Physiological Information Acquisition With Erroneous-Calculation Prediction
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Solution Overview
Problem
Existing physiological information acquisition devices often force users to take unnecessary actions due to frequent and potentially erroneous alarms indicating abnormal physiological parameters.
Innovation Solution
A device and method that predicts the probability of erroneous calculations based on waveform data, allowing for controlled and preliminary notifications to minimize unnecessary user actions by adjusting alarm outputs based on predicted probabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alarms are output frequently to ensure detection of all physiological abnormalities, then detection reliability is improved, but user burden increases due to unnecessary actions
Solution Approach 1:
The system performs preliminary actions by outputting preliminary notifications before formal alarms when the probability of erroneous calculation is high. This anticipatory approach allows the system to prepare users for potential alarms, reducing the shock and unnecessary actions when alarms do occur, while maintaining high detection reliability through the probability-based prediction mechanism
Solution Approach 2:
The probability prediction value serves as an intermediary between the raw waveform data and the alarm output decision. By introducing this intermediate probability assessment, the system can distinguish between genuine abnormalities requiring alarm and transient anomalies likely to be erroneous, thereby reducing false alarms while maintaining reliable detection of true abnormalities
2Ease of operation
If alarms are suppressed to reduce unnecessary user actions, then user burden is reduced, but detection reliability deteriorates due to missed abnormalities
Solution Approach 1:
By outputting preliminary notifications before formal alarms when error probability is high, the system prepares users in advance. This preliminary action maintains detection reliability because the full alarm still occurs when needed, while reducing user burden by preventing surprise reactions to sudden alarms
Solution Approach 2:
The system changes the alarm output parameter based on the predicted probability of erroneous calculation. When probability is high, the system modifies alarm behavior (outputting preliminary notifications or suppressing alarms), and when probability is low, normal alarm behavior is maintained, thus preserving detection reliability while reducing false alarms
3Ease of operation
If preliminary notifications are output before alarms, then user burden is reduced by preventing unnecessary actions, but device complexity increases
Solution Approach 1:
The prediction unit utilizes the existing waveform data that is already being processed by the calculation unit, rather than requiring separate sensing systems. By self-serving from the available data resources and using probability analysis of existing signals, the system reduces user burden without proportionally increasing hardware complexity
Data Source
AI summary
A physiological information acquisition device includes: a reception interface configured to receive waveform data corresponding to a measured waveform of a physiological parameter of a subject from a sensor; a notifier configured to output an alarm indicating that the physiological parameter is not normally acquired; a processor configured to cause the notifier to output the alarm based on the waveform data; and a predictor configured to predict, based on the waveform data, a probability that the physiological parameter is erroneously calculated. The processor is configured to cause the notifier to perform a notification of at least one of a quality of the waveform data, a state of the sensor, and an action shall be taken by a user, based on the probability.