Adaptive Abnormality Notification System for Biological Signals
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Solution Overview
Problem
Existing abnormality notification systems lack reliability due to variations in subject conditions and sensor characteristics, leading to unnecessary notifications, which burden medical personnel and staff.
Innovation Solution
An abnormality notification system that differentiates notification criteria based on the accuracy of biological information, using a high-accuracy criterion for reliable notifications and a loose criterion for less reliable data, thereby reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If notification is made based on whether biological information exceeds threshold irrespective of subject condition and sensor characteristics, then notification coverage is improved, but reliability of notification deteriorates
Solution Approach 1:
The patent applies local quality by differentiating notification criteria based on the specific condition of the subject and sensor characteristics. Instead of using a uniform threshold for all cases, the system adjusts the notification threshold according to the accuracy level of the biological information, which varies locally depending on subject conditions and sensor performance. This resolves the contradiction by making the notification system adaptive to local variations in data quality.
Solution Approach 2:
The patent changes the notification threshold parameter based on the accuracy level of biological information. When accuracy is high, a stricter threshold is applied; when accuracy is low, a more lenient threshold or no notification is given. This dynamic parameter adjustment resolves the contradiction between maintaining notification coverage and ensuring reliability by adapting the threshold to the current data quality conditions.
2Ease of operation
If uniform notification criterion is applied to all biological information, then ease of operation is improved, but reliability of notification deteriorates
Solution Approach 1:
The patent introduces dynamics by making the notification criterion adaptable rather than static. The system automatically adjusts the notification threshold based on real-time assessment of biological information accuracy, which varies with subject conditions and sensor characteristics. This dynamic adjustment maintains ease of operation while improving reliability, as the system handles the complexity automatically without requiring manual intervention.
3Measurement precision
If notification threshold is lowered to increase notification coverage, then detection capability is improved, but false alarm rate increases
Solution Approach 1:
The patent changes the notification threshold parameter dynamically based on the accuracy level of biological information. Instead of using a fixed low threshold that increases false alarms, the system adjusts the threshold according to subject conditions and sensor characteristics. This resolves the contradiction by maintaining high detection capability when accuracy is high while suppressing false alarms when accuracy is low.
Data Source
AI summary
A biological signal of a subject is acquired so as to calculate biological information from the acquired biological signal. When the biological information has been determined to be anomaly, whether the biological information is one that was calculated under a high-accuracy condition is determined. When the biological information is determined to be one that was calculated under the high-accuracy condition, a notice is given based on a first criterion. In the other cases, a notice is given based on a second criterion. Thereby, it is possible to provide an abnormality notification system that can give a necessary notification appropriately while suppressing unnecessary notification, by changing the criteria for notification in accordance with the accuracy of the determined biological information when the biological information of the subject was determined to be anomaly.