Camera based Eye State Estimation for ICU Patients: A Pilot Clinical Study

Haowen Wang1; Weijun Huang1; Jia Huang2; Guowei Wang2; Hongzhou Lu2; Wenjin Wang1

10.1109/CVPRW59228.2023.00645

2023

2160-7508

979-8-3503-0250-9

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

2023-June

6060-6067

17-24 June 2023

Vancouver, BC, Canada

In the Intensive Care Unit (ICU), the awakening of patients from comas is indicative of recovery. This article investigates the feasibility of using conventional and deep learning-based methods for eye state estimation based on videos recorded by a CCTV-camera installed in the ICU. For handcrafted feature-based methods, geometric, HOG and RGB features are combined as the input of the SVM classifier to classify the eye state as open and closed. For deep learning-based methods, the eye and face images were used as joint input for classification. The clinical trial involved 48 critically-ill ICU patients. The results show that the HOG-RGB based method achieved an accuracy of 91.39%, while the deep learning-based method achieved an accuracy of 89.35%. These findings highlight the chances of using CCTV cameras to estimate the eye state of ICU patients, which can be a useful mean to provide information regarding the patient consciousness for clinicians to assess their recovery.

Learning systems Support vector machines Location awareness Sleep Face recognition Internet of Medical Things Cameras

第一

EI

20233714730605

Deep learning ; Intensive care units ; Learning systems ; Patient rehabilitation ; Support vector machines ; Video cameras

Ergonomics and Human Factors Engineering:461.4 ; Rehabilitation Engineering and Assistive Technology:461.5 ; Hospitals, Equipment and Supplies:462.2 ; Television Systems and Equipment:716.4 ; Computer Software, Data Handling and Applications:723 ; Control Systems:731.1 ; Photographic Equipment:742.2

IEEE

1.Department of Biomedical Engineering, Southern University of Science and Technology, China
2.Department of Intensive Care Unit, The Third People’s Hospital of Shenzhen, China

Haowen Wang,Weijun Huang,Jia Huang,et al. Camera based Eye State Estimation for ICU Patients: A Pilot Clinical Study[C],2023:6060-6067.