Computer vision applications for patients monitoring system

Patient Monitoring system has been one of the most important devices used in hospitals. It helps to provide a means for caregivers to regularly observe patients in multiple intensive care units from a single remote location. The system may provide an addition layer of care, which includes software tools that support analysis of patients' values, vital signs, trends etc. In addition, from clinical observations, without a proper monitoring system, abnormal activities in wards such as unbalanced walking, bed climbing, and irregular body posing can lead to serious consequences, for instance falling, pains or injuries. In any of these incidents occurring, the only information that the medical staffs may be able to access is the occurrence itself and possibly the degree of the incident. In this project, cameras are utilized together to help in monitoring the activities of the patients. Already, technologies in video surveillance system and computer vision are widely acknowledged to make monitoring tasks easier and more effectively. The technologies can assist in gathering details of the activities and actions for better assessments. With the collaboration and discussion with the nurses, the integrated system will provide alarming features to draw attentions from the nurses for detecting falls, risky movements, and irregular actions of the patients. Furthermore, information of the monitored activities is recorded for further studies.