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Applied Biomedical Signal Processing and Intelligent eHealth Lab

This Biomedical Engineering (BME) lab focuses on translating advanced biomedical signal processing, machine learning and eHealth to clinical settings, aiming to face emerging problems of health and wellbeing, especially in later life.

Health problems, particularly in the elderly, depend on complex and dynamic interactions between several intrinsic and extrinsic factors. Advanced technologies of eHealth integrated with techniques of machine learning and advanced biomedical signal processing can respond to, among others, the increasing burden of chronic disease, ensuing disabilities and the complexity of co-morbidities. In so doing they contribute to the sustainability of health and care systems.

The vision of the lab is to develop, validate, promote and translate sustainable solutions to face emerging challenges of later life, including, but not limited to, accidental falls, cardiovascular events, cognitive impairment, frailty and social exclusion.

International Collaborations

The lab is a crucial node of the international ecosystem of BME scientific societies and NGOs focusing on biomedical and clinical engineering. Via this network, lab members are proactively supporting European Policy Makers (i.e., European Parliament, European Commission, European Economic and Social Committee) and the United Nation World Health Organization (WHO), serving the reference community in many roles, including:

  • Dr Pecchia is currently:
    • President, European Alliance of Medical and Biological Engineering and Science (EAMBES), link
    • Secretary General, International Union for Physical and Engineering Sciences in Medicine (IUPESM), link
    • Treasurer, Clinical Engineering Division of the International Federation of Medical and Biomedical Engineering (IFMBE), link
  • Lab members and associates are currently supporting:
    • the EAMBES Public Affair Working Group, Ethical committee, MDR Nomenclature committee
    • the IFMBE Health Technology Assessment Division (HTAD) and Clinical Engineering Division (CED)
    • the IFMBE Women in Biomedical Engineering
    • the IUPESM Education Committee

ABSPIEH International collaborationsFurther details can be seen here.

Current areas of interest

Further details can be seen here.

  • Artificial Intelligence, Internet of Things, Big Data for:
    • Management of non-communicable diseases
    • Sleep quality and sleep pattern monitoring
    • Short term prediction of falls in the elderly
    • Early detection and prediction of patients exacerbation with particular focus on congestive heart failure (CHF) and hypertension
    • Mental stress detection and assessment
    • Behavioural, cognitive and affective monitoring and appraisal
  • Global Health and Global Sustainable Goals
    • Design of Medical Technologies for low-income settings
    • Medical Device regulatory science
    • Medical Location regulatory science
    • Clinical Engineering
  • Medical Device design, regulation, management and assessment:

The Equipment

The lab is equipped to acquire, process and assess the majority of biomedical signals, also using wearable and wireless devices for continuous long-time acquisitions (i.e., 24h for 2 weeks) also in real-life.

Internet of medical things, ehealt, mobile health, medical sensors, medical devices
  • Biopotential (ECG, EEG, EOC, EMG...)
  • Body temperature and skin resistance/conductance
  • Actigraphy
  • Breathing rate
  • Blood pressure, SpO2, plethysmography
  • Complex combinations of the above (e.g., polysomnography)

Moreover, the lab is equipped the state of the art equipment for testing the majority of medical devices against the main international standards

Clinical engineering, medical device testing equipment, patient safety
  • Electric Safety analyzer
  • Defibrillators analyzer
  • Electrobistury analyzer
  • Infusion pumps analyzer
  • Gas flow analyzers
  • Patient Simulators


Warwick Global Research Priorities GRPs and Warwick Research Centres

The laboratory and its associates are actively involved in two Global Research Priorities of the University of Warwick and one interdepartmental Centre:

Current projects

  • Leveraging AI based technology to transform the future of health care delivery in Leading Hospitals in Europe (ODIN), Funded by: H2020 , Smart Hospital 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 01-06-2018 - 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
  • Cost Action 19104 - Advancing Social inclusion through Technology and EmPowerment, Funded by COST ACTION EU, Project start date 14-10-2020 - Project end date 13-10-2024