Antonio Canichella

Personale non docente

canichella@med.uniroma2.it

Telefono

+39 06 72596024

Competenze

Misure elettroniche
Progettazione e realizzazione di hardware e software per l’acquisizione di segnali da strumenti di misura in campo medico e da trasduttori di grandezze fisiche legate al monitoraggio pazienti
Software per analisi forme d’onda
Analisi e sviluppo portali web

Profili

Scopus

Orcid

Google Scholar

Pubmed

Laboratori

UltraSuoni (TheraFus)

Ultime 5 pubblicazioni (SCOPUS)

Ex vivo localization of wireless implantable microdevice using high-resolution 3D imaging techniques; Frontiers in Bioengineering and Biotechnology; 2026; DOI: 10.3389/fbioe.2026.1830115

Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography; IEEE Journal of Biomedical and Health Informatics; November 2019; DOI: 10.1109/JBHI.2018.2882550

Detecting Mechanical Alternans Utilizing Photoplethysmography; Computing in Cardiology; September 2018; DOI: 10.22489/CinC.2018.212

Prediction of postoperative outcomes using intraoperative hemodynamic monitoring data; Scientific Reports; 1 December 2017; DOI: 10.1038/s41598-017-16233-4

Heart rate variability in untreated newly diagnosed temporal lobe epilepsy: Evidence for ictal sympathetic dysregulation; Epilepsia; 1 March 2016; DOI: 10.1111/epi.13309

Ultime 5 pubblicazioni (PubMed)

Ex vivo localization of wireless implantable microdevice using high-resolution 3D imaging techniques
on 18 Giugno 2026
The CROSSBRAIN EU project aims to address the heterogeneous nature of brain pathologies by developing wireless implantable microbots (µBots, planned dimensions 100 × 100 × 100 μm³) for highly localized neuromodulation. These devices are designed to precisely modulate brain activity with minimal invasiveness, enabling targeted resolution of specific spatiotemporal events, capabilities not currently achieved by existing neuromodulation technologies. A crucial step involves visualizing and ensuring...
Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography
on 27 Novembre 2018
CONCLUSION: MA can be accurately identified non-invasively through PPG analysis. This may have important clinical implications for risk stratification and remote monitoring.
Prediction of postoperative outcomes using intraoperative hemodynamic monitoring data
on 29 Novembre 2017
Major surgeries can result in high rates of adverse postoperative events. Reliable prediction of which patient might be at risk for such events may help guide peri- and postoperative care. We show how archiving and mining of intraoperative hemodynamic data in orthotopic liver transplantation (OLT) can aid in the prediction of postoperative 180-day mortality and acute renal failure (ARF), improving upon predictions that rely on preoperative information only. From 101 patient records, we extracted...
Heart rate variability in untreated newly diagnosed temporal lobe epilepsy: Evidence for ictal sympathetic dysregulation
on 28 Gennaio 2016
OBJECTIVE: To compare heart rate variability (HRV) parameters in newly diagnosed and untreated temporal lobe epilepsy (TLE) between the interictal, preictal, ictal, and postictal states.
Intraoperative hemodynamics predict postoperative mortality in orthotopic liver transplantation
on 7 Gennaio 2016
Liver transplantation remains the only curative treatment option for a variety of end-stage liver diseases. Prediction of major adverse events following surgery has traditionally focused on static predictors that are known prior to surgery. The effects of intraoperative management can now be explored due to the archiving of high-resolution monitoring data. We extracted intraoperative hemodynamic trend data of 55 patients undergoing orthotopic liver transplantation (OLT) and computed 12 features...