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Applied Biomedical Signal Processing and Intelligent eHealth Lab

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Advanced biomedical signal processing, machine learning and eHealth, applied to emerging problems of health and wellbeing, especially in later life, represent the main focus of the lab.

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, amongst 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 apply sustainable solutions to face emerging challenges of later life, including, but not limited to, accidental falls, cardiovascular events, cognitive impairment, frailty and social exclusion.

The facilities of the lab include systems for powerful remote elaborations, also in real time, and medical devices, also wearable, for monitoring biomedical signals (including ECG, EEG, EMG, EOG) and physiological parameters (including SpO2, body temperature, breathing, galvanic skin response, body acceleration/velocity etc).

Current areas of interest

Further details can be seen here.

  • 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
  • User need elicitation
  • Health Technology Assessment (HTA) of eHealth
  • HTA based/informed eHealth design

The Equipment

The lab is equipped to acquire and process the majority of biomedical signal, including ECG, EEG, EOG, EMG, GSR, T, NiBP, and accelerometers, also using wearable and wireless devices for continuous long time acquisitions (i.e. 24h for 2 weeks).

applied biomedical signal processing equipment 

Warwick Global Research Priorities GRPs

The laboratory together with its associates are actively involved in two Global Research Priorities of the University of Warwick:


Seminar Series


Open Positions



  • 2017/18
    • Mr Gordon Charlie, BEng Student in Business Management
    • Georgy Namm, BEng
    • Natasha Vakharia, BEng
    • Andrew Neary , MSc in BME
    • Scott Hyland, MSc in BME
  • 2016/17
    • Mr Claudio Guerra, Visiting Research Assistant, The University of Parma
    • Miss Yiyu Li, MSc Student in Communications and Information Engineering
    • Mr Sacha Gozlan,MSc Student in Electronic Engineering
  • 2015/2016

Visiting Accademics

Laboratory associates

International Activities (link)

  • Europe (link)
  • International (link)
  • WHO (link)

ABSPIE Seminar series (link)

New (links)