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Professor Leandro Pecchia

Leandro Pecchia

Professor Leandro Pecchia

Professor of Biomedical Engineering 
Director for the Applied Biomedical Signal Processing and Intelligent eHealth Lab

Director of Studies for the MSc in Biomedical Engineering 

L dot Pecchia at warwick dot ac dot uk
+44 (0) 24 7657 3383

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Prof Leandro Pecchia graduated in Biomedical Engineering in 2005 and received the PhD in Biomedical Engineering and Management of Healthcare Services in 2009 at the University “Federico II” of Naples. Since 2013, he joined The University of Warwick, UK, where he is Reader of Biomedical Engineering. Since 2014, he directs the Applied Biomedical Signal Processing and Intelligent eHealth Lab (ABSPIE). Dr Pecchia authored more than 100 peer-reviewed papers on journals, books and conferences in the fields of Health Technology Assessment (HTA), Internet of Things and machine learning applied to active and healthy ageing and management of chronic diseases.

Since November 2020, Prof Pecchia is supporting the WHO as Innovation Manager for the PPE pillar of the COVID-19 Blueprint programme.

Prof Pecchia is President of the EAMBES, Secretary General of the IUPESM, Treasurer of the IFMBE Clinical Engineering Division (CED), and former IFMBE Healthcare Technology Assessment Division (IFMBE HTAD) Chair (2015-18) and Treasurer (2012-15).

Research Interests

  • Medical Device design, manufacturing, assessment and maintenance: Need assessment; Medical device regulatory sciences; risk assessment, clearance and certification; HTA, pricing and procurement of medical devices; Medical device maintenance.
  • Artificial Intelligence (AI), machine learning and biomedical signals and data: using wearable sensors and AI methods we observe combination of biosignals reflecting both cardiovascular and nervous system statuses (e.g., HRV, ECG, GSR, temperature, physical activity etc.) and studying how their changes can be used for early detection or prediction of severe events associated to Congestive Hearth Failure (CHF), hypertension, diabetes, cancer, eye diseases, pneumonia, and mental stress..
  • Health Technology Assessment (HTA): Evaluation methods for healthcare technologies (including drugs, devices, surgical techniques, medical procedures, healthcare processes); Analytic need analysis and quantification of expert knowledge; Clinical outcome assessment and systematic literature review: network meta-analysis; Risk Assessment for Falls in Elderly.
  • Telemedicine: Design, development and assessment of platform for the continuity of care of patients suffering from chronic diseases; Design, development and assessment of Point of Care; HTA of Telemedicine; Stress assessment of family caregiver during Home Monitoring programs; Home Monitoring vs Disease Management Programs: the independent value of ICT to health.

Teaching Interests

The application of Systems thinking perspectives to the impact of healthcare on people, processes, information and organisations

Selected Publications

Journal papers published in 2024

  1. Haleem, M. S., Castaldo R, MArtina A., Cisuelo O., Pecchia L, A Self-Attention Deep Neural Network Regressor for Real Time Blood Glucose Estimation in Paediatric Population using Physiological Signals, Biomedical Signal Processing and Controll (accepted)
  2. Oronti, I. B. Iadanza, E. Pecchia, L. Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review, in IEEE Reviews in Biomedical Engineering, vol. 17, pp. 197-211, 2024,
  3. Marius Vignigbé, Alessia Maccaro, Pedro Checa Rifà, Davide Piaggio & Leandro Pecchia (2024) Précaution ou prévention? Des responsabilités de la politique et de la société pendant la gestion de la pandémie de COVID-19 au Bénin, Canadian Journal of Development Studies / Revue canadienne d'études du développement,
  4. Di Bidino R, Piaggio D, Iadanza E, et al. OP115 Scoping Meta-Review On Methods Used To Assess Artificial Intelligence-Based Medical Devices For Heart Failure. International Journal of Technology Assessment in Health Care. 2023;39(S1):S32-S32.
  5. Davide Piaggio, Rossana Castaldo, Gianluca Garibizzo, Ernesto Iadanza, Leandro Pecchia, A smartphone-based tool for screening diabetic neuropathies: A mHealth and 3D printing approach, Biomedical Signal Processing and Control, Volume 89, 2024, 105807, ISSN 1746-8094, 

Journal papers published in 2023

  1. Peschke, L., Gyftopoulos, S., Kapusuzoğlu, A. Folkvord, F. Gümüş Ağca, Y. Kaldoudi, E. Drosatos, G. Başak Ceylan, N. Pecchia, L. Güneş Peschke, S. Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic. J Knowl Econ (2023).

