Nec corporation (20240099653). 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 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 20240099653 titled 'ESTIMATING RECOVERY LEVEL OF A PATIENT
Simplified Explanation
The patent application describes a device that estimates the recovery level of a patient based on eye movement features extracted from images of the patient's eyes.
- Image acquisition means captures images of the patient's eyes.
- Eye movement feature extraction means extracts features of eye movement 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 monitor and assess the recovery progress of patients, especially those with neurological conditions or undergoing rehabilitation.
Problems Solved
This technology helps healthcare professionals track and evaluate the recovery of patients in a non-invasive and objective manner, providing valuable insights into their progress.
Benefits
- Non-invasive monitoring of patient recovery - Objective assessment based on eye movement features - Early detection of improvements or setbacks in recovery
Potential Commercial Applications
"Eye Movement-Based Recovery Level Estimation Technology in Healthcare"
Possible Prior Art
There are existing technologies that use eye tracking for various applications, such as assessing cognitive function or monitoring eye movements in virtual reality systems. However, the specific use of eye movement features to estimate recovery levels in patients may be a novel application.
What are the potential limitations of this technology in real-world applications?
The technology may face challenges in accurately interpreting eye movement features in patients with certain conditions that affect eye movements, such as nystagmus or strabismus. Additionally, the reliability of the recovery level estimation model may vary depending on the diversity of patient data used for training.
How does this technology compare to traditional methods of assessing patient recovery?
Traditional methods of assessing patient recovery often rely on subjective observations or self-reported symptoms, which can be influenced by various factors. This technology offers an objective and quantitative approach to monitoring recovery progress, providing healthcare professionals with valuable insights that may not be easily observable through traditional methods.
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.
