18485787. ESTIMATING RECOVERY LEVEL OF A PATIENT simplified abstract (NEC Corporation)
Contents
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 18485787 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. Here are the bullet points explaining the patent/innovation:
- Image acquisition means captures images of the patient's eyes.
- Eye movement feature extraction means analyzes the images to extract a feature related to the patient's eye movement.
- Recovery level estimation means uses a machine learning model to estimate the recovery level of the patient based on the extracted eye movement feature.
- The machine learning model is trained in advance to learn patterns and correlations between eye movement features and recovery levels.
Potential applications of this technology:
- Medical diagnosis: The device can be used in medical settings to assess the recovery level of patients with neurological or ophthalmological conditions.
- Rehabilitation monitoring: The device can assist in monitoring the progress of patients undergoing rehabilitation therapies by tracking their recovery levels over time.
- Research tool: Researchers can utilize the device to study the relationship between eye movements and recovery levels in various patient populations.
Problems solved by this technology:
- Objective assessment: The device provides an objective and quantitative measure of a patient's recovery level, which can help healthcare professionals make more accurate diagnoses and treatment decisions.
- Non-invasive monitoring: The device eliminates the need for invasive procedures or tests to assess a patient's recovery level, making it more comfortable and convenient for the patient.
- Early detection: By analyzing eye movements, the device may be able to detect subtle changes in a patient's recovery level at an early stage, allowing for timely intervention and treatment.
Benefits of this technology:
- Improved patient care: The device provides healthcare professionals with valuable information about a patient's recovery level, enabling personalized and targeted treatment plans.
- Time and cost-effective: The non-invasive nature of the device and its ability to provide quick assessments can save time and reduce healthcare costs.
- Objective and reliable: The use of machine learning models ensures consistent and reliable estimation of recovery levels, reducing the potential for human error or bias.
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.
