Wireless inertial sensing for early warning of clinical events
The application space for wireless inertial sensing in healthcare is extremely large encompassing everything from measuring improvements in post stroke rehabilitation, to gait analysis, falls detection and recognising early onset Alzheimer’s and dementia. Data which is extensively analyzed to determine if different patterns of movement can be correlated with the currently used clinical scores, other clinical findings and subsequent clinical outcomes.
Dr Paul Galvin
This technology is being employed in frontline acute medical care to monitor cumulative movement. In a study which is currently underway at the Midwestern General Hospital Nenagh, Co. Tipperary, Ireland, patients are monitored using Tyndall wireless inertial measurement devices for the first 24 hours after their admission to the Elderly Care Unit. These devices transmit all movement recorded during this time. These continuous streams of data are then extensively analyzed to determine if different patterns of movement can be correlated with the currently used clinical scores, other clinical findings and subsequent clinical outcomes.
Development of algorithms for “movement scores” for early prediction of adverse events that will provide a robust early warning to clinical staff of clinical deterioration.
This research was enabled as a strategic project with Connected Health through internal Tyndall funding.