Antonio Canichella

Technical and support staff

canichella@med.uniroma2.it

Phone

+39 06 72596024

Skills

Electronic measurements
Expert in physiological signal recording and analysis from medical equipments and transducers
Waveform analysis software
Analysis and development of websites

Profiles

Scopus

Orcid

Google Scholar

Pubmed

Labs

UltraSound (TheraFus)

Last 5 articles (SCOPUS)

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

Intraoperative hemodynamics predict postoperative mortality in orthotopic liver transplantation; Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS; 4 November 2015; DOI: 10.1109/EMBC.2015.7318530

Last 5 articles (PubMed)

Ex vivo localization of wireless implantable microdevice using high-resolution 3D imaging techniques
on 18 June 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 November 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 November 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 January 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 January 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...