Use of Accelerometry for Long Term Monitoring of Stroke Patients
Stroke patients are monitored hourly by physicians and nurses in an attempt to better understand their physical state. To quantify the patients’ level of mobility, hourly movement (i.e. motor) assessment scores are performed, which can be taxing and time consuming for nurses and physicians.
Patient-Specific Pose Estimation in Clinical Environments
In this paper we propose a semi-automated approach for improving upper-body pose estimation in noisy clinical environments, whereby we adapt and build around an existing joint tracking framework to improve its robustness to environmental uncertainties.