A5008994816- Non-Invasive Vital Sign Monitoring
- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Hemodynamic Monitoring and Therapy
- Context-Aware Activity Recognition Systems
- Tactile and Sensory Interactions
- Cardiovascular Health and Disease Prevention
- Neonatal Respiratory Health Research
- Radiation Detection and Scintillator Technologies
- Gaze Tracking and Assistive Technology
- Advanced Sensor Technologies Research
- Wireless Body Area Networks
- Muscle activation and electromyography studies
- Laser Applications in Dentistry and Medicine
- EEG and Brain-Computer Interfaces
- Semiconductor Lasers and Optical Devices
- Thermography and Photoacoustic Techniques
- Cardiac Valve Diseases and Treatments
- Medical Imaging Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
- Nuclear Physics and Applications
- Advanced Measurement and Metrology Techniques
- Interactive and Immersive Displays
- Dental materials and restorations
- Advanced Fiber Optic Sensors
Marche Polytechnic University
2016-2025
Institute of Oncology Research
2019-2024
Università della Svizzera italiana
2019-2022
Engineering (Italy)
2022
Institute of Electrical and Electronics Engineers
2021
University of Catania
2021
Crystal Research (United States)
2019
Washington University in St. Louis
2016
Ospedali Riuniti di Ancona
1998-2005
University of Twente
2001-2002
A review of recent experimental and theoretical results concerning laser diode self-mixing velocimetry is presented, showing that this technique can be deployed to measure velocity vibration solid targets with an extremely simple optical setup. This reduces alignment problems achieves comparable those obtained by the conventional Doppler (LDV) approach. It demonstrated signal processed recover target applying same analysis method used for LDV. An optimal processing then proposed good...
Many conventional medical monitoring devices, while not technically invasive, are nevertheless obtrusive insofar as they require contact with the patient. This obtrusiveness sometimes poses problems in daily clinical practice. The need for electrodes or transducers is particularly relevant case of patients recovering intensive care units where continuous required, turn requiring direct transducer prolonged periods. Among many physiological parameters commonly acquired, respiratory and...
Nowadays, the use of wearable devices is spreading in different fields application, such as healthcare, digital health, and sports monitoring. In sport applications, present trend to continuously monitor athletes' physiological parameters during training or competitions maximize performance support coaches. This paper aims evaluate performances heart rate assessment, terms accuracy precision, both wrist-worn chest-strap commercial used swimming activity, considering a test population 10...
At present there is a clear need for non-contact monitoring of the physiological signs patients. The system proposed in this paper aims to measure heart rate neonatal infants without any direct contact with patient. solution based on use standard, low-cost and commercially available digital webcamera by which it has been possible observe defined portions patient face; sequence such images then used, specifically developed algorithm (based Indipendent Component Analysis), extract Data...
The continuous monitoring of patients recovered in intensive care units is a mandatory tasks for clinicians order to check conditions and effects therapies. Among the many signals quantities observable, ones related heart particularly lung's activity are primary interest. Today majority measurement methods used assessment respiration rate based on invasive (spriometry) which often included into mechanical ventilator patients, need assisted breathing, attached. In this paper an optical,...
Heart Rate (HR) and Respiration (RR) are considered among the most useful biomedical signals to be observed from a subject in order evaluate his/her health conditions. HR RR routinely monitored patients recovered hospitals eventual variations of these quantities need measured reported. Today with standard methods: electrocardiography (ECG) spirometry (SP). Both this methods contact require presence expert personnel correctly operated. Consequently, their use is limited or ambulatory...
Smart homes play a strategic role for improving life quality of people, enabling to monitor people at home with numerous intelligent devices. Sensors can be installed provide continuous assistance without limiting the resident’s daily routine, giving her/him greater comfort, well-being and safety. This paper is based on development domestic technological solutions improve citizens users environment, features extracted from collected data. The proposed smart sensing architecture an integrated...
