Papers
5
Total Citations
258
H-Index
5
About
Maurizio Turiel’s research sits at the intersection of cardiovascular physiology and rehabilitation engineering, with a particular focus on how autonomic regulation can be assessed and improved in clinical populations. His most influential work, a 2011 paper with 173 citations, critically demonstrated that non-stationarities in heart rate variability (HRV) recordings—common even in controlled settings—can significantly distort short-term spectral, symbolic, and entropy indices. This finding has shaped best practices for HRV analysis, urging researchers to account for signal stability when estimating autonomic function. Turiel has also pioneered the study of robotic-assisted locomotion as a tool for cardiovascular rehabilitation. In a 2010 study (49 citations), he showed that robotic treadmill training improves cardiovascular function in spinal cord injury patients, while subsequent work extended these findings to stroke and cervical myelopathy populations. His methodological contributions include comparing autoregressive spectral analysis with empirical mode decomposition for assessing cardiac regulation during robotic gait, advancing how we quantify autonomic responses in real-world rehabilitation settings. Through this dual focus on rigorous signal processing and applied neurorehabilitation, Turiel has helped bridge the gap between physiological monitoring and therapeutic innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5