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ABSPIE publications

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


Selected Publications

2022

  • Journal
  1. 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, https://doi.org/10.1055/s-0042-1744769Link opens in a new windowLink opens in a new window
  2. 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 Technolhttps://doi.org/10.1007/s12553-022-00657-8Link opens in a new windowLink opens in a new window
  3. 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. https://doi.org/10.1136/bmjopen-2021-058840Link opens in a new windowLink opens in a new window
  4. 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)https://doi.org/10.1109/JBHI.2022.3155367Link opens in a new windowLink opens in a new window
  5. 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 Sciences12(4), 1776. https://doi.org/10.3390/app12041776
  6. 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 Health25(1), S70. https://doi.org/10.1016/j.jval.2021.11.325
  7. 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) 100094https://doi.org/10.1016/j.deveng.2022.100094 
  8. 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. https://doi.org/10.1016/j.deveng.2022.100094 
  9. 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, https://doi.org/10.1016/j.bspc.2021.103325Link opens in a new window
  10. 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. https://doi.org/10.3390/ijerph19010015

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 https://doi.org/10.1186/s12910-021-00697-1Link opens in a new window
  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  (2021), Biocybernetics and Biomedical Engineering, Vol 41, issue 4: 1288-1302; https://doi.org/10.1016/j.bbe.2021.09.002Link opens in a new window
  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; https://doi.org/10.3390/jcm10184066Link opens in a new window
  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. viewLink opens in a new window
  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. viewLink opens in a new window
  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. viewLink opens in a new window
  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. viewLink 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, 41 (3), pp. 891-902. ViewLink opens in a new window
  10. Martinez-Ríosa 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), viewLink opens in a new window
  11. Dimauro G, Bevilacqua V, Pecchia L (2021), Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare, Electronics, 10(11), 1242. ViewLink opens in a new window
  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, viewLink opens in a new window
  13. 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. View
  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), ViewLink opens in a new window
  15. 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. ViewLink opens in a new window

  16. 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. ViewLink opens in a new window

  17. 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, ViewLink opens in a new window
  18. 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
  19. 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. ViewLink opens in a new window

  20. 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. ViewLink opens in a new window 
  21. 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, ViewLink opens in a new window 
  22. 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, ViewLink opens in a new window 
  23. 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), ViewLink opens in a new window 

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., Pescapè 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.ViewLink opens in a new window
    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.ViewLink opens in a new window
    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. View

    7. Porumb, M, Stranges, S., Pescapà¨, 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), View

    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. ViewLink opens in a new window

    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, ViewLink opens in a new window

    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. ViewLink opens in a new window

    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. ViewLink opens in a new window

    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. ViewLink opens in a new window

    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. ViewLink opens in a new window

    14. Iadanza, E., Fabbri, R., Bašić-ČiČak, D., Amedei, A., Telalovic, J.H. Gut microbiota and artificial intelligence approaches: A scoping review (2020) Health and Technology, 10 (6), pp. 1343-1358. ViewLink opens in a new window

    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, ViewLink opens in a new window

    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.ViewLink opens in a new window

    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.ViewLink opens in a new window

    18. Pirc E, Federici C, Bošnjak M, Perić B, Reberšek 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.ViewLink opens in a new window

    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.ViewLink opens in a new window

    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. ViewLink opens in a new window

  • Book Chapters
    1. Pecchia L, Piaggio D. Evidence generation in medicine. In Clinical Engineering Handbook 2020 (pp. 818-820). Academic Press. ViewLink opens in a new window
    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. ViewLink opens in a new window
    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. ViewLink opens in a new window
    4. Castaldo R, Federici C, Pecchia L. Early stage healthcare technology assessment. In Clinical Engineering Handbook 2020 (pp. 799-806). Academic Press. ViewLink opens in a new window
    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. ViewLink opens in a new window
    6. Ritrovato M., Andellini M., di Mauro R. Hospital based health technology Assessment. In Clinical Engineering Handbook 2020 (pp. 812-817). Academic Press. ViewLink opens in a new window

