MSE Research Project Database

Wearable devices for continuous monitoring of neurological disorders


Project Leader: Marimuthu Palaniswami
Staff: Aravinda Rao
Collaborators: Bernard Yan (Royal Melbourne Hospital)
Primary Contact: Marimuthu Palaniswami (palani@unimelb.edu.au)
Keywords: artificial intelligence; Internet of Things (IoT); machine learning; wearable devices
Disciplines: Biomedical Engineering,Electrical & Electronic Engineering
Domains:
Research Centre: ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

Several neurological disorders affect the motor system in the brain. This results in deprivation of purposeful movement by the patient and affects the normal interaction with the environment. The specialized nerve cells in the lower and upper motor neurons of the brain control the skeletal muscles. Any neurological problem affecting the motor neurons will result in the manifestation of the problem in the hands and limbs. The symptoms may include tremors, rigidity, spasticity, weakness and inaccurate movement. One of the milestones of modern management of acute stroke is the administration of a thrombolytic (clot-busting medication) to unblock the artery. Continuous monitoring of patients is critical in the management of stroke patients. However, the current clinical observation paradigm is time consuming and subject to inter-observer bias. The project aims to develop wearable devices with Artificial Intelligence (AI) models to understand and predict patient recovery.