Nec corporation (20240099654). ESTIMATING RECOVERY LEVEL OF A PATIENT simplified abstract
Contents
- 1 ESTIMATING RECOVERY LEVEL OF A PATIENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ESTIMATING RECOVERY LEVEL OF A PATIENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
ESTIMATING RECOVERY LEVEL OF A PATIENT
Organization Name
Inventor(s)
ESTIMATING RECOVERY LEVEL OF A PATIENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240099654 titled 'ESTIMATING RECOVERY LEVEL OF A PATIENT
Simplified Explanation
The patent application describes a device that estimates the recovery level of a patient by analyzing their eye movements captured in images.
- Image acquisition means captures images of the patient's eyes.
- Eye movement feature extraction means extracts eye movement features from the images.
- Recovery level estimation means estimates the patient's recovery level using a machine learning model based on the eye movement features.
Potential Applications
This technology could be used in medical settings to assess the recovery progress of patients after surgery or injury.
Problems Solved
This technology provides a non-invasive and objective way to monitor a patient's recovery level, allowing for more accurate and timely interventions if needed.
Benefits
- Objective assessment of recovery level - Non-invasive monitoring - Early detection of potential issues
Potential Commercial Applications
This technology could be integrated into medical devices used in hospitals, rehabilitation centers, and clinics for patient monitoring and assessment.
Possible Prior Art
Prior art in this field may include eye-tracking technology used for various applications such as market research, gaming, and assistive technologies for individuals with disabilities.
Unanswered Questions
How accurate is the recovery level estimation compared to traditional assessment methods?
The accuracy of the recovery level estimation using eye movement features needs to be validated through clinical studies and comparisons with existing assessment tools.
What are the potential limitations or challenges of implementing this technology in real-world healthcare settings?
Challenges such as data privacy concerns, technical integration with existing healthcare systems, and user acceptance need to be addressed for successful adoption of this technology.
Original Abstract Submitted
in a recovery level estimation device, an image acquisition means acquires images in which eyes of a patient are captured. an eye movement feature extraction means extracts an eye movement feature which is a feature of an eye movement based on the images. a recovery level estimation means estimates a recovery level of the patient based on the eye movement feature by using a recovery level estimation model which has been learned by machine learning in advance.
