糖心TV

Skip to main content Skip to navigation

School of Engineering

ABSPIE publications

The updated list of all the lab publications can be read also at:

  • Prof. Leandro Pecchia webpage: linkLink opens in a new window.
  • Prof. Leandro Pecchia Google Scholar profile: .
  • Dr. Davide Piaggio webpage: link.
  • Dr. Davide Piaggio Google Scholar profile:

Selected Publications

2025

  1. Arnold L, Aryal S, Hong B, Nitharsan M, Shah A, Ahmed W, Su W, Piaggio D. A systematic literature review of eye-tracking and machine learning methods for improving productivity and reading abilities. Appl Sci. 2025 Mar 15;15(6):3308.
  2. Su W, Statham L, Jammal C, Pecchia L, Hoad D, Piaggio D. On the quest for ophthalmological biomarkers for long COVID: a scoping review. Appl Sci. 2025 May 29;15(11):6126.
  3. Su W, Hoad D, Pecchia L, Piaggio D. Validation of an eye-tracking algorithm based on smartphone videos: a pilot study. Diagnostics. 2025 Jun 12;15(12):1446.

2024

  1. Montesinos L, Checa Rif谩 P, Rif谩 Fabregat M, Maldonado-Romo J, Capacci S, Maccaro A, Piaggio D. Sustainability across the medical device lifecycle: a scoping review. Sustainability. 2024 Feb 8;16(4):1433.
  2. Maccaro A, Oronti IB, Zito E, Piaggio D, Pecchia L. Women in engineering, science and technology in sub-Saharan Africa: cultural attitudes, challenges, and gaps affecting clinical engineering and medical devices maintenance practices. Health Technol. 2024 Apr;14(4):683-94.
  3. Clark D, Piaggio D, Ibrahim NH, Abate LD, Pecchia L. Frugal engineering–the tide that lifts all boats. In: 2024 IEEE International Humanitarian Technologies Conference (IHTC); 2024 Nov; Piscataway (NJ): IEEE; p. 1–5.
  4. Maccaro A, Stokes K, Statham L, He L, Williams A, Pecchia L, Piaggio D. Clearing the fog: a scoping literature review on the ethical issues surrounding artificial intelligence-based medical devices. J Pers Med. 2024 May 15;14(5):443.
  5. Piaggio D, Hyland S, Maccaro A, Iadanza E, Pecchia L. A 3D-printed condom intrauterine balloon tamponade: design, prototyping, and technical validation. PLoS One. 2024 Jun 12;19(6):e0303844.
  6. Piaggio D, Castaldo R, Garibizzo G, Iadanza E, Pecchia L. A smartphone-based tool for screening diabetic neuropathies: A mHealth and 3D printing approach. Biomedical Signal Processing and Control. 2024 Mar 1;89:105807.
  7. Maccaro A, Tsiompanidou V, Piaggio D, Gallego Montejo AM, Cea S谩nchez G, de Batlle J, Quesada Rodriguez A, Fico G, Pecchia L. Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience. npj Digital Medicine. 2024 Apr 13;7(1):95.
  8. Stokes K, Piaggio D, De Micco F, Zarro M, De Benedictis A, Tambone V, Moon M, Maccaro A, Pecchia L. The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review. Infectious Disease Reports. 2024 Jun 7;16(3):519-30.
  9. Piaggio D, Hyland S, Maccaro A, Iadanza E, Pecchia L. A 3D-printed condom intrauterine balloon tamponade: Design, prototyping, and technical validation. Plos one. 2024 Jun 11;19(6):e0303844.

2023

  1. Maccaro A, Audia C, Stokes K, Masud H, Sekalala S, Pecchia L, Piaggio D. Pandemic preparedness: a scoping review of best and worst practices from COVID-19. InHealthcare 2023 Sep 18 (Vol. 11, No. 18, p. 2572). MDPI.
  2. Bini F, Franz貌 M, Maccaro A, Piaggio D, Pecchia L, Marinozzi F. Is medical device regulatory compliance growing as fast as extended reality to avoid misunderstandings in the future?. Health and Technology. 2023 Sep;13(5):831-42.
  3. O. Cisuelo, K Stokes, I Oronti, M Haleem, T Barber, M Weickert, L Pecchia, J Hattersley, Development of an artificial intelligence system to identify hypoglycaemia via ECG in adults with type 1 diabetes: protocol for data collection under controlled and free-living conditions in BMJOpen
  4. Andellini, M.S. Haleem, M. Angelini, M. Ritrovato, R. Schiaffini, E. Iadanza, L. Pecchia, 鈥淎 study protocol for an experimental study for detecting the associations between hypoglycemic events and cardiac conduction disorders through non-invasive monitoring using wearable devices in a pediatric population鈥� Health and Technology (IF=2.2): 2023 ()
  5. Haleem, M.S.; Ekuban, A.; Antonini, A.; Pagliara, S.; Pecchia, L.; Allocca, C. Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis.Electronics 2023,12, 1989.
  6. Iadanza E, Pasqua G, Piaggio D, Caputo C, Gherardelli M, Pecchia L. A robotic arm for safe and accurate control of biomedical equipment during COVID-19. Health and Technology. 2023 Jan 5:1-6.
  7. Piaggio D, Zarro M, Pagliara S, Andellini M, Almuhini A, Maccaro A, Pecchia L. The use of Smart Environments and Robots for Infection Prevention Control: a systematic literature review. American Journal of Infection Control. 2023 Mar 15.

