Project description
Cracking the code of end-of-life dementia
In the face of impending death, distinguishing the subtle signs of decline in individuals with dementia remains a formidable challenge. Despite available technology, predicting the point of perceived dying lacks precision. With this in mind, the ERC-funded 5-D project merges clinical assessments with wearable sensors, aiming to monitor pain, behavioural symptoms, oral changes, and decode the elusive point of no return. By meticulously analysing the evolution of thanotype components, the project pioneers new estimation methods, digital tools, and interdisciplinary models. 5-D not only enhances end-of-life understanding in dementia patients but also lays the foundation for cross-disciplinary research breakthroughs.
Objective
How can we recognize that a person with dementia is at the end of life? When we are dying, our physical, mental, and social abilities are gradually declining. No reliable method of predicting perceived dying currently exists although the technology is available (sensors, algorithms).
The aim of Decoding Death and Dying in Dementia by Digital thanotyping (5-D) is to provide methods and tools to diagnose and describe dying to an unprecedented level of accuracy and robustness, within a timespan larger than is possible now, focusing on the case of dying people with dementia as one of the most vulnerable and difficult to study groups. 5-D combines clinical assessment tools with wearable sensing technology to monitor a) pain and distressing symptoms, b) behavioral and psychological symptoms in dementia (BPSD), c) oral changes, and to decode “the point of no return” as the beginning of perceived dying.
To obtain this outcome in nursing home patients with dementia, I will test the main hypothesis: from monitoring the evolution of thanotype components over time and their interdependencies, the prediction of the “point of no return” is possible. The objectives of 5-D are:
O1. Collect data using sensors and validated assessment scales.
O2. Develop estimation methods for BPSD from sensor measurements.
O3. Develop digital tools to capture the expression of pain.
O4. Determine the relationship between breathing and oral symptoms.
O5. Develop models for symptom interdependencies at the end of life and the “point of no return”.
O6. Perform human-in-the-loop validation of developed tools, models, and algorithms.
The ground-breaking interdisciplinary novelty of 5-D endeavors to enhance our understanding of end-of-life underlying pain and symptoms in people with dementia. Advancing our theoretical knowledge to uncover how, when, and why perceived dying can be identified opens the doors for transferable research across several scientific fields.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health scienceshealth sciencesnursing
- medical and health sciencesbasic medicineneurologydementia
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Keywords
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
5020 Bergen
Norway