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 https://rdcu.be/bhojtLink opens in a new window
    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. doi:10.1016/j.ijsu.2019.01.001Link opens in a new window
    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. doi: 10.1007/s12553-018-00283-3Link opens in a new window
    4. Pecchia L. , Pallikarakis N., Magjarević R., Iadanza E. Health Technology Assessment and Biomedical Engineering: global trends, gaps and opportunities. Medical Engineering & Physics. 2019; 72: 19-26 https://doi.org/10.1016/j.medengphy.2019.08.008Link opens in a new window
    5. Badnjević A, Pokvić LG, Hasičić M, Bandić L, Mašetić Z, Kovačević Ž, Kevrić J, Pecchia L. Evidence-based clinical engineering: machine learning algorithms for prediction of defibrillator performance. Biomedical Signal Processing and Control. 2019;54:101629. https://doi.org/10.1016/j.bspc.2019.101629Link opens in a new window
    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. ViewLink opens in a new window

    7. Massaro S., Pecchia L. Heart Rate Variability (HRV) Analysis: A Methodology for Organizational Neuroscience. Organizational Research Methods. 2019; 22(1): 354-393, https://doi.org/10.1177/1094428116681072 
  • Book Chapters
    1. Iadanza, E., Luschi, A. Computer-aided facilities management in health care (2019) Clinical Engineering Handbook, Second Edition, pp. 42-51. ViewLink opens in a new window
    2. Camacho-Cogollo, J.E., Bonet, I., Iadanza, E. RFID technology in health care (2019) Clinical Engineering Handbook, Second Edition, pp. 33-41. ViewLink opens in a new window
    3. Iadanza, E. Clinical engineering (2019) Clinical Engineering Handbook, Second Edition, pp. 3-6. ViewLink opens in a new window

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

    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. ViewLink opens in a new window

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

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 LinkLink opens in a new window
    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). https://www.nature.com/articles/s41598-018-36053-4Link opens in a new window
    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 LinkLink opens in a new window
    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 linkLink opens in a new window
    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 linkLink opens in a new window
    7. Pirc, E., Pecchia, L., Reberšek, M., Serša, G., Snoj, M., Grošelj, A., & Miklvavčič, 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: https://www.who.int/medical_devices/publications/4th_global-forum_med_dev/en/
    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: https://www.who.int/medical_devices/publications/4th_global-forum_med_dev/en/
    3. L Pecchia, A Hussein, A Badnjevic, C De Maria, 3D printing, “artificial intelligence and design of medical devices for low resource settings”, 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: https://www.who.int/medical_devices/publications/4th_global-forum_med_dev/en/
    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: https://www.who.int/medical_devices/publications/4th_global-forum_med_dev/en/
    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: https://www.who.int/medical_devices/publications/4th_global-forum_med_dev/en/
    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: https://www.who.int/medical_devices/publications/4th_global-forum_med_dev/en/
    7. L Pecchia, A Hussein, D Medenou, R Houessouvo, D Piaggio, A Maccaro “Design, assessment and maintenance of medical devices resilience to Sub Saharan Africa (SSA) working conditions: the Warwick experience”, 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: https://www.who.int/medical_devices/publications/4th_global-forum_med_dev/en/

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. LinkLink opens in a new window
    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. LinkLink opens in a new window
    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. LinkLink opens in a new window
  • 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. LinkLink opens in a new window
    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. LinkLink opens in a new window
    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. LinkLink opens in a new window
    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. LinkLink opens in a new window
    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. LinkLink opens in a new window
    6. Pirc, E., Pecchia, L., Serša, G., Snoj, M., Grošelj, A., Reberšek, M., & Miklavčič, 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. LinkLink opens in a new window
    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. LinkLink opens in a new window
    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. LinkLink opens in a new window

2016

  • Organizational Neuroscience:
    1. Massaro, Sebastiano, and Leandro Pecchia. "Heart rate variability (HRV) analysis: A methodology for organizational neuroscience." Organizational Research Methods (2016): 1094428116681072.. LinkLink opens in a new window
  • 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. LinkLink opens in a new window
  • 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. LinkLink opens in a new window
    2. Borsci, S., Kuljis, J., Barnett, J., & Pecchia, L. (2016). Beyond the user preferences: Aligning the prototype design to the users’ expectations. Human Factors and Ergonomics in Manufacturing & Service Industries, 26(1), 16-39. LinkLink opens in a new window
    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) “Short term heart rate variability to predict blood pressure drops due to standing: a pilot study”, 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 “Mental stress and HRV: systematic review with meta-analysis”, Biomedical Signal Processing and Control (2015), Volume 18, April 2015, Pages 370–377.