2022

  • Journal
  1. A. Maccaro, D. Piaggio, S. Leesurakarn, S. Sekalala, S. M. Rai, L. Pecchia, On the universality of Medical Device Regulations: the case of Benin, in 芦BMC Health Services Research禄 accepted 29 Apr 2022.
  2. A. Maccaro, D. Piaggio, M. Vignigb茅, A. Singl, L. Pecchia, COVID-19 preparedness and social dynamics in a Sub-Saharan Africa country, Benin, in 芦Health Promotion International禄, accepted 4 Apr 2022.
  3. A. Maccaro, D. Piaggio, I. B. Oronti, M. Vignigb茅, A. Gbokli, R. Hougnihin, L. Pecchia, Social engagement in the fight against COVID-19 in the urban and peri-urban areas of Cotonou (Benin, Sub-Saharan Africa): acceptability of the vaccination and tracking program, in 芦Frontiers in Medicine禄, accepted March 2022.
  4. A. Maccaro, L. Pecchia, Scienza, etica, politica e societ脿. Un dialogo interdisciplinare sollecitato dalla pandemia di Covid-19, in A. Maccaro- R. Prodomo (a cura di), Le sfide del Covid-19 alla bioetica, Quaderni di bioetica nr. 20, Mimesis, Milano, 2022, pp. 49-64
  5. Facciorusso, A., Kovacevic, B., Yang, D., Vilas-Boas, F., Mart铆nez, B., Stigliano, S., ...Pecchia L.,... & Crin贸, S. F. (2022). Predictors of adverse events after endoscopic ultrasound through-the-needle biopsy of pancreatic cysts: a recursive partitioning analysis. Endoscopy, Endoscopy 2022; 54(S 01): S87-S88,
  6. De Maria, C., D铆az Lantada, A., J盲ms盲, T., Pecchia L, Ahluwaliaet A. (2022) Biomedical engineering in low- and middle-income settings: analysis of current state, challenges and best practices. Health Technol.
  7. Stokes K, Oronti B, Cappuccio FP, Pecchia, (2022) Use of technology to prevent, detect, manage and control hypertension in sub-Saharan Africa: a systematic reviewBMJ Open 2022;12:e058840.
  8. Vallefuoco E, Bravaccio C, Gison G, Pecchia L , Pepino A. (2022). Personalized Training via Serious Game to Improve Daily Living Skills in Pediatric Patients with Autism Spectrum Disorder, IEEE Journal of Biomedical and Health Informatics (J-BHI).
  9. Allocca, C., Jilali, S., Ail, R., Lee, J., Kim, B., Antonini, A., ..., Pecchia L,... & Fico, G. (2022). Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity & Sedentary Behavior Guidelines. Applied Sciences, 12(4), 1776.
  10. Federici, C., & Pecchia, L. (2022). POSB52 Exploring the Misalignment on the Value of Further Research between Payers and Manufacturers: A Case Study on a Novel Total Artificial Heart. Value in Health, 25(1), S70.
  11. Williams, E., Piaggio, D., Andellini, M., Pecchia, L. (2022) 3D-printed activated charcoal inlet filters for oxygen concentrators: a circular economy approach. Development Engineering 7 (2022) 100094.  
  12. Stokes, K., Castaldo, R., Federici, C., Pagliara, S., Maccaro, A., Cappuccio, F., Fico, G., Salvatore, M., Franzese, M. and Pecchia, L.. (2022) The use of Artificial Intelligence Systems in Diagnosis of Pneumonia via signs and symptoms: a systematic review. Biomedical Signal Processing and Control. Volume 72, Part A, February 2022, 103325,
  13. De Micco, F., De Benedictis, A., Fineschi, V., Frati, P., Ciccozzi, M., Pecchia, L., ... & Tambone, V. (2022). From Syndemic Lesson after COVID-19 Pandemic to a 鈥淪ystemic Clinical Risk Management鈥� Proposal in the Perspective of the Ethics of Job Well Done. International Journal of Environmental Research and Public Health, 19(1), 15.
  14. Castaldo, R., Haleem, M. S., Stokes K., Oronti, B., Franzese M. and Pecchia, L. (September 2022) "Artificial Intelligence for reliable medical technologies in low resource settings". In Ahluwalia, A., De Maria, C., Pecchia, L. and Severi, S. (editors) Biomedical Engineering for Sustainable Development. P脿tron Editore, Bologna. 139-154.
  15. I. B. Oronti, E. Iadanza and L. Pecchia, "Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review," in IEEE Reviews in Biomedical Engineering, 2022, doi: 10.1109/RBME.2022.3186828. .
  16. TR. Jossou, Z. Tahori, G. Houdji, D. Medenou, A. Lasfar, F. Sanya, M. H. Ahouandjinou, S. M. Pagliara, M.S.Haleem and A. Tahir,鈥� N-Beats as an EHG signal forecasting method for labour prediction in full term pregnancy鈥� in Electronics (11) (IF=2.7), 2022 ()
  17. Ravera L, Scheeren TW, Piaggio D, Federici C. Conversations with the Editors: Artificial Intelligence–Based Technologies Leading the Innovation in Surgical Care. Clinical Therapeutics. 2022 Jun 1;44(6):828-34.

