A5051664450- Non-Invasive Vital Sign Monitoring
- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Context-Aware Activity Recognition Systems
- Cardiovascular Health and Disease Prevention
- IoT-based Smart Home Systems
- Obstructive Sleep Apnea Research
- Gait Recognition and Analysis
- EEG and Brain-Computer Interfaces
- Nutritional Studies and Diet
- Ocular and Laser Science Research
- Optical Imaging and Spectroscopy Techniques
- Video Surveillance and Tracking Methods
- Sleep and related disorders
- Human Mobility and Location-Based Analysis
- Biometric Identification and Security
- Advanced Malware Detection Techniques
- IoT and Edge/Fog Computing
- Healthcare Technology and Patient Monitoring
- Phonocardiography and Auscultation Techniques
- Advanced Chemical Sensor Technologies
- Hemodynamic Monitoring and Therapy
- Advanced Computing and Algorithms
- Sleep and Wakefulness Research
Marche Polytechnic University
2017-2023
Contactless detection is one of the new frontiers technological innovation in field healthcare, enabling unobtrusive measurements biomedical parameters. Compared to conventional methods for Heart Rate (HR) that employ expensive and/or uncomfortable devices, such as Electrocardiograph (ECG) or pulse oximeter, contactless HR offers fast and continuous monitoring heart activities provides support clinical analysis without need user wear a device. This paper presents validation study estimation...
Fall detection is one of the most investigated themes in research on assistive solutions for aged people. In particular, a false-alarm-free discrimination between falls and non-falls indispensable, especially to assist elderly people living alone. Current technological designed monitor several types activities indoor environments can guarantee absolute privacy that decide rely them. Devices integrating RGB depth cameras, such as Microsoft Kinect, ensure anonymity, since information...
The possibility of remote measurement vital parameters makes it possible to implement telemedicine systems. However these systems are particular interest for subjects who, due age or pathologies, weak and fragile. For subjects, the management devices measuring that must be appropriately positioned in contact with skin, fixed positions, is difficult. this reason, paper two technologies shown non-contact physiological parameters, heart rate respiratory rate, based on acquisition processing...
The proposed dataset provides a complete set of simultaneously acquired data from contactless and wearable devices for direct indirect heart-rate measurement. Data were on total 20 healthy white Caucasian subjects wearing no makeup (10 males 10 females; age: 22.50 ± 1.57 years; height: 173 cm; weight: 62.80 9.52 kg) consisted of: i) videos the subject's face by RGB-D (Red, Green, Blue Depth) camera (Microsoft Kinect v2), which is device; ii) electrocardiographic (ECG) recordings clinical...
Technologies for contactless Heart Rate measurement support the progress in diagnostic and healthcare fields, opening new possibilities even everyday use at home. Among them, Videoplethysmography based on Eulerian Video Magnification method has been already validated as an effective alternative to traditional, but often bulky, Electrocardiographic acquisitions. In this paper we study influence of different parameters estimation, order assess reliability detection under varying conditions,...
With the increase in life expectancy, one of most important topic for scientific research, especially elderly, is good nutrition. In particular, with an advanced age and health issues because disorders such as Alzheimer dementia, monitoring subjects’ dietary habits to avoid excessive or poor nutrition a critical role. Starting from application aiming monitor food intake actions people during meal, already shown previously published paper, present work describes some improvements that are...
Abstract Since sleep problems, like apnea, may pose a serious health concern, the quality of person’s is good indicator overall wellbeing. It then crucial to continuously monitor people when they are sleeping, especially if have cardiac or respiratory conditions. The goal present paper show how extract physiological parameters from accelerometric signal processing during by applying non-invasive technology. Using an device located under mattress, we demonstrated possibility extracting heart...
The inverse association between heart rate and life expectancy, established by scientific research, drives the need to reduce sedentary behaviors stimulate healthy lifestyles. Among older adults, though, compliance regular physical exercise may be difficult. recent development of so called exergames, joining entertainment typical a gaming activity, provide solution in different application areas, from home rehabilitation treatment age-related diseases. Monitoring adult's during exergaming is...
Pupil size is a valuable source of information since it can reveal the emotional state, fatigue and ageing process. A lot research has been carried out in this area with clinical even psychiatric validity, fluctuations pupil are closely linked to autonomic nervous system. The analysis oscillations due contraction dilation could be useful instrument for diagnosis disorders related their own control mechanisms an index neurological disease affecting other nerve centres. Pupillography...
Technologies for personal safety and security play an increasing role in modern life, are among the most valuable features expected to be supported by so-called smart homes. This paper presents a low-complexity Android application designed both mobile embedded devices, that exploits
It is widely recognized that sleep a basic phys- iological process having fundamental effects on human health, performance and well-being. Such evidence stimulates the re- search of solutions to foster self-awareness personal sleeping habits, correct living environment management policies encourage sleep. In this context, use mobile technologies powered with automatic recognition capabilities can be helpful, ubiquitous computing devices like smartphones leveraged as proxies unobtrusively...
Sleep quality is an index of well-being, since sleep disorders, such as apnea, may constitute a health risk. A constant monitoring subjects, especially when there are heart or respiratory diseases, essential. The present paper aims to offer non-invasive and comfortable monitoring, by employing BallistoCardioGraphic (BCG) signal processing. In particular, with BCG device located below the mattress, we able extract rate, rate and, therefore, exploit this information develop automatic apnea...