Leandro Pecchia
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Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis
R Castaldo, P Melillo, U Bracale, M Caserta, M Triassi, L Pecchia
Biomedical Signal Processing and Control 18, 370-377, 2015
Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination
P Melillo, M Bracale, L Pecchia
Biomedical engineering online 10, 1-13, 2011
Which is the best laparoscopic approach for inguinal hernia repair: TEP or TAPP? A systematic review of the literature with a network meta-analysis
U Bracale, P Melillo, G Pignata, E Di Salvo, M Rovani, G Merola, ...
Surgical endoscopy 26, 3355-3366, 2012
Ultra-short term HRV features as surrogates of short term HRV: A case study on mental stress detection in real life
R Castaldo, L Montesinos, P Melillo, C James, L Pecchia
BMC medical informatics and decision making 19, 1-13, 2019
Automatic prediction of cardiovascular and cerebrovascular events using heart rate variability analysis
P Melillo, R Izzo, A Orrico, P Scala, M Attanasio, M Mirra, N De Luca, ...
PloS one 10 (3), e0118504, 2015
Classification tree for risk assessment in patients suffering from congestive heart failure via long-term heart rate variability
P Melillo, N De Luca, M Bracale, L Pecchia
IEEE journal of biomedical and health informatics 17 (3), 727-733, 2013
Precision medicine and artificial intelligence: a pilot study on deep learning for hypoglycemic events detection based on ECG
M Porumb, S Stranges, A PescapŔ, L Pecchia
Scientific reports 10 (1), 170, 2020
Heart rate variability (HRV) analysis: A methodology for organizational neuroscience
S Massaro, L Pecchia
Organizational research methods 22 (1), 354-393, 2019
On the use of approximate entropy and sample entropy with centre of pressure time-series
L Montesinos, R Castaldo, L Pecchia
Journal of neuroengineering and rehabilitation 15, 1-15, 2018
Remote health monitoring of heart failure with data mining via CART method on HRV features
L Pecchia, P Melillo, M Bracale
IEEE Transactions on Biomedical Engineering 58 (3), 800-804, 2010
Discrimination power of short-term heart rate variability measures for CHF assessment
L Pecchia, P Melillo, M Sansone, M Bracale
IEEE Transactions on Information Technology in biomedicine 15 (1), 40-46, 2010
User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner
L Pecchia, JL Martin, A Ragozzino, C Vanzanella, A Scognamiglio, ...
BMC medical informatics and decision making 13, 1-11, 2013
A convolutional neural network approach to detect congestive heart failure
M Porumb, E Iadanza, S Massaro, L Pecchia
Biomedical Signal Processing and Control 55, 101597, 2020
Wearable inertial sensors for fall risk assessment and prediction in older adults: A systematic review and meta-analysis
L Montesinos, R Castaldo, L Pecchia
IEEE transactions on neural systems and rehabilitation engineering 26 (3á…, 2018
Are ultra‐short heart rate variability features good surrogates of short‐term ones? State‐of‐the‐art review and recommendations
L Pecchia, R Castaldo, L Montesinos, P Melillo
Healthcare technology letters 5 (3), 94-100, 2018
Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis
R Castaldo, W Xu, P Melillo, L Pecchia, L Santamaria, C James
2016 38th Annual international conference of the IEEE engineering iná…, 2016
Discrimination power of long-term heart rate variability measures for chronic heart failure detection
P Melillo, R Fusco, M Sansone, M Bracale, L Pecchia
Medical & biological engineering & computing 49, 67-74, 2011
Evidence-based clinical engineering: Machine learning algorithms for prediction of defibrillator performance
A Badnjević, LG Pokvić, M Hasičić, L Bandić, Z Mašetić, Ž Kovačević, ...
Biomedical Signal Processing and Control 54, 101629, 2019
Analytic hierarchy process (AHP) for examining healthcare professionals’ assessments of risk factors
L Pecchia, PA Bath, N Pendleton, M Bracale
Methods of information in medicine 50 (05), 435-444, 2011
A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data
E Martinez-RÝos, L Montesinos, M Alfaro-Ponce, L Pecchia
Biomedical Signal Processing and Control 68, 102813, 2021
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