2021

  • Journal
  1. Andellini M, Faggiano F, Picardo SG, Testa G, Perrotta D, Bianchi R, Nocchi F, Capussotto C, Bassanelli E, Derrico P, Pirozzi N, Pecchia L, Ritrovato M. Health Technology Assessment of Intensive Care Ventilators for Pediatric Patients. Children (Basel). 2021 Nov 1;8(11):986. doi: 10.3390/children8110986. PMID: 34828698; PMCID: PMC8621341.
  2. Maccaro A, Piaggio D, Dodaro CA, Pecchia L (2021) Biomedical engineering and ethics: reflections on medical devices and PPE during the first wave of COVID-19, BMC Medical Ethics, (2021) 22:130
  3. Stokes K, Castaldo R, Franzese M, Salvatore M, Fico G, Pokvicd LG, Badnjevice A, Pecchia L ,A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings鈥� (2021), Biocybernetics and Biomedical Engineering, Vol 41, issue 4: 1288-1302;
  4. Stokes K, Peltrini R, Bracale U, Trombetta M, Pecchia L, Basoli F, Enhanced medical and community face masks with antimicrobial properties: a systematic review, J. Clin. Med. 2021,10(18), 4066;
  5. Federici, C., & Torbica, A. (2021). Expanding the Role of Early Health Economic Modelling in Evaluation of Health Technologies Comment on" Problems and Promises of Health Technologies: The Role of Early Health Economic Modeling". International Journal of Health Policy and Management, 10(2), 102.
  6. Drummond, M., Federici, C., Busink, E., Apel, C., Kendzia, D., & Brouwer, W. (2021). Performance-based risk-sharing agreements in renal care: current experience and future prospects. Expert Review of Pharmacoeconomics & Outcomes Research.
  7. Jossou TR, Et-tahir A, Tahori Z, El Ouadi A, Medenou D, Bybi A, Fagbemi L, Sbihi M, Piaggio D. Electrodes in external electrohysterography: a systematic literature review. Biophysical Reviews. 2021 May 9:1-1.
  8. Jossou TR, Aziz ET, Medenou D, Bybi A, Fagbemi L, Sbihi M, Piaggio D. Methods to distinguish labour and pregnancy contractions: a systematic literature review. Health and Technology. 2021 May 13:1-3.
  9. Piaggio D., Namm G., Melillo P, Simonelli F., Iadanza E., Pecchia L., (2021), Pupillometry via smartphone for low-resource settings, Biocybernetics and Biomedical Engineering, 41 (3), pp. 891-902.
  10. Martinez-R铆osa E, Montesinosa L, Alfaro-Poncea M, Pecchia L (Accepted May 2021), A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data, Biomedical Signal Processing and Control, 68 (2021),
  11. Dimauro G, Bevilacqua V, Pecchia L (2021), Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare, Electronics, 10(11), 1242.
  12. Maccaro A, Piaggio D, Pagliara S, Pecchia L, (Accepted May 2021) The role of ethics in science. A systematic literature review starting from the first wave of Covid-19, Health and Technology,
  13. Polisena J. , Andellini M. , Salerno P., Borsci S., Pecchia L. , Iadanza E., Case Studies on the Use of SentimentAnalysis to Assess the Effectiveness and Safety of Health Technologies. IEEE Access. 9 (2021):66043-66051.
  14. Komarzynski Sandra, Wreglesworth Nicholas I, Griffiths Dawn , Pecchia L, Subbe Christian P., Hughes Stephen F, Davies Elin H., Innominato Pasquale F, (2021) Embracing Change: Learnings from implementing multidimensional digital remote monitoring in oncology patients at a district general hospital during the COVID-19 pandemic. JCO Clinical Cancer Informatics, 5 (2021) 216-220.
  15. Castaldo R, Cavalieri C, Soricelli A, Salvatore M, Pecchia L and Franzese M (2021) Machine learning for prostate cancer diagnosis: a systematic literature review of radiomic and genomic method performance, Journal of Medical Internet Research, Vol 23 (4),

  16. Iadanza, E., Cerofolini, S., Lombardo, C., Satta, F., Gherardelli, M. Medical devices nomenclature systems: a scoping review (2021) Health and Technology, 11 (4), pp. 681-692.

