Wearable Sedentary Posture Detection Using Heart Rate Variability
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Solution Overview
Problem
Existing activity trackers cannot distinguish between different sedentary states such as standing, sitting, and lying, which is crucial for health monitoring and preventing conditions like lower limb edema and varicose veins, especially in occupations involving prolonged standing or sitting.
Innovation Solution
A method and device that determine sedentary states by analyzing heart rate signals, filtering out arousal influences, and comparing derived heart rate features with pre-determined ranges specific to each posture, using heart rate variability and Galvanic Skin Response to differentiate between sedentary postures like standing, sitting, and lying.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If motion sensors are used to detect sedentary states, then the device remains unobtrusive and easy to wear, but the ability to distinguish between different sedentary postures (standing, sitting, lying) is insufficient
Solution Approach 1:
The patent combines motion sensors with heart rate sensors in a single wearable device. The motion sensor detects overall movement patterns while the heart rate sensor provides physiological data about arousal levels. By merging these two sensing modalities, the system achieves both unobtrusive wearability and accurate sedentary posture distinction, resolving the contradiction between ease of operation and measurement precision.
2Measurement precision
If multiple sensors at different body locations are used to detect individual body part positions, then sedentary posture detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent introduces heart rate as an intermediary physiological parameter that mediates between the simple motion sensor data and the complex task of posture classification. Instead of directly measuring body part positions with multiple sensors, the system uses heart rate variability as an intermediate indicator of arousal that correlates with different sedentary postures. This intermediary approach achieves accurate posture detection while maintaining device simplicity.
3Measurement precision
If heart rate signals are used to determine sedentary postures, then posture detection accuracy improves, but the influence of arousal on heart rate creates false positives
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors heart rate signals and compares them against learned patterns associated with different sedentary postures. When arousal is detected through heart rate variability analysis, the system adjusts its interpretation by referencing the temporal pattern and magnitude of the response. This feedback loop allows the system to distinguish between arousal-induced heart rate changes and posture-induced changes, maintaining reliability while using heart rate for accurate posture identification.
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
Enables accurate identification of sedentary postures, allowing users to take timely actions to avoid prolonged sedentary periods, thereby improving health outcomes and reducing the risk of related health issues.
Implementation Method 1
different sedentary body postures can be reliable distinguished on the basis of heart rate features, such as heart rate, heart rate variability, etc.
Implementation Method 2
filtering the arousal value further includes calculating a heart rate (HRArousal) indicative of arousal based on Galvanic Skin Response (GSR) signal
Data Source
AI summary
Various embodiments relate to methods, devices, and systems for ascertaining a sedentary body posture of a subject including: determining if the subject is in a sedentary state when the subject is sedentary for a pre-determined time; receiving a heart rate signal for least one heart rate feature when the subject is in the sedentary state; deriving at least one heart rate feature value when the subject is in the sedentary state further including filtering an arousal value from the received heart rate signal, so as to reduce an influence of the arousal on the determination of the sedentary posture; and determining the sedentary body posture of the subject based on a comparison between the derived at least one heart rate feature value and a pre-determined range associated with the corresponding at least one heart rate feature, wherein for each sedentary body posture, a pre-determined range is stored.