Abstract: Blood pressure signals are reconstructed from PhotoPlethysmoGraphy (PPG) signals by: receiving PPG signals including systolic, diastolic and dicrotic phases; and determining first and second derivatives of the PPG signals and: a first set of values indicative of lengths of the signal paths of the PPG signal, the first derivative and the second derivative thereof in the systolic, diastolic and dicrotic phases; a second set of values indicative of relative durations of the PPG signal and the first and second derivatives thereof in the systolic, diastolic and dicrotic phases; and a third set of values indicative of the time separation of peaks and/or valleys in subsequent waveforms of the PPG signal. Reconstruction also includes applying artificial neural network processing to the first, second and third set of values. The artificial neural network processing includes artificial neural network training as a function of blood pressure signals to produce reconstructed blood pressure signals.

Abstract: A method of processing electrophysiological signals includes: receiving, over a limited time duration, sample electrocardiography (ECG) signals indicative of heart pulsatile activity occurring with a variable heart rate, wherein receiving the sample ECG signals is discontinued at an expiry of the limited time duration; receiving photoplethysmography (PPG) signals indicative of the heart pulsatile activity; determining a correlation between the sample ECG signals and the PPG signals; determining reconstructed ECG signals from the PPG signals as a function of the correlation between the sample ECG signals and the PPG signals; and estimating a heart rate variability of the variable heart rate as a function of the reconstructed ECG signals.

Abstract: In an embodiment, PhotoPlethysmoGraphy (PPG) signals are processed by detecting peaks and valleys in the PPG signal, segmenting the PPG signal to provide a time series of PPG waveforms located between two subsequent valleys in the PPG signal, applying to the waveforms in the time series pattern recognition with respect to a reference PPG waveform pattern produced based on a mathematical model of the PPG signal by assigning to the waveforms in the time series a recognition score. A resulting PPG signal is produced by retaining the waveforms in the time series having an assigned recognition score reaching a recognition threshold, and discarding the waveforms in the time series having an assigned recognition score failing to reach the recognition threshold.

Abstract: A method can be used for analyzing digital images of skin lesions. The images include pixels distributed over a lesion area. Sets of values including a first discrimination value indicative of a weighted average of the image pixels with weighing at the border of the lesion, a second discrimination value indicative of skewness and kurtosis of the distribution of the image pixels, a third discrimination value indicative of the ratio of symmetry and gray-level power of the distribution of the image pixels and calculated. A total additive score of the values in the sets of values is provided and compared with a total score threshold. The first, second and third discrimination values are compared with respective first, second and third discrimination threshold values. An output classification for the image analyzed is provided as a function of the results of the comparing.

Abstract: In an embodiment, a first individual image and a second individual image constituting an encoded stereoscopic image, for example in JPEG format with respective levels of encoding quality and united in a multiple-image file, for example of the Multiple-Picture Object (MPO) type. The second level of encoding quality is lower than the first level of encoding quality. During decoding, the first individual image encoded with a first level of encoding quality and the second individual image encoded with a second level of encoding quality lower than the first level of encoding quality are extracted from the multiple-image file, then using information of the first extracted individual image for enhancing the second extracted individual image.

Abstract: In an embodiment, a first individual image and a second individual image constituting an encoded stereoscopic image, for example in JPEG format with respective levels of encoding quality and united in a multiple-image file, for example of the Multiple-Picture Object (MPO) type. The second level of encoding quality is lower than the first level of encoding quality. During decoding, the first individual image encoded with a first level of encoding quality and the second individual image encoded with a second level of encoding quality lower than the first level of encoding quality are extracted from the multiple-image file, then using information of the first extracted individual image for enhancing the second extracted individual image.