  17. Iadanza, E., Zacchia, M., Pennati, D., Manetti, L., Bocchi, L., Gherardelli, M. Fuzzy FMECA Process Analysis for Managing the Risks in the Lifecycle of a CBCT Scanner (2021) IEEE Access, 9, pp. 135723-135741.

  18. Castaldo R., Chappell M. J., Byrne H., Innominato P. F., Hughes S., Pescap猫 A. and Pecchia L. (2021). Detection of melatonin-onset in real settings via wearable sensors and artificial intelligence. A pilot Study. Biomedical Signal Processing and Control, 65, 2021,
  19. Maccaro, A., Piaggio, D., Dodaro, C. A. and Pecchia, L. (2020). Mental illness in some Sub Saharan African communities: the perspective of Bioethics and transcultural nursing. Medicina e Morale, 69(4), 493-502.

  20. Telalovic, J.H., Pillozzi, S., Fabbri, R., Laffi, A., Lavacchi, D., Rossi, V., Dreoni, L., Spada, F., Fazio, N., Amedei, A., Iadanza, E., Antonuzzo, L. A machine learning decision support system (DSS) for neuroendocrine tumor patients treated with somatostatin analog (SSA) therapy(2021) Diagnostics, 11 (5), art. no. 804.

  21. Celesti, A., De Falco, I., Pecchia, L., & Sannino, G. (2021). Guest Editorial Enabling Technologies for Next Generation Telehealthcare. IEEE Journal of Biomedical and Health Informatics, 25(12), 4240-4242.  
  22. Federici C, Pecchia L. (2021) Early Health Technology Assessment using the MAFEIP tool. A case study on a wearable device for fall prediction in elderly patients. Health and Technology,  
  23. Muhammad SH, Castaldo R, Pagliara SM, Petretta M, Salvatore M, Franzese M, Pecchia L, (2021), "Time Adaptive ECG driven Cardiovascular Disease Detector", Biomedical Signal Processing and Control, Vol. 20: 102968,  
  24. Piaggio D., Castaldo R., Cinelli M., Cinelli S., Maccaro A., Pecchia L., (2021) "A framework for designing medical devices resilient to low-resource settings", Global Health 17, 64 (2021),  

2020

  • Journal
    1. Gilardi F, De Falco F, Casasanta D, Andellini M, Gazzellini S, Petrarca M, Morocutti A, Lettori D, Ritrovato M, Castelli E, Raponi M, Magnavita N, Zaffina S. Robotic Technology in Pediatric Neurorehabilitation. A Pilot Study of Human Factors in an Italian Pediatric Hospital. Int J Environ Res Public Health. 2020 May 17;17(10):3503. doi: 10.3390/ijerph17103503. PMID: 32429562; PMCID: PMC7277142.
    2. Castaldo R., Chappell M. J., Byrne H., Innominato F., Hughes S., Pescap猫 A., Pecchia L. Detection of melatonin-onset in real settings via wearable sensors and artificial intelligence. A pilot study. Biomedical Signal Processing and Control, (Accepted 06.12.2020).
    3. Maccaro A., Piaggio D., Dodaro C., Pecchia L. Illness in some Sub Saharan African communities: the perspective of Bioethics and transcultural nursing. Medicina e Morale (In Print).
    4. Andellini M, De Santis S, Nocchi F, Bassanelli E, Pecchia L, Ritrovato M. Clinical needs and technical requirements for ventilators for COVID-19 treatment critical patients: an evidence-based comparison for adult and pediatric age. Health and Technology. 2020;10(6):1403-11.
    5. AHOUANDJINOU MH, Medenou D, Pecchia L, Houessouvo RC, Jossou TR. Modeling an Integrated Network for Remote Patient Monitoring, based on the Internet of Things for a More Preventive and Predictive Health System in West Africa. Global Clinical Engineering Journal. 2020;3(2):19-21.

    6. Porumb, M., Iadanza, E., Massaro, S., Pecchia, L. A convolutional neural network approach to detect congestive heart failure. Biomedical Signal Processing and Control, 2020 Jan 1;55:101597.

    7. Porumb, M, Stranges, S., Pescap脿篓, A., Pecchia, L. Precision medicine and artificial intelligence : a pilot study on deep learning for hypoglycemic events detection based on ECG. Scientific Reports, 2020;10 (1),

    8. Pecchia L, Piaggio D, Maccaro A, Formisano C, Iadanza E., The inadequacy of regulatory frameworks in time of crisis and in low-resource settings: personal protective equipment and COVID-19, Health and Technology, 2020; 1.

    9. Iadanza E, Goretti F, Sorelli M, Melillo P, Pecchia L, Simonelli F, Gerardelli M. Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry. IEEE Access, 2020;8(1):34949-34961,

    10. Iadanza, E., Gonnelli, V., Satta, F., Gherardelli, M., Evidence-based medical equipment management: a convenient implementation (2019) Medical and Biological Engineering and Computing, 57 (10), pp. 2215-2230.

