The ABSPIE Lab is the reference point for all citizens, clinicians, scientists and manufacturers who are willing to cooperate beyond any barrier to design, develop and promote sustainable and feasible eHealth solutions to solve health and wellbeing problems meeting real user needs.
The ABSPIE Lab seeks to develop, validate and test the most innovative methods and tools for biomedical signal processing, machine learning, eHealth and healthcare technologies that can maximize lay and lead user needs’ satisfaction. The lab is committed to maximize the impact of the most promising innovations in this field, arriving to their main stakeholders in a sustainable manner.
The ABSPIE lab aims to realise its mission and vision basing on 6 enabling values and knowledge areas:
- Applied biomedical signal processing: capability to develop, validate and test new methods of biomedical signal processing that can be used in real applications
- Multiscale modelling: enable the integration of models working on different spatial or temporal scales in order to model reliably complex processes
- Health Technology Assessment (HTA): structured multi-disciple methods to estimate the cost-effectiveness of new medical devices.
- International cooperation: support knowledge exchanges cooperating with the best partners worldwide
- Sustainable and LMIC (Low-Middle Income Countries) friendly design: focus on the development of sustainable devices that can be used also in LMIC, considering properly local needs, knowledge, cultures and infrastructures
- User need elicitation: capability to identify, classify and priorities used needs using scientific methods and use this information to increase the impact of new medical devices
Moreover, the ABSPIE Lab cooperates with other Warwick Schools/Laboratories, UK health Institutions and relevant scientific societies Privileged dialogue is maintained with IFMBE and EAMBES, with the WHO and with the European Parliament and Commission organizing training events and scientific sessions on those enabling values. Based on those values, the lab is working in 3 main areas:
- Develop new models to better understand hidden association between behaviours and physiological changes that can be used to predict, and therefore maximize, individual response to treatment, behavioural interventions or physical training
- Develop new methods to detect health or behavioural changes that, if not recognized and managed, will result in health deteriorations and therefore mode costly and complex interventions
- Develop new methods and tools to apply reverse engineering to health economy, to inform the design of new medical devices and therefore maximize their impact
The ABSPIE Lab is focussed on developing, validating and testing new methods and tools aiming to:
- Interpret health changes into the context, integrating physiological and behavioural monitoring
- Predict health changes individuals’ response to training and therapy
- Support diseases self-management
- Provide timely feedback to patients and their carers to reduce unnecessary (and costly) interventions
- Predict medical devices cost-effectiveness and maximise their impact using early stage HTA methods and tools