THEORETICAL BACKGROUND
Developed a platform for establishing a clinical information database (CID-VIT) based on voice and image recognition technology for emergency cardiovascular patients
MBRC offers 3 datasets related to medical unstructured big data.
Emergency department patient consciousness measurement video
- Data Type Video
- Registration Date
- Sample
- Latest Update
- Data Size
- Organizations Seoul National University Hospital
- Data Colletion Period
DATA INTRODUCTION
- True-image and skeleton information of the patients
- Voice information of medical staff and the patients
DATA ACCUMULATION DEVICE AND PROCEDURE
Using Kinect sensor and Bluetooth oriented microphone, voice and video are acquired simultaneously without time difference and stored in a secured NAS
DATA COLLECTION PROCESS
Only patients who has submitted the consent form are filmed in a specific emergency room area where a recording/recordable system is installed, centering on the bed in which the patient is lying, and the medical practice performed by the doctor to confirm the patient's consciousness and the patient's response to it are acquired as a video. Images which include real images and Skeleton information of patients are collected by using Kinect sensor. Voice is received separately from patients and medical staff in multiple channels
