A5006428612- Advanced Sensor and Energy Harvesting Materials
- Textile materials and evaluations
- Non-Invasive Vital Sign Monitoring
- Ergonomics and Musculoskeletal Disorders
- Heart Rate Variability and Autonomic Control
- Cardiac Valve Diseases and Treatments
- Tactile and Sensory Interactions
- Erythrocyte Function and Pathophysiology
- Emotion and Mood Recognition
- Cardiac Imaging and Diagnostics
- Microfluidic and Bio-sensing Technologies
- Cardiovascular Function and Risk Factors
- Cellular Mechanics and Interactions
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- 3D Printing in Biomedical Research
- EEG and Brain-Computer Interfaces
- Advanced MRI Techniques and Applications
- Muscle activation and electromyography studies
- E-commerce and Technology Innovations
- Infective Endocarditis Diagnosis and Management
Department of Medical Sciences
2024
ETH Zurich
2022-2024
Mylan (Switzerland)
2020
Curculio Institute
2020
Politecnico di Milano
2020
Mobile health technology and activity tracking with wearable sensors enable continuous unobtrusive monitoring of movement biophysical parameters. Advancements in clothing-based devices have employed textiles as transmission lines, communication hubs, various sensing modalities; this area research is moving towards complete integration circuitry into textile components. A current limitation for motion the need protocols demanding physical connection rigid devices, or vector network analyzers...
Experimental and computational methods: together to disentangle the role of extensional shear fluid dynamics on single cell deformation.
Abstract Aims Post-procedure conduction abnormalities (CA) remain a common complication of transcatheter aortic valve implantation (TAVI), highlighting the need for personalized prediction models. We used machine learning (ML), integrating statistical and mechanistic modelling to provide patient-specific estimation probability developing CA after TAVI. Methods results The cohort consisted 151 patients with normal no pacemaker at baseline who underwent TAVI in nine European centres. Devices...
With advances in portable and wearable devices, it should be possible to analyze interpret the collected biosignals from those devices tailor a psychological intervention help patients. This study focuses on detecting anxiety by using device that collects electrocardiogram (ECG) respiration (RSP) signals. The feature extraction focused heart-rate variability (HRV) breathing-rate (BRV). We show significant change these signals occurred between non-anxiety-induced anxiety-induced states. HRV...
Portable and wearable devices are becoming increasingly common in our daily lives. In this study, we examined the impact of anxiety-inducing videos on biosignals, particularly electrocardiogram (ECG) respiration (RES) signals, that were collected using a portable device. Two psychological scales (Beck Anxiety Inventory Hamilton Rating Scale) used to assess overall anxiety before induction. The data at Simon Fraser University from participants aged 18–56, all whom healthy time. ECG RES...
Decisions in the management of aortic stenosis are based on peak pressure drop, captured by Doppler echocardiography, whereas gold standard catheterization measurements assess net drop but limited associated risks. The relationship between these two measurements, and is dictated recovery along ascending aorta which mainly caused turbulence energy dissipation. Currently, considered to occur within first 40-50 mm distally from valve, albeit there inconsistency across interventionist centers...
Smart Textile In article number 2206665, Tyler J. Cuthbert, Carlo Menon, and co-workers have developed a fully-textile wearable sensing platform for human motion tracking that transmits data wirelessly. The communication circuit is made solely of conductive textile elements, which contains no electronic or rigid components. smart clothes can track daily activities like walking climbing stairs continuously unobtrusively. Potential applications include general fitness physical rehabilitation...
Textile-based wearable technologies have significant potential for monitoring movements in fitness and health applications. Inductive sensing is a promising modality due to the ease of sensors fabrication quality sensors' response. This study initially focused on designing individual textile inductive sensors. Then, selected parameters were used create textile-based garment with capable back three directions. The successfully demonstrated that developed can monitor
Monitoring human movement is highly relevant in mobile health applications. Textile-based wearable solutions have the potential for continuous and unobtrusive monitoring. The precise estimation of joint angles important applications such as prevention osteoarthritis or assessment progress physical rehabilitation. We propose a textile-based device knee angle through capacitive sensors placed different locations above contact with skin. exploited this modality to enhance baseline value...
Introduction
 Monitoring biomechanics is crucial in sports and rehabilitation, frontal knee angle of special interest these applications. Current solutions – optical motion capture (OMC), or inertial measurement units suits are costly, spatially constrained, impractical for use daily life. Textile-based wearable systems a valuable alternative unobtrusive movement monitoring. wearables monitoring have mostly been used sagittal prediction, however, more challenging. We investigated the...
Introduction Textile wearable systems for human movement monitoring are increasingly popular. However, few examples report on robustness to sweat, which is relevant use in real life. Some reported the effect of artificial sweat like phosphate buffered saline (PBS; Lin et al., 2022) or simply moisture (Xu 2020) custom materials. We previously developed an all-textile wireless sensing platform with commercial conductive yarns and fabrics containing silver. There no study such materials,...