  2. Di Bidino, R.; Piaggio, D.; Andellini, M.; Merino-Barbancho, B.; Lopez-Perez, L.; Zhu, T.; Raza, Z.; Ni, M.; Morrison, A.; Borsci, S.; Fico, G.; Pecchia, L.; Iadanza, E. Scoping Meta-Review of Methods Used to Assess Artificial Intelligence-Based Medical Devices for Heart Failure. Bioengineering 2023, 10, 1109.

  3. 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. Healthcare 2023, 11, 2572.

    Gyftopoulos, S., Drosatos, G., Pecchia, L., Fico, G., Kaldoudi, E. (2024). Interaction Between Pharmaceutical Companies and the Public During the COVID-19 Pandemic—A Twitter Analysis. In: Badnjević, A., Gurbeta Pokvić, L. (eds) MEDICON’23 and CMBEBIH’23. MEDICON CMBEBIH 2023 2023. IFMBE Proceedings, vol 93. Springer, Cham.

  4. Bini, F., Franzò, 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 Technol. 13, 831–842 (2023).

  5. Maccaro, A., Pagliara, S.M., Zarro, M. Piaggio, D. Abdulsalami, F. Su, W. Haleem, M. S. Pecchia, L. Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support. Sci Rep 13, 14322 (2023).

  6. Mazzeo, L., Boscarino, T., Falasconi, M. B., Polvi, S., Piemonte, V., & Pecchia, L. (2023). Zeolite Synthesis from Waste Materials for the Medical Field of Oxygen Concentrators: Focus on the African Scenario. Chemical Engineering Transactions, 101, 163-168.

  7. Oronti, I. B., Lopez-Perez, L., Piaggio, D., Fico, G., & Pecchia, L. (2023). Effects of home telemonitoring using non-invasive versus conventional approaches on patients affected by congestive heart failure: a systematic literature review and meta-analysis. Health and Technology, 1-21.
  8. Haleem, M. S., Ekuban, A., Antonini, A., Pagliara, S., Pecchia, L., & Allocca, C. (2023). Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis. Electronics, 12(9), 1989.
  9. Cisuelo, O., Stokes, K., Oronti, I. B., Haleem, M. S., Barber, T. M., Weickert, M. O., ... Pecchia, L & Hattersley, J. (2023). 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. BMJ open, 13(4), e067899. opens in a new window
  10. Iadanza, E., Pasqua, G., Piaggio, D., Caputo, C., Gherardelli, M., & Pecchia, L. (2023). A robotic arm for safe and accurate control of biomedical equipment during COVID-19. Health and Technology, 13(2), 285-300.
  11. Gandah, S., Chiurazzi, M., Domina, I., Dei, N. N., Spreafico, G., di Luzio, F. S., ... Pecchia, L. & Ciuti, G. (2023). An Integrated Sensorized Platform for Environmental Monitoring in Healthcare. IEEE Sensors Letters.
  12. de Batlle, J., Benítez, I. D., Moncusí-Moix, A., Androutsos, O., Angles Barbastro, R., Antonini, A., ... Pecchia, L & Fico, G. (2023). GATEKEEPER’s Strategy for the Multinational Large-Scale Piloting of an eHealth Platform: Tutorial on How to Identify Relevant Settings and Use Cases. Journal of Medical Internet Research, 25, e42187.
  13. Piaggio, D., Zarro, M., Pagliara, S., Andellini, M., Almuhini, A., Maccaro, A., & Pecchia, L. (2023). The use of Smart Environments and Robots for Infection Prevention Control: a systematic literature review. American Journal of Infection Control. opens in a new window
  14. Luschi, A., Petraccone, C., Fico, G., Pecchia, L., & Iadanza, E. (2023). Semantic ontologies for complex healthcare structures: a scoping review. IEEE Access.
  15. Fernandez-Cervantes, E., Montesinos, L., Gonzalez-Nucamendi, A., & Pecchia, L. (2023). Recurrence quantification analysis of center of pressure trajectories for balance and fall-risk assessment in young and older adults. IEEE transactions on neural systems and rehabilitation engineering, 31, 926-935.
  16. Andellini, M., Haleem, S., Angelini, M., Ritrovato, M., Schiaffini, R., Iadanza, E., & Pecchia, L. (2023). Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol. Health and Technology, 13(1), 145-154.

