Piero Giorgio Fallica's research while affiliated with Consorzio Nazionale Interuniversitario per le Scienze del Mare and other places

Publications (13)

Article
Full-text available
Automatically recognizing negative emotions, such as anger or stress, and also positive ones, such as euphoria, can contribute to improving well-being. In real-life, emotion recognition is a difficult task since many of the technologies used for this purpose in both laboratory and clinic environments, such as electroencephalography (EEG) and electr...
Chapter
Smartwatches for fitness tracking are more and more popular, cheap and precise in Heart Rate measurement. In this device, the measure of the cardiac rhythm is based on the usage of such optical sensors sensitive to the capillary blood flow. About the heart rate assessment, the mentioned optical method is a robust replacement of the classic Electroc...
Article
Full-text available
Background As the human behavior is influenced by both cognition and emotion, affective computing plays a central role in human-machine interaction. Algorithms for emotions recognition are usually based on behavioral analysis or on physiological measurements (e.g., heart rate, blood pressure). Among these physiological signals, pulse wave propagati...
Conference Paper
Arterial hypertension is an indicator of cardiovascular pathologies. It causes arterial stiffness which worsens with aging. This paper presents a novel PhotoPlethysmoGraphy-ElectroCardioGraph (PPG-ECG) combo measurement system, using a dedicated signal processing methodology, which aims at the evaluation of the Pulse Wave Velocity in order to obtai...
Conference Paper
Development and in-vivo validation of a Continuous Wave (CW) functional Near Infrared Spectroscopy (fNIRS) system is presented. The system is wearable, fiber-less, multi-channel (16×16, 256 channels) and expandable and it relies on silicon photomultipliers (SiPMs) for light detection. SiPMs are inexpensive, low voltage and resilient semiconductor l...
Poster
Full-text available
The proposed pipeline herein described, is suitable to address a common and challenge issue to reconstruct Drowsiness of the driver (before and during the driving). It is well-defined the correlation between HRV(Heart Rate Variability) and drowsiness but the issue is that for computing HRV, a robust and effective ECG timeserie is needed so that it...
Chapter
Two versions of a PPG/ECC combined system have been realized and tested. In a first version a multisite system has been equipped by integrating up to 3 PPG optodes and 3 ECG leads, whereas in another setup a portable version has been carried on. Both versions have been realized by equipping the optical probes with SiPM detectors. SiPM technology is...
Poster
Full-text available
Functional Near Infrared Spectroscopy (fNIRS) is an emerging not invasive optical technique widely used for brain activity imaging. More particularly the fNIRS uses light between 650 and 950 nm to non-invasively probe the concentration and oxygenation of hemoglobin in the brain, muscle and other tissues and is used e.g. to detect changes induced by...
Conference Paper
Full-text available
The platform we propose for medical assessment of PPG/ECG signals, is basically composed with a coupled LED-silicon photomultipliers (SiPM) detector. The used silicon photomultiplier SiPM has a total area of 4.0x4.5 mm2 and 4871 square microcells with 60 μm pitch. As light source we’ve used OSRAM LT M673 LEDs in SMD package, emitting at two selecte...
Conference Paper
Full-text available
We report progresses in the development of a processing pipeline intended for photoplethysmogram (PPG) based on the use of silicon photomultipliers (SiPMs) detectors. Such probe sensors offer relevant advantages in terms of single-photon sensitivity and high internal gain for relatively low reverse bias. Along with the SiPMs detectors, an ad-hoc pr...
Article
The development of integrated sensors is a challenge currently facing biodiagnostics where multiplexing and high sensitivity detection are frequently required. This work follows an approach based on silicon photomultiplier detection, phosphorescent nanobeads and compact front-face light-source configuration. The advantages of this approach also der...

Citations

... PPG is an optical measuring method used to find variations in blood volume in the tissue's microvascular bed [25]. Moreover, since PPG is non-invasive and provides information on cardiac activity by detecting the pulse wave from the finger, earlobe, or toe, it is utilized as an alternative to ECG signals. ...
... PPG was used to predict AIx through a Deep Convolutional Neural Network (DCNN) [120]. To understand the evolution of arterial stiffness, Fung et al. [121] conducted a genome-wide association study for stiffness index (SI); 127,121 UK European participants were involved. ...
... Regarding the usage of ML in the context of physiological data, the literature is quite recent, and almost non-existent when taking into account the diseases and mental health monitoring using wearables. Nevertheless, we found usage of the generalized linear mode (GLM) [28], KNN, SVM [30,54,62,63], RF [30,32,62,63], logistic regression (LR) [30], extreme gradient boosting (XGBoost) [32], linear discriminant analysis (LDA) [32], AdaBoost [32,62], decision trees (DTs) [32,62], Bayesian networks (BNs) [62], and artificial neural networks (ANNs) [62]. ...
... All the required fNIRS electronic processing was hosted by a Zynq Field-Programmable Gate Array (FPGA)-based System on Chip (SoC), featuring an adjustable LED current and configurable SiPM gain. This architecture was already presented in [36]. The FPGA implemented a full digital lock-in in order to minimize ambient light contamination, electronic noise, and interference with the EEG. ...
... The third diagram showed a financial indicator known as the Sharpe ratio [12] that we used for monitoring financial dynamic of the trend. Future works will aim to integrate a cross-correlation method as implemented in [14] as well as getting the grid-scheme dynamically regulated through a common financial indicator such as the Sharpe ratio [15]. Moreover, we are investigating about the replacement of the used SCG regression neural network with a more efficient deeper LSTMs framework combined with ad-hoc hand-crafted signal features as some recent studies confirmed their capability on financial time-series forecasting. ...
... In particular, Single Photon Avalanche photodiodes (SPAD) [12] and Silicon PhotoMultipliers (SiPM) [13] have shown promising results in terms of photon detection efficiency, level of dark rate, timing response and single photoelectron resolution. Their performances are promising for low photon rate applications [14], they have been explored for high sensitivity protein detection in biosensing [15], they have shown good image quality in PET application [16,17] and are potentially useful to overcome the low photon count issue in CLI imaging, reducing acquisition time and improving image quality. ...