Wrist-worn Device Respiratory Frequency Training Assessment
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Solution Overview
Problem
Current wrist-based heart rate monitoring devices face challenges in reliably measuring heart rate, especially from the dorsal side of the wrist, due to poor signal quality, which limits their effectiveness during exercise and makes them less reliable compared to chest-based systems.
Innovation Solution
A wrist-worn device collects hemodynamic signals from the dorsal side using sensors like electrical electrodes or an EMFi membrane, focusing on detecting respiratory frequency to calculate training effect parameters, such as energy consumption, rather than relying on heart rate detection, allowing for reliable assessment of exercise performance without the need for pulse rate measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pulse sensors are located on the volar side of the wrist to detect heart rate, then the electrical and mechanical pulse signals are stronger, but the signal quality remains poor and reliability is insufficient compared to chest-based measurement
Solution Approach 1:
The invention extracts the useful respiratory frequency signal from the hemodynamic signal, separating it from the noisy pulse signal. By focusing on the respiratory component rather than attempting to measure pulse rate directly, the system obtains reliable data even when pulse detection fails due to poor signal quality on the wrist.
Solution Approach 2:
The invention uses respiratory frequency as an intermediary parameter to assess training effect. Instead of directly measuring heart rate (which fails on the wrist), the system measures respiration and uses this intermediary to infer training status, providing reliable assessment without requiring direct pulse measurement.
2Ease of operation
If devices attempt to measure heart rate from the dorsal side of the wrist, then the device can be worn comfortably, but the signal quality is poor and heart rate cannot be reliably measured
Solution Approach 1:
The invention extracts the respiratory frequency component from the hemodynamic signal collected on the dorsal wrist. This allows the device to maintain comfortable wearability while obtaining reliable measurement data through the respiratory component rather than failing pulse measurement.
3Ease of operation
If wrist-based measurement is used instead of chest-