Remote monitoring and analysis of gait and falls within an elderly population
Lead Participant:
CUSH HEALTH LTD
Abstract
We would like to carry out a 6 month feasibility study using remote patient monitoring to evaluate gait and balance in an elderly population. Out aim is to develop a machine learning tool to create a discrete healthcare wearable to prevent and protect against falls and hip fractures.
Lead Participant | Project Cost | Grant Offer |
|---|---|---|
| CUSH HEALTH LTD | £54,399 | £ 38,079 |
Participant |
||
| INNOVATE UK |
People |
ORCID iD |
| Kalon Hewage (Project Manager) |