Nec corporation (20240135531). RECOVERY LEVEL ESTIMATION DEVICE, RECOVERY LEVEL ESTIMATION METHOD, AND RECORDING MEDIUM simplified abstract
Contents
- 1 RECOVERY LEVEL ESTIMATION DEVICE, RECOVERY LEVEL ESTIMATION METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RECOVERY LEVEL ESTIMATION DEVICE, RECOVERY LEVEL ESTIMATION METHOD, AND RECORDING MEDIUM - 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
RECOVERY LEVEL ESTIMATION DEVICE, RECOVERY LEVEL ESTIMATION METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
RECOVERY LEVEL ESTIMATION DEVICE, RECOVERY LEVEL ESTIMATION METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135531 titled 'RECOVERY LEVEL ESTIMATION DEVICE, RECOVERY LEVEL ESTIMATION METHOD, AND RECORDING MEDIUM
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 related to eye movement from the images.
- Recovery level estimation means uses a machine learning model to estimate the patient's recovery level based on the extracted 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 provides a non-invasive and objective way to assess a patient's recovery level, which can help healthcare professionals make more informed decisions about treatment plans and interventions.
Benefits
- Non-invasive method for monitoring patient recovery - Objective assessment based on eye movement features - Potential for early detection of changes in recovery level
Potential Commercial Applications
- Medical devices for rehabilitation centers - Software for healthcare professionals to analyze eye movement features for recovery assessment
Possible Prior Art
Prior art may include similar technologies used in eye tracking systems for research or medical applications, but the specific application of estimating recovery levels based on eye movement features may be novel.
What is the accuracy rate of the recovery level estimation in this device?
The accuracy rate of the recovery level estimation in this device is not specified in the abstract. Further details on the performance metrics of the machine learning model used for estimation would be needed to determine the accuracy rate.
How does the device handle variations in eye movement features among different individuals?
The device likely incorporates a robust feature extraction algorithm that can adapt to variations in eye movement features among different individuals. Machine learning models are trained on diverse datasets to account for these variations and improve the accuracy of recovery level estimation.
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.
