| 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 | 585 | 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 | 485 | 2011 |
| 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 | 252 | 2019 |
| 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 | 244 | 2012 |
| 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 | 221 | 2013 |
| 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 | 215 | 2015 |
| Precision medicine and artificial intelligence: a pilot study on deep learning for hypoglycemic events detection based on ECG M Porumb, S Stranges, A Pescapè, L Pecchia Scientific reports 10 (1), 170, 2020 | 203 | 2020 |
| Heart rate variability (HRV) analysis: A methodology for organizational neuroscience S Massaro, L Pecchia Organizational research methods 22 (1), 354-393, 2019 | 197 | 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 | 180 | 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 | 152 | 2010 |
| 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 | 146 | 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 (3 …, 2018 | 139 | 2018 |
| 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 | 137 | 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 | 133 | 2013 |
| 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 | 129 | 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 in …, 2016 | 125 | 2016 |
| A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data E Martinez-Ríos, L Montesinos, M Alfaro-Ponce, L Pecchia Biomedical Signal Processing and Control 68, 102813, 2021 | 111 | 2021 |
| 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 | 110 | 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 | 109 | 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 | 106 | 2011 |
Paolo MelilloUniversity of Campania Luigi VanvitelliCorreu electrònic verificat a unicampania.it