    11. Iadanza, E., Fabbri, R., Luschi, A., Melillo, P., Simonelli, F. A collaborative RESTful cloud-based tool for management of chromatic pupillometry in a clinical trial (2020) Health and Technology, 10 (1), pp. 25-38.

    12. Iadanza, E., Mudura, V., Melillo, P., Gherardelli, M. An automatic system supporting clinical decision for chronic obstructive pulmonary disease (2020) Health and Technology, 10 (2), pp. 487-498.

    13. Iadanza, E., Luschi, A. An integrated custom decision-support computer aided facility management informative system for healthcare facilities and analysis (2020) Health and Technology, 10 (1), pp. 135-145.

    14. Iadanza, E., Fabbri, R., Ba拧i膰-膶i膶ak, D., Amedei, A., Telalovic, J.H. Gut microbiota and artificial intelligence approaches: A scoping review (2020) Health and Technology, 10 (6), pp. 1343-1358.

    15. Medenou D, Ahouandjinou MH, Piaggio D, Houessouvo RC, Pecchia L, Jossou TR. New intelligent network approach for monitoring physiological parameters: the case of Benin. Health and Technology. 2020;10(5):1311-22. https://doi.org/10.1007/s12553-020-00418-5,

    16. Marano S., Marano M., Pecchia L., Frontiers in Hemodialysis Part II: Toward Personalized and Optimized Therapy. Biomedical Signal Processing and Control, 2020;61:102029.

    17. Di Pietro L, Piaggio D, Oronti I, Maccaro A, Houessouvo RC , Medenou D, De Maria C, Pecchia L, Ahluwalia A. A framework for assessing healthcare facilities in low-resource settings: field studies in Benin and Uganda. Journal of Medical and Biological Engineering, 2020;40(4):526-34.

    18. Pirc E, Federici C, Bo拧njak M, Peri膰 B, Reber拧ek M, Pecchia L., et al. Early cost-effectiveness analysis of electrochemotherapy as a prospect treatment modality for skin melanoma. Clinical Therapeutics, 2020;42(8):1535-48.

    19. Porumb M., Corbin G, Hatterslay J, Pecchia L., Nocturnal Low Glucose Detection in Healthy, Elderly from one-lead ECG using Convolutional Denoising Autoencoders. Biomedical Signal Processing and Control. 2020;62:102054.

    20. Turillazzi, B., Leoni, G., Gaspari, J., Iadanza, E., My, M., Massari, M., Boulanger, S.O.M., Djalali, A. Heritage-led ontologies: Digital platform for supporting the regeneration of cultural and historical sites (2020) WIT Transactions on Ecology and the Environment, 249, pp. 307-318.

  • Book Chapters
    1. Pecchia L, Piaggio D. Evidence generation in medicine. In Clinical Engineering Handbook 2020 (pp. 818-820). Academic Press.
    2. Montesinos L, Pecchia L. Systematic literature review and meta-analysis: The case of medical devices and medical locations. Clinical Engineering Handbook 2020 (pp. 821-828). Academic Press.
    3. Frize M, Easty A, Polisena J, Trbovich P, Iadanza E, Pecchia L. Patient safety revisited. In Clinical Engineering Handbook 2020 (pp. 330-334). Academic Press.
    4. Castaldo R, Federici C, Pecchia L. Early stage healthcare technology assessment. In Clinical Engineering Handbook 2020 (pp. 799-806). Academic Press.
    5. Pecchia L, Piaggio D, Pallikarakis N, Iadanza E. Health technology assessment teaching for BME. In Clinical Engineering Handbook 2020 (pp. 832-835). Academic Press.
    6. Ritrovato M., Andellini M., di Mauro R. Hospital based health technology Assessment. In Clinical Engineering Handbook 2020 (pp. 812-817). Academic Press.

2019

  • Journal
    1. Castaldo R., Montesinos L., Melillo P., James C. and Pecchia L. Ultra-short term HRV features as surrogates of short term HRV: a case study on mental stress detection in real life. BMC Medical Informatics and Decision Making. 2019; 19:12
    2. Bracale, U., Melillo, P., Piaggio, D., Pecchia, L., Cuccurullo, D., Milone, M., ... & Stabilini, C. (2019). Is Shouldice the best NON-MESH inguinal hernia repair technique? A systematic review and network metanalysis of randomized controlled trials comparing Shouldice and Desarda. International Journal of Surgery. International Journal of Surgery. 2019; 62: 12-21.
    3. Medenou, D., Fagbemi, L. A., Houessouvo, R. C., Jossou, T. R., Ahouandjinou, M. H., Piaggio, D., ... & Pecchia, L. Medical devices in Sub-Saharan Africa: optimal assistance via a computerized maintenance management system (CMMS) in Benin. Health and Technology. 2019; 1-14.
    4. Pecchia L. , Pallikarakis N., Magjarevi膰 R., Iadanza E. Health Technology Assessment and Biomedical Engineering: global trends, gaps and opportunities. Medical Engineering & Physics. 2019; 72: 19-26
    5. Badnjevi膰 A, Pokvi膰 LG, Hasi膷i膰 M, Bandi膰 L, Ma拧eti膰 Z, Kova膷evi膰 沤, Kevri膰 J, Pecchia L. Evidence-based clinical engineering: machine learning algorithms for prediction of defibrillator performance. Biomedical Signal Processing and Control. 2019;54:101629.

