| 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 | 447 | 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 | 411 | 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 | 215 | 2012 |
| 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 | 187 | 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 | 178 | 2013 |
| 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), 1-13, 2019 | 173 | 2019 |
| Heart rate variability (HRV) analysis: A methodology for organizational neuroscience S Massaro, L Pecchia Organizational research methods 22 (1), 354-393, 2019 | 145 | 2019 |
| 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 | 142 | 2020 |
| 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 | 134 | 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 | 134 | 2010 |
| 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), 1-15, 2018 | 127 | 2018 |
| 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), 1-11, 2013 | 121 | 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 | 104 | 2020 |
| 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 | 103 | 2011 |
| 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 | 100 | 2018 |
| 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 | 99 | 2011 |
| 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 | 94 | 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 | 92 | 2016 |
| 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 | 69 | 2019 |
| The inadequacy of regulatory frameworks in time of crisis and in low-resource settings: personal protective equipment and COVID-19 L Pecchia, D Piaggio, A Maccaro, C Formisano, E Iadanza Health and Technology 10 (6), 1375-1383, 2020 | 64 | 2020 |
Paolo MelilloUniversity of Campania Luigi VanvitelliBestätigte E-Mail-Adresse bei unicampania.it
