An Intelligent sensing system for pervasive monitoring of patients with dementia
Pervasive sensing with Body Sensor Networks (BSNs) is the latest evolution of diagnostic tools transforming the traditional episodic patient management to personalised and continuous monitoring of patients' health and wellbeing under their natural conditions. Integrated with miniaturised low cost sensors, a BSN system can provide the needed monitoring of patients' health and wellbeing and alert caregivers when an incident is detected. The system will improve the quality of care, ensure the safety of patients, reduce the workload and reliance on caregivers, and prevent adverse incidents which also means less medical care cost incurred to their family or the government. The system can be used to support further development of automatic health assessment models which will be an essential part of the future predictive, preventive and personalised medicine.
This project aims to develop an Intelligent Sensing System for pervasive monitoring of patients with BSN sensors (ISS-BSN). Supported by the Anandamahidol foundation and technically supported by industrial partners, we have developed a working prototype wearable sensor for fall prevention targeting in-patients and older adult fallers. Preliminary studies have been conducted to evaluate the feasibility, robustness and potential of this new technological solution for people with dementia. In this project, we plan to design and develop the needed system infrastructure to support clinical trials of the wearable sensors on dementia patients and enable wider deployment of BSN technologies for homecare and in-patient care. This Institutional Links award will enable the collaboration between the National Electronics and Computer Technology Center (NECTEC), Thai software start-up companies and hospitals with the Hamlyn Centre, Imperial College London, allowing us to introduce the system to enable large scale deployment of BSN technologies to improve patient care in Thailand.
This work is supported by a Newton Fund Institutional Links grant ID:330760239, under the Newton-Thailand Research Fund (TRF) partnership. The grant is funded by the UK Department of Business, Energy and Industrial Strategy (BEIS) and TRF and delivered by the British Council. For further information, please visit www.newtonfund.ac.uk.
More details on the project can be found via airpresense.com