    6. Iadanza, E., Pennati, D., Manetti, L., Bocchi, L., Gherardelli, M. FMECA Design Analysis: Risk Management for the Manufacture of a CBCT Scanner (2019) IEEE Access, 7, art. no. 8933456, pp. 181546-181564.

    7. Massaro S., Pecchia L. Heart Rate Variability (HRV) Analysis: A Methodology for Organizational Neuroscience. Organizational Research Methods. 2019; 22(1): 354-393,  
  • Book Chapters
    1. Iadanza, E., Luschi, A. Computer-aided facilities management in health care (2019) Clinical Engineering Handbook, Second Edition, pp. 42-51.
    2. Camacho-Cogollo, J.E., Bonet, I., Iadanza, E. RFID technology in health care (2019) Clinical Engineering Handbook, Second Edition, pp. 33-41.

    3. Iadanza, E. Clinical engineering (2019) Clinical Engineering Handbook, Second Edition, pp. 3-6.

    4. Cecchini, C., Iadanza, E. Clinical engineering in Italy (2019) Clinical Engineering Handbook, Second Edition, pp. 128-131.

    5. Frize, M., Easty, A., Polisena, J., Trbovich, P., Iadanza, E., Pecchia, L. Patient safety revisited (2019) Clinical Engineering Handbook, Second Edition, pp. 330-334.

    6. Pecchia, L., Piaggio, D., Pallikarakis, N., Iadanza, E. Health technology assessment teaching for BME (2019) Clinical Engineering Handbook, Second Edition, pp. 832-835.

2018

  • Journal
    1. Montesinos L., Castaldo R., Pecchia L. (2018). On the use of approximate entropy and sample entropy with centre of pressure time-series. Journal of NeuroEngineering and Rehabilitation, 15(1), 116
    2. Montesinos L, Castaldo R, Cappuccio FP, Pecchia L (2018) Day-to-day variations in sleep quality affect standing balance in healthy adults, Scientific Reports, 8(1).
    3. Medenou D., Fagbemi L.A., Houessouvo R.C., Jossou T.R., Ahouandjinou M.H., Piaggio D, Kinnouezan C.D.A., Monteiro G.A., Idrissou M.A.Y., Pecchia L, (Accepted Nov 2018) Medical Devices in Sub-Saharan Africa: optimal assistance via a Computerized Maintenance Management System (CMMS) in Benin, Health and Technology.
    4. Polisena J, Castaldo R, Ciani O, Federici C, Borsci S, Ritrovato M, Clark D, and Pecchia L (2018). "HTA Guidelines for Medical Devices: How can We Address the Gaps? The International Federation of Medical and Biological Engineering Perspective", International Journal of Technology Assessment in Healthcare. 34(3), pp. 276-289. https://doi.org/10.1017/S0266462318000314
    5. Montesinos, L., Castaldo, R., Pecchia, L., (2018) Wearable Inertial Sensors for Fall Risk Assessment and Prediction in Older Adults: A Systematic Review and Meta-Analysis. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 26(3), DOI:10.1109/TNSRE.2017.2771383, pp: 573 - 582
    6. Pecchia, L., Castaldo, R., Montesinos, L., & Melillo, P. (2018). Are ultra-short Heart Rate Variability features good surrogates of short term ones? State-of-the-art review and recommendations. Healthcare Technology Letters. 2018 Jun; 5(3): 94–100. Doi: 10.1049/htl.2017.0090
    7. Pirc, E., Pecchia, L., Reber拧ek, M., Ser拧a, G., Snoj, M., Gro拧elj, A., & Miklvav膷i膷, D. (2018). Study design of a medical device pre-market assessment: a case study on electrochemotherapy. Slovenian Medical Journal, 87(1-2).
  • Conferences
    1. Castaldo, R., Montesinos, L., and Pecchia, L. (2018). Ultra-short Entropy for mental stress detection. In World Congress on Medical Physics and Biomedical Engineering, June 3-8, 2018, Prague, Czech Republic (Accepted March 2018)
    2. Montesinos, L., Castaldo, R., and Pecchia, L. (2018). Selection of entropy-measure parameters for force plate-based human balance evaluation. In World Congress on Medical Physics and Biomedical Engineering, June 3-8, 2018, Prague, Czech Republic(Accepted March 2018)
    3. Porumb M., Castaldo, R., and Pecchia, L. (2018). Estimation of the heart rate variability features via Recurrent Neural Networks. In World Congress on Medical Physics and Biomedical Engineering, June 3-8, 2018, Prague, Czech Republic (Accepted March 2018)
  • WHO Global Forum on Medical Devices
    1. M Conto, L Pecchia, O Ciani, N Pallikarakis, J Polisena, The International Federation of Medical and Biological Engineering (IFMBE) recommendations for HTA Methods Guidelines for Medical Devices: An In-Depth Dialogue, Fourth WHO Global Forum on Medical Devices, AMTZ-Kalam Convention Centre, Visakhapatnam, India, 13-15 December 2018. Geneva: World Health Organization; 2019 (WHO/MVP/EMP/2019.04). Available at:
    2. L Pecchia, N Pallikarakis, M Conto, J Polisena, E Iadanza, The Health Technology Assessment Division (HTAD) of the International Federation for Medical and Biological Engineering (IFMBE): the crucial role of biomedical engineers, Fourth WHO Global Forum on Medical Devices, AMTZ-Kalam Convention Centre, Visakhapatnam, India, 13-15 December 2018. Geneva: World Health Organization; 2019 (WHO/MVP/EMP/2019.04). Available at:
    3. L Pecchia, A Hussein, A Badnjevic, C De Maria, 3D printing, 鈥�artificial intelligence and design of medical devices for low resource settings鈥�, Fourth WHO Global Forum on Medical Devices, AMTZ-Kalam Convention Centre, Visakhapatnam, India, 13-15 December 2018. Geneva: World Health Organization; 2019 (WHO/MVP/EMP/2019.04).Available at:
    4. L Pecchia, J Polisena, AM Pavlock, ISPOR International Initiatives on the Assessment of the Value of Medical Technologies, Fourth WHO Global Forum on Medical Devices, AMTZ-Kalam Convention Centre, Visakhapatnam, India, 13-15 December 2018. Geneva: World Health Organization; 2019 (WHO/MVP/EMP/2019.04).Available at:
    5. L Pecchia, A Hussein, N. Pallikarakis, N Caputo, Harmonising medical device and medical location policies among Africa and Europe, Fourth WHO Global Forum on Medical Devices, AMTZ-Kalam Convention Centre, Visakhapatnam, India, 13-15 December 2018. Geneva: World Health Organization; 2019 (WHO/MVP/EMP/2019.04). Available at:
    6. S Bergamasco, D Williams, L Pecchia, A Hussein, Extending the lifespan of donated medical devices, Fourth WHO Global Forum on Medical Devices, AMTZ-Kalam Convention Centre, Visakhapatnam, India, 13-15 December 2018. Geneva: World Health Organization; 2019 (WHO/MVP/EMP/2019.04). Available at:
    7. L Pecchia, A Hussein, D Medenou, R Houessouvo, D Piaggio, A Maccaro 鈥淒esign, assessment and maintenance of medical devices resilience to Sub Saharan Africa (SSA) working conditions: the 糖心TV experience鈥�, Fourth WHO Global Forum on Medical Devices, AMTZ-Kalam Convention Centre, Visakhapatnam, India, 13-15 December 2018. Geneva: World Health Organization; 2019 (WHO/MVP/EMP/2019.04). Available at:

