DC08 - Learning-assisted prediction for the recovery of elderly after hip fracture surgery
Host institution | UT |
Country | (NL) |
Supervisor | Prof. Peter Veltink & Prof. Ying Wang (UT, NL) |
Co-supervisors | Prof. Johannes H. Hegeman (ZGT, NL) |
Objectives | To customize and validate continuous health monitoring system for triggering alarms based on the detected symptoms of delirium and pneumonia which commonly occur among elderly patients after hip-fracture surgery, to collect data and develop signal/data processing methods on predicting recovery of patients after hip-fracture surgery in hospital environment. |
Expected Results | documented relevance between recovery speed and human motion/vital sign data for the elderly after surgery, and a learning based episode tracking and prediction pipeline. |
PhD enrolment | UT (NL) |
Planned secondments | ZGT, NL (M18-20, mentor & co-supervisor: Prof. Johannes H. Hegeman): train DC08 hand-on experience with relevant patients, gathering real patients’ data for later algorithm validation, and on dataset ethical aspects. |
| VSB+BENET, CZ (M31-33, mentor: Prof. Martin Cerny): train DC08 on assistive daily living in living labs and ultra-wideband sensing, and on assistive knowledge for disabled or patient with chronic disease |
Link to Institute |
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