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 networkLink opens in a new window, 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:
- Prof. 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
Current areas of interest
Further details can be seen hereLink opens in a new window.
- 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
- Assistive Technology: design, assessment and provisioning
- Medical Device design, regulation, management and assessment:
- User need elicitation
- Health Technology Assessment (HTA) Link opens in a new window
- HTA based/informed design (pre-market or early HTA)
- Health Technology Management (HTM)
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.
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Moreover, the lab is equipped the state of the art equipment for testing the majority of medical devices against the main international standards
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Warwick Global Research Priorities GRPs and Warwick Research Centres
The laboratory and its associates are actively involved in two Global Research PrioritiesLink opens in a new window of the University of Warwick and one interdepartmental Centre:
- GRP HealthLink opens in a new window
- GRP Behavioural ScienceLink opens in a new window
- Warwick Interdisciplinary Research Centre for International Development (WIRCID),Link opens in a new window
Projects/grants
For more information about our portfolio of projects, visit our "Current projectsLink opens in a new window" page.
Resources
- Book F207 (only for ABSPIE Lab members) at this link.
- Report the equipment you have or will borrow from the Lab (only for ABSPIE Lab members) at this link.
- Master list of equipment (only for ABSPIE Lab Members): link.
Staff
- Prof. Leandro PecchiaLink opens in a new window, Lab Co-Director, Full Professor
(Prof Pecchia CVLink opens in a new window) - Dr Davide Piaggio,Link opens in a new window Lab Co-Director, Assistant Professor
- Dr Muhammad Salman HaleemLink opens in a new window, Assistant Professor
- Dr Silvio PagliaraLink opens in a new window, Assistant Professor
- Dr Rossana CastaldoLink opens in a new window, Research Associate
- Dr Alessia MaccaroLink opens in a new window, MSCA Research Fellow
- Dr Kallirroi StavrianouLink opens in a new window, Project Administrator
- Matt PhillipsLink opens in a new window, Project Administrator
- Siu Tim WanLink opens in a new window, PhD Student
- Carlo FedericiLink opens in a new window, PhD Student
- Busola OrontiLink opens in a new window, PhD Student
- Martina AndelliniLink opens in a new window, PhD Student
- Katy Stokes, PhD Student
- Owain CisueloLink opens in a new window, PhD Student
- Abdulaziz AlmuhiniLink opens in a new window, PhD Student
- Wanzi Su, PhD Student
- Zeeshan Raza, PhD Student
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