2017

  • Journal
    1. Castaldo, R., Melillo, P., Izzo, R., De Luca, N., & Pecchia, L. (2017). Fall prediction in hypertensive patients via short-term HRV Analysis. IEEE journal of biomedical and health informatics, 21(2), 399-406.
    2. Melillo, P., Orrico, A., Chirico, F., Pecchia, L., Rossi, S., Testa, F., & Simonelli, F. (2017). Identifying fallers among ophthalmic patients using classification tree methodology. PLoS one, 12(3), e0174083.
    3. Bracale, U., Sciuto, A., Andreuccetti, J., Merola, G., Pecchia, L., Melillo, P., & Pignata, G. (2017). Laparoscopic recurrent inguinal hernia repair during the learning curve: it can be done?. Annali italiani di chirurgia, 88, 62.
  • Conferences
    1. Montesinos, L., Castaldo, R., Piaggio, D., & Pecchia, L. (2017). Day-to-day variation in sleep quality and static balance: results from an exploratory study. In EMBEC & NBC 2017 (pp. 611-614). Springer, Singapore.
    2. Castaldo, R., Montesinos, L., Wan, T. S., Serban, A., Massaro, S., & Pecchia, L. (2017). Heart Rate Variability Analysis and Performance during a Repeated Mental Workload Task. In EMBEC & NBC 2017 (pp. 69-72). Springer, Singapore.
    3. Castaldo, R., Montesinos, L., Melillo, P., Massaro, S., & Pecchia, L. (2017). To What Extent Can We Shorten HRV Analysis in Wearable Sensing? A Case Study on Mental Stress Detection. In EMBEC & NBC 2017 (pp. 643-646). Springer, Singapore.
    4. Pecchia, L. (2017). Health Technology Assessment of Medical Devices in Low and Middle Income Countries: study design and preliminary results. In EMBEC & NBC 2017 (pp. 225-228). Springer, Singapore.
    5. Ciani, O., Federici, C., & Pecchia, L. (2017). The evaluation of medical devices: are we getting closer to solve the puzzle? A review of recent trends. In EMBEC & NBC 2017 (pp. 916-919). Springer, Singapore.
    6. Pirc, E., Pecchia, L., Ser拧a, G., Snoj, M., Gro拧elj, A., Reber拧ek, M., & Miklav膷i膷, D. (2017). Early stage Health Technology Assessment of Electrochemotherapy of skin-directed therapy for skin melanoma and Basal Cell Carcinoma. In EMBEC & NBC 2017 (pp. 727-730). Springer, Singapore.
    7. Badnjevic, Almir, et al. "Pre-classification process symptom questionnaire based on fuzzy logic for pulmonary function test cost reduction." CMBEBIH 2017. Springer, Singapore, 2017. 608-616.
    8. Pallikarakis, N., Magjarevic, R., Pecchia, L., & Dermitzakis, A. (2017). Biomedical Engineering Education: Need for Harmonisation. In EMBEC & NBC 2017 (pp. 888-891). Springer, Singapore.

