- Non-Invasive Vital Sign Monitoring
- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- EEG and Brain-Computer Interfaces
- Sports injuries and prevention
- Muscle activation and electromyography studies
- Structural Health Monitoring Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Opportunistic and Delay-Tolerant Networks
- Bluetooth and Wireless Communication Technologies
- Wireless Body Area Networks
- Hemodynamic Monitoring and Therapy
- Structural Engineering and Vibration Analysis
- Advanced Sensor and Energy Harvesting Materials
- Anesthesia and Sedative Agents
- Knee injuries and reconstruction techniques
- Cardiac, Anesthesia and Surgical Outcomes
- Infrastructure Maintenance and Monitoring
Marche Polytechnic University
2017-2023
HTWG Hochschule Konstanz - Technik, Wirtschaft und Gestaltung
2022
Sleep is extremely important for physical and mental health. Although polysomnography an established approach in sleep analysis, it quite intrusive expensive. Consequently, developing a non-invasive non-intrusive home monitoring system with minimal influence on patients, that can reliably accurately measure cardiorespiratory parameters, of great interest. The aim this study to validate unobtrusive parameter based accelerometer sensor. This includes special holder install the under bed...
Bluetooth mesh is a recent technology built on the low energy protocol stack architecture, focusing Internet of Things. It represents an excellent solution for commercial and industrial lighting applications, though it still evolving. One biggest challenges network improvement confirmation messages reception. In network, determining Status received critical aspect that can generate unexpected issues when multiple devices respond simultaneously, as may occur in some applications. This...
The respiratory rate is a vital sign indicating breathing illness. It necessary to analyze the mechanical oscillations of patient's body arising from chest movements. An inappropriate holder on which sensor mounted, or an position some external factors should be minimized during signal registration. This paper considers using non-invasive device placed under bed mattress and evaluates rate. aim work development accelerometer for this system. normal deep signals were analyzed, corresponding...
Wearable electrocardiogram (ECG) sensing devices are defining the future of continuous, long-term and automatic cardiac health monitoring. The target problem for ECG acquisition processing through patch-based wearable sensors is noise induced by motion artifacts during daily life activities. In this work we propose an improvement segmented beat modulation method (SBMM) with dynamic template to denoise record acquired from a sensor tested on healthy subjects while performing different...