A5061195607- Advanced Sensor and Energy Harvesting Materials
- Non-Invasive Vital Sign Monitoring
- Sleep and Work-Related Fatigue
- Electrical and Bioimpedance Tomography
- Obstructive Sleep Apnea Research
- Muscle activation and electromyography studies
- Diabetic Foot Ulcer Assessment and Management
- Infection Control and Ventilation
- Healthcare Technology and Patient Monitoring
- Gait Recognition and Analysis
- Prosthetics and Rehabilitation Robotics
- ECG Monitoring and Analysis
- COVID-19 epidemiological studies
- Heart Rate Variability and Autonomic Control
- Temporomandibular Joint Disorders
- Infrared Thermography in Medicine
- Microfluidic and Bio-sensing Technologies
- Balance, Gait, and Falls Prevention
- Context-Aware Activity Recognition Systems
- Ultrasound Imaging and Elastography
- Ergonomics and Musculoskeletal Disorders
- COVID-19 diagnosis using AI
- IoT-based Smart Home Systems
- Photoacoustic and Ultrasonic Imaging
- Mobile Health and mHealth Applications
University of Pisa
2019-2024
Piaggio (Italy)
2019-2021
Sleep disorders are common health problems in industrialized societies and may be caused by underlying issues. Current methods to assess the quality of sleep invasive not suitable for continuous monitoring real world contexts. We have developed a smart sensing solution non specifically conceived early identification pre-clinical insomnia general population. Our prototype, named Smart-Bed, is low-cost that gathers processes data on movement position subject, physiological signals,...
According to current trends in healthcare sensing technologies, we describe a textile-based pressure matrix that can be integrated the mattress of smart bed characterize sleeping posture/movement subject and extract breathing activity. The mapping layer is developed as 195 piezoresistive sensors, it entirely made textile materials, basic component perform sleep analysis, physiological parameters, detect environmental data related subject’s health. In this paper, show principle architecture...
Breast cancer is the most commonly diagnosed in women worldwide. Although targeted screening programs using mammography have facilitated earlier detection and improved treatment has resulted a significant reduction mortality, some negative aspects related to cost, availability of trained staff, duration procedure, its non-generalizability all must be taken into consideration. palpation simple non-invasive procedure that can performed by lay individuals for detecting possible malignant...
This work reports an innovative framework toward the practical implementation of tactile sensors based on electrical impedance tomography. Particularly, we tested our development a piezoresistive insole-shaped sensor prototype. Our approach couples forward model through physics-based general purpose FEM software and ANN for inverse problem solution. First, developed in COMSOL Multyphysics, optimized parameters to better resemble prototype characteristics. Then, trained with "artificial"...
In the contemporary age of human-centered computing, smartphones, smartwatches, and IoT devices are currently being used in medical sector for continuous monitoring patients. Existing clinical applications generally rely on a single type device, while adoption multi-modal data collection where multiple heterogeneous employed is still not adequately explored. this paper, we present approach European project TOLIFE, which proposed to monitor health status Chronic Obstructive Pulmonary Disease...
We describe the development and preliminary evaluation of an innovative low-cost wearable device for gait analysis. have developed a sensorized sock equipped with 32 piezoresistive textile-based sensors integrated in heel metatarsal areas detection signals associated contact pressures generated during walking phases. To build sock, we applied sensing patch on commercially available sock. The is stretchable circuit based resistive matrix method, which conductive stripes, inks, are coupled...
Early diagnosis and the possibility of effective monitoring during therapy are keys to better treat patients reduce healthcare costs in many pathologies such as neurodegen-erative or musculoskeletal disorders. Gait analysis represents a useful minimally invasive way detect these diseases control progress pathologies. Current systems, however, obtrusive, not usable daily context, expensive often require an expert operator. For reasons, we developed Ephi SPA, sock for gait sensorized through...
This work reports an innovative approach toward the development of tactile sensors based on electrical impedance tomography. Our couples implementation forward model through a physics-based general purpose FEM software and ANN for inverse problem solution. The is trained with artificial dataset generated by using different conductivity distributions. Simulations tests real prototype shows promising performance.
A sensorized face mask could be a useful tool in the case of viral pandemic event, as well Covid-19 emergency. In context proposed project "RESPIRE", we have developed "Smart-Mask" able to collect signal patterns body temperature, respiration, and symptoms such cough, through set textile sensors. The signals been analyzed by Artificial Intelligence algorithms order compare them with gold standard measurements, recognize physiological changes associated infection. This low-cost prototype...
In this article we present the first prototype and preliminary testing of a sensorized footwear with high heel, particular attention to seamless integration extensible pressure sensors in insole layer shoe. We have developed shoe as part WEARART research project aim extracting gait parameters without altering characteristics related build quality beauty tested on two healthy subjects, demonstrating ability extract basic such walking frequency number steps.