2016

  • Organizational Neuroscience:
    1. Massaro, Sebastiano, and Leandro Pecchia. "Heart rate variability (HRV) analysis: A methodology for organizational neuroscience." Organizational Research Methods (2016): 1094428116681072..
  • Mental Stress Detection:
    1. R. Castaldo, W. Xu, P. Melillo, and L. Pecchia, Detection of Mental Stress due to Oral Academic Examination via Ultra-short-term HRV Analysis, submitted at the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, USA, 2016.
  • Healthcare Technology Assessment (HTA), MCDA and User Need elicitation to inform medical device design and policy:
    1. Pecchia L, Castaldo R, Melillo P, Bracale U, Craven M, Bracale M, Early Stage Healthcare Technology Assessment, in Miniati, Iadanza, Dori,"Clinical Engineering: From Devices to Systems", Elsevier, ISBN:978012803767.
    2. Borsci, S., Kuljis, J., Barnett, J., & Pecchia, L. (2016). Beyond the user preferences: Aligning the prototype design to the users鈥� expectations. Human Factors and Ergonomics in Manufacturing & Service Industries, 26(1), 16-39.
    3. Meccariello, P., Castaldo, R., Montesinos, L., Guglielmelli, E., & Pecchia, L. (2016). A Matlab Tool to Support Systematic Literature Review with Meta-Analysis. In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 (pp. 994-996). Springer International Publishing.
    4. Castaldo, R., & Pecchia, L. (2016). Preliminary Results from a Proof of Concept Study for Fall Detection via ECG Morphology. In XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 (pp. 205-208). Springer International Publishing.

2015

  • Prediction of Falls in the elderly:
    1. Sannino G, Melillo P, De Pietro G, Stranges S, Pecchia L, (2015) 鈥淪hort term heart rate variability to predict blood pressure drops due to standing: a pilot study鈥�, BMC Medical Informatics and Decision Making, 2015, 15(S3):S2 doi:10.1186/1472-6947-15-S3-S2
    2. Melillo P, Jovic A, De Luca N and Pecchia L (2015) "An automatic classifier based on heart rate variability to identify fallers among hypertensive subjects", IET Healthcare Technology Letters, 2 (4): p 89-94, DOI: 10.1049/htl.2015.0012
    3. Sannino G, Melillo P, De Pietro G, Stranges S, Pecchia L, (2015) "Blood Pressure Drop Prediction by using HRV measurements in Orthostatic Hypotension", Journal of Medical Systems, 39(11):292 DOI: 10.1007/s10916-015-0292-5
  • HTA, MCDA and User Need elicitation to inform medicaol device design and policy:
    1. G. Fico, E. Gaeta, M.T. Arredondo and L. Pecchia, (2015) Analytic Hierarchy Process to define the most important factors and related technologies for empowering elderly people in taking an active role in their health, Journal of Medical Systems, 39(9) (2015): 1-7.
    2. A Petrillo, F De Felice, C Vanzanella, F Crispino, J Martin, S Morgan, M Craven, L Pecchia, "Government Policy and Health Care management: proposal of a shared decision-making model", 2015, International Journal of Management and Decision Making, 14(3), 183-204.
  • Cardiovascular Risk Assessment:
    1. P. Melillo, R. Izzo, A. Orrico, P. Scala, M. Attanasio, M. Mirra, N. De Luca, L. Pecchia (2015) "Automatic prediction of cardiovascular and cerebrovascular events using Heart Rate Variability analysis", PloS one, 10(3): e0118504.
  • Mental wellbeing
    1. Castaldo, R, MelilloP, Bracale U, Caserta M, Triassi M, Pecchia L 鈥淢ental stress and HRV: systematic review with meta-analysis鈥�, Biomedical Signal Processing and Control (2015), Volume 18, April 2015, Pages 370–377.

Let us know you agree to cookies

We use cookies to give you the best online experience. Please let us know if you agree to functional, advertising and performance cookies. You can update your cookie preferences at any time.

Cookie policy