The use of electromagnetic (EM) fields for obstacle detection to aid mobility visually impaired people is presented in this paper. method proposed based on the launch EM pulses and measurement reflected signal which explores a region front user about 3 m. A laboratory system set up, its performances (detecting presence distance obstacles) are investigated, measurements compared with data measured by an ultrasonic system. Results show that, system, all obstacles tested (up minimum size cm...
Abstract Copanlisib is a pan–class I phosphoinositide 3-kinase (PI3K) inhibitor with preferred activity toward PI3Kα and PI3Kδ. Despite the clear overall clinical benefit, number of patients achieving complete remissions single agent relatively low, problem shared by vast majority targeted agents. Here, we searched for novel copanlisib-based combinations. was tested as agent, in combination an additional 17 drugs 26 cell lines derived from mantle lymphoma (MCL), marginal zone (MZL), T-cell...
This paper proposes a specific domotic sensor network to measure the well-being of elderly people in private home environments through Machine Learning (ML) algorithms trained with daily surveys. The tests have been conducted 5 apartments lived by 8 older where non-obtrusive is installed. Two ML are compared, Random Forest (RF) and Regression Tree (RT), such that verify whether users' encoded behavioural patterns obtained from data. These data used compared three reference indices survey:...
In the field of automatic recognition and classification Activities Daily Living (ADLs), a paramount role to determine accuracy is played by sensor technologies, as algorithms' performance highly affected nature quality collected measurement data. This work aims investigate influence wearable device characteristics uncertainty on accuracy. For this study, two wearables devices are considered: top-quality smartwatch (Empatica E4) low-cost Arduino-based wristband prototype. These have been...
Wearable devices are rapidly spreading in many different application fields and with diverse measurement accuracy targets. However, data on their metrological characterization very often missing or obtained non-standardized methods, hence resulting barely comparable results. The aim of this review paper is to discuss the existing methods for wearable sensors exploited physiological signals, highlighting room research still available field. Furthermore, as a case study, authors report...
E-Health services can take advantage of the technological achievements in area Internet Things (IoT), and cost reduction increasing user-friendliness health monitoring devices. Homes equipped with environmental sensors, physiological parameters devices, home automation could become "hardware" an "operating system" for application developers service providers. The system would expose web through a unique cloud infrastructure users' data collection storage, administration billing, healthcare...
This paper summarises a comprehensive Monte Carlo simulation study for precision resonance energy scan measurements. Apart from the proof of principle natural width and line shape measurements very narrow resonances with PANDA, achievable sensitivities are quantified concrete example charmonium-like X(3872) state discussed to be exotic, larger parameter space various assumed signal cross-sections, input widths luminosity combinations. PANDA is only experiment that will able perform scans...
Nowadays, there are plenty of sensing devices that enable the measurement physiological, environmental, and behavioral parameters people 24 hours a day, seven days week provide huge quantities different data. Data signals coming from devices, installed in indoor or outdoor environments often worn by users, generate heterogeneous complex structured datasets, most time not uniformly structured. The artificial intelligence (AI) algorithms applied to these sets data have demonstrated...
Changes in microcirculation of axillary lymph nodes (ALNs) may indicate metastasis. Reliable noninvasive imaging technique to quantify such variations is lacking. We aim develop and investigate a contrast-free ultrasound quantitative microvasculature for detection metastatic ALN vivo.The proposed ultrasound-based technique, high-definition (HDMI) provides superb images tumor at sub-millimeter size scales enables analysis microvessels structures. evaluated the new HDMI on 68 breast cancer...
Antibody-drug conjugates (ADC) represent one of the most successful therapeutic approaches introduced into clinical practice in last few years. Loncastuximab tesirine (ADCT-402) is a CD19-targeting ADC which antibody conjugated through protease cleavable dipeptide linker to pyrrolobenzodiazepine dimer warhead (SG3199). Based on results phase II study, loncastuximab was recently approved for adult patients with relapsed/refractory large B-cell lymphoma. We assessed activity using vitro and...