Pulse Detector Adaptive Spectral Line Enhancer
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Solution Overview
Problem
Pulse detectors face challenges in accurately detecting heartbeat signals due to noise interference from body motions and external impacts, especially when worn on areas like the wrist or finger, leading to errors in frequency analysis and usability limitations during daily activities.
Innovation Solution
A pulse detector employing an adaptive spectral line enhancer that separates the pulse wave signal into a heartbeat component and a noise component, using autocorrelation and gain coefficient adjustments to filter out noise, allowing for improved pulse frequency analysis and reduced error rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a pulse wave sensor is worn on a finger, wrist, or other body parts to detect pulse signals, then the device can continuously monitor pulse during daily activities, but motion artifacts and external impacts generate noise signals that interfere with accurate pulse detection
Solution Approach 1:
The patent segments the pulse wave signal into multiple frequency components using spectral analysis. By dividing the signal into different frequency bands and analyzing each separately, the system can identify and isolate the heartbeat frequency from motion artifacts and external impacts, enabling accurate pulse detection during daily activities
Solution Approach 2:
The patent introduces spectral analysis as an intermediary processing step between the raw pulse wave signal and the final pulse detection. This intermediary frequency-domain transformation allows the system to filter out noise and extract the true heartbeat signal, resolving the contradiction between continuous monitoring capability and measurement accuracy
2Ease of operation
If a pulse wave sensor is embedded in a device body to increase usability, then the device can be worn conveniently, but motion artifacts and external impacts create noise that degrades pulse frequency analysis
Solution Approach 1:
The patent replaces mechanical filtering approaches with spectral analysis and adaptive filtering algorithms. Instead of relying on physical filter structures, the system uses computational methods to identify and remove noise components, maintaining reliability while preserving the convenience of embedded sensor design
Solution Approach 2:
The patent dynamically adjusts filtering parameters based on the detected pulse characteristics and noise conditions. By adapting the spectral analysis and filtering parameters in real-time, the system maintains high reliability for pulse frequency analysis while keeping the device conveniently wearable
3Measurement precision
If band-pass filters are used to remove noise components, then pulse frequency analysis can be improved, but the system becomes more complex and requires multiple determination processes
Solution Approach 1:
The patent employs adaptive filtering that dynamically adjusts its characteristics based on the input signal. Rather than using fixed multiple-stage filters, the system adapts its filtering parameters in real-time, reducing overall system complexity while maintaining or improving pulse frequency analysis accuracy
Solution Approach 2:
The patent uses a unified spectral analysis approach that serves multiple functions: it identifies the heartbeat frequency, separates it from noise, and provides the basis for pulse rate calculation. This multi-functional approach reduces the need for separate filtering stages and simplifies the overall system architecture
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively decreases high-level noise interference, enhancing the accuracy of pulse detection and maintaining usability during motion and impact, thereby improving the tracking of abrupt changes in pulse rates.
Implementation Method 1
A sensor such as a pulse oximeter that optically acquires changes in blood volume
Data Source
AI summary
A pulse detector that detects a pulse signal originating from the pulse of a human body includes: a pulse wave sensor that detects and outputs a first pulse wave signal in which the pulse signal and a noise signal are mixed; and a first filtering unit that generates an adaptive spectral line enhancer based on the first pulse wave signal, divides the first pulse wave signal into a first signal and a second signal, and outputs a second pulse wave signal including at least the first signal.