Journal papers published in 2022

  1. Moon M, Pecchia L, Velazquez Berumen A, Baller A (2022) Personal protective equipment research and innovation in the context of the World Health Organization COVID-19 R&D Blueprint program, Vol. 50(8): 839-843, Aug 01, 2022, opens in a new window
  2. Facciorusso, A., Kovacevic, B., Yang, D., Vilas-Boas, F., Martínez-Moreno, B., Stigliano, S., ... Pecchia, L. & Crinò, S. F. (2022). Predictors of adverse events after endoscopic ultrasound-guided through-the-needle biopsy of pancreatic cysts: A recursive partitioning analysis. Endoscopy, 54(12), 1158-1168.
  3. Federici, C., & Pecchia, L. (2022). Exploring the misalignment on the value of further research between payers and manufacturers. A case study on a novel total artificial heart. Health Economics, 31, 98-115.
  4. Maccaro, A., Piaggio, D., Leesurakarn, S., Husen, N., Sekalala, S., Rai, S., & Pecchia, L. (2022). On the universality of medical device regulations: the case of Benin. BMC Health Services Research, 22(1), 1-14. opens in a new window
  5. Maccaro A., Piaggio D., Vignigbé M., Singl A., Pecchia L., COVID-19 preparedness and social dynamics in a Sub-Saharan Africa country, Benin, Health Promotion International, 2022, 37: 1-12.
  6. Maccaro A., Piaggio D. , Oronti I. B. , Vignigbé M. , Gbokli A., Hougnihin R., Pecchia L, 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, Frontiers in Medicine, 9:857890 opens in a new window
  7. Facciorusso, A., Kovacevic, B., Yang, D., Vilas-Boas, F., Martínez, B., Stigliano, S., ...Pecchia L.,... & Crinó, 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, opens in a new window
  8. De Maria, C., Díaz Lantada, A., Jämsä, T., Pecchia L, Ahluwaliaet A. (2022) Biomedical engineering in low- and middle-income settings: analysis of current state, challenges and best practices. Health Technol. opens in a new window
  9. 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. opens in a new window
  10. 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). opens in a new window
  11. 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.
  12. 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.
  13. 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. 
  14. 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, opens in a new window
  15. 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 “Systemic Clinical Risk Management” Proposal in the Perspective of the Ethics of Job Well Done. International Journal of Environmental Research and Public Health, 19(1), 15.

Journal papers published in 2021

  1. 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. 
  2. 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.
  3. 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 opens in a new window
  4. 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  (2021), Biocybernetics and Biomedical Engineering, Vol 41, issue 4: 1288-1302; opens in a new window
  5. 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; opens in a new window
  6. 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,
  7. 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, opens in a new window
  8. 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), opens in a new window
  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, opens in a new window
  10. Maccaro A, Piaggio D., Pagliara S., Pecchia L, (2021), The role of ethics in science: a systematic literature review from the first wave of COVID-19, Health and Technology, Link opens in a new window
  11. Martinez-Ríosa E, Montesinosa L, Alfaro-Poncea M, Pecchia L ( 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 , opens in a new window

  12. Dimauro G, Bevilacqua V, Pecchia L (2021), Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare, Electronics, 10(11), 1242. opens in a new window
  13. Komarzynski S, Wreglesworth N I, Griffiths D, Pecchia L, Subbe C P, Hughes S F, Davies E H., Innominato P 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 : 216-220.
  14. 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), opens in a new window
  15. Castaldo R., Chappell M. J., Byrne H., Innominato P. F., Hughes S., Pescapè 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, opens in a new window

Journal papers published in 2020

  1. 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. ViewLink opens in a new window
  2. Porumb, Mihaela, Iadanza, Ernesto, Massaro, Sebastiano, Pecchia, Leandro (2020) A convolutional neural network approach to detect congestive heart failure. Biomedical Signal Processing and Control, 55, View
  3. Porumb, Mihaela, Stranges, Saverio, Pescapà¨, Antonio, Pecchia, Leandro (2020) Precision medicine and artificial intelligence : a pilot study on deep learning for hypoglycemic events detection based on ECG. Scientific Reports, 10 (1), View
  4. Pecchia L, Piaggio D, Maccaro A, Formisano C, Iadanza E. (2020) The inadequacy of regulatory frameworks in time of crisis and in low-resource settings: personal protective equipment and COVID-19, Health and Technology, 2020, ViewLink opens in a new window
  5. Iadanza E, Goretti F, Sorelli M, Melillo P, Pecchia L, Simonelli F, Gerardelli M (2020), “Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry”, IEEE Access, 8(1):34949-34961, ViewLink opens in a new window
  6. Medenou M, Ahouandjinou M.H., Piaggio D., Houessouvo R.C., Pecchia L, Jossou T.R, (2020) New intelligent network approach for monitoring physiological parameters: the case of Benin, Health and Technology,, ViewLink opens in a new window
  7. Marano S., Marano M., Pecchia L., Frontiers in Hemodialysis Part II: Toward Personalized and Optimized Therapy, Biomedical Signal Processing and Control, (2020), Vol. 61,
  8. Di Pietro L, Piaggio D, Oronti I, Maccaro A, Houessouvo RC , Medenou D, De Maria C, Pecchia L, Ahluwalia A. (2020) “A framework for assessing healthcare facilities in low-resource settings: field studies in Benin and Uganda”, Journal of Medical and Biological Engineering,, Vol. 40, opens in a new window
  9. Pirc E, Federici C, Bošnjak M, Perić B, Reberšek M, Pecchia L., et al. (2020), “Early cost-effectiveness analysis of electrochemotherapy as a prospect treatment modality for skin melanoma”, Clinical Therapeutics, Vol 42 (8), opens in a new window
  10. Porumb M., Corbin G, Hatterslay J, Pecchia L. (2020) "Nocturnal Low Glucose Detection in Healthy, Elderly from one-lead ECG using Convolutional Denoising Autoencoders", Biomedical Signal Processing and Control, Vol. 56, opens in a new window
  11. Andellini M., Nocchi F., De Santis S., Bassanelli E.,Ritrovato M, Pecchia L. (2020) 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, opens in a new window
  12. Merola, G., Sciuto, A., Pirozzi, F., Andreuccetti, J., Pignata, G., Corcione, F., ... Pecchia L. & Ceccarelli, G. (2020). Is robotic right colectomy economically sustainable? a multicentre retrospective comparative study and cost analysis. Surgical Endoscopy, Vol 34 (9): 4041-4047. opens in a new window

Projects and Grants

  • Leveraging AI based technology to transform the future of health care delivery in Leading Hospitals in Europe (ODIN), Funded by: H2020 , Smart Hosptial and AI call (H2020-DT-2020-1), Project Start Date 01-03-2021 - Project End Date 31-08-2024
  • Nocturnal Hypoglycaemia detection via ECG and Artificial Intelligence in diabetic patients, Funded by: Wellcome Trust Translational Partnership, Project Start Date 01-06-2020 - Project End Date 31-03-2022
  • GATEKEEPER: Smart living homes – whole interventions demonstrator for people at health and social risks, Funded by: Horizon2020, Project Start Date 01-10-2019 - Project End Date 31-03-2023 Link
  • HTA of medical devices relying on AI algorithms, Funded by: private funding , Project Start Date 01-05-2021 - Project End Date 31-12-2021
  • Hypoglycaemia detection via ECG and Artificial Intelligence in diabetic patients, Funded by: EPSRC IAA, Project Start Date 01-08-2020 - Project End Date 31-12-2021


  • Covid-19 pandemic Social and Healthcare dynamic impact in Benin, Funded by: Warwick Global Research Priority on Health and Technology, Project Start Date 01-05-2020 - Project End Date 31-12-2020

  • EPSRC Cyclops Grand Challenge Workshop, Funded by: EPSRC, Project Start Date 01-05-2018 - Project End Date 31-07-2019
  • Supporting the harmonisation of regulations on medical devices and medical locations among Sub-Saharan African Regions and Europe, Funded by: CGRF, Project Start Date 03-09-2018 - Project End Date 31-03-2020
  • Health Technology Assessment of Medical Devices in low and middle income countries, Funded by: EPSRC IAA, Project Start Date 01-03-2017 - Project End Date 31-03-2020
  • European network for innovative uses of EMFs in biomedical applications (EMF-MED) Action BM1309 Funded by: European Cooperation in Science and Technology (COST), Project Start Date 15-11-2013 - Project End Date 14-11-2017
  • Sleep quality, Centre-of-Pressure sway and standing hypotension to estimate the risk of falling and predict accidental falls, Funded by: Royal Society, Project Start Date 10-03-2015 - Project End Date 09-03-2016

International Appointments

  • Chairman (2015-2018) of the Health Technology Assessment Division of the International Federation of Medical and Biological Society (IFMBELink opens in a new window)