Summary

PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery in SMARTTEST

Summary

PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery in SMARTTEST

PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery in SMARTTEST

Summary

PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery in SMARTTEST

Deadline: 09-Jun-2025

This PhD position will focus on the health monitoring system development mainly based on multimodal physiological signals, for instance, inertial measurement unit (IMU), electrocardiography (ECG), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process and detect or even predict the occurrence of clinical adverse events like delirium, cardiac arrhythmias and pneumonia among the elderly after hip fracture surgery. To obtain relevant data for the described technology development above and its feasibility test, the PhD candidate will also design a medical research experimental protocol for both a healthy control population and a target patient population, apply for the protocol’s ethical approval. Learn more and apply here

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