisy conditions and does not rely on any empirical threshold. It is very adequate for use in scenarios where the levels of broadband noise are significant.

Several studies have demonstrated that irregularities in eye movements represent an important indicator to diagnose diseases affecting the central nervous system. In fact, abnormal horizontal and vertical eye movements play an important role in measuring the progress of neurodegenerative diseases. Electro-oculography (EOG) is a widespread technique that monitors the horizontal and vertical eye movements in response to a visual stimulation pattern. These visual stimuli require stimulus-response synchronization, low latency, and a real-time response. In this work, a novel system based on a Field-Programmable Gate Array (FPGA) is designed to address hundreds of LEDs for the generation of multiple visual stimulus signals and for EOG acquisition. Our evaluation demonstrates that the proposed system enhances the accuracy of the signals generated, showing excellent results in the stimulus-response synchronism and quality of the stimuli waveform.