Representative PPG Pulse Profiling for Reliable Wearable Metrics
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Solution Overview
Problem
Wearable devices using photoplethysmogram (PPG) data often produce inaccurate physiological measurements due to varying pulse morphologies and environmental factors, leading to unreliable metrics.
Innovation Solution
A system identifies representative PPG pulses by comparing morphological features and determining PPG profiles for each physiological metric, using green and red LEDs to enhance data accuracy, and accounting for user posture and hydration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If PPG pulses are collected continuously from users, then more physiological data is available for analysis, but the accuracy of physiological measurements deteriorates due to inclusion of inaccurate PPG pulses
Solution Approach 1:
The patent applies local quality by establishing specific morphological criteria (amplitude thresholds, duration ranges, shape characteristics) that define what constitutes a valid PPG pulse. Each PPG pulse is evaluated against these localized quality standards to determine whether it accurately represents physiological data, thereby maintaining measurement precision while processing large quantities of PPG data.
Solution Approach 2:
The patent utilizes parameter changes by monitoring multiple morphological parameters of PPG pulses including amplitude, duration, and shape characteristics. By tracking changes in these parameters over time and comparing them against established ranges, the system can identify and filter out inaccurate PPG pulses, ensuring that only pulses within acceptable parameter ranges contribute to physiological measurements.
2Productivity
If all PPG pulses are used for physiological metric calculation, then processing is simpler and faster, but measurement reliability deteriorates due to morphological variations and external factors
Solution Approach 1:
The patent implements preliminary action by pre-establishing morphological profiles and validation criteria before processing PPG data. These profiles include expected amplitude ranges, duration thresholds, and shape characteristics for different physiological states. During data processing, PPG pulses are quickly validated against these pre-defined criteria, enabling rapid filtering of inaccurate pulses without requiring complex real-time analysis, thus maintaining both processing speed and measurement reliability.
3Device complexity
If PPG data is collected without considering external factors, then data collection is simpler, but measurement accuracy deteriorates due to light, pressure, and posture variations
Solution Approach 1:
The patent applies the taking out principle by extracting and isolating the effects of external factors from PPG signal analysis. Instead of trying to control or eliminate external factors during data collection, the system extracts morphological features that are insensitive to these factors and uses them for physiological metric calculation. This approach maintains simple data collection procedures while improving measurement accuracy by focusing on robust signal characteristics.
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
This approach ensures high-quality physiological measurements by selecting PPG pulses that accurately represent user metrics, improving data reliability and consistency.
Implementation Method 1
Some wearable devices may be configured to utilize light to acquire photoplethysmogram (PPG) data from users
Data Source
AI summary
Methods, systems, and devices for identifying representative photoplethysmogram (PPG) pulses are described. A method may include acquiring a first set of PPG pulses from a user via a wearable device. The method may include comparing a set of morphological features of the first set of PPG pulses, and determining one or more PPG profiles for the user, where the one or more PPG profiles each include a set of morphological value ranges for the set of morphological features. The method may include acquiring a second set of PPG pulses from the user via the wearable device, and determining that one or more PPG pulses from the second set of PPG pulses match the one or more PPG profiles. The method may include determining one or more physiological metrics associated with the user based on the one or more PPG pulses matching the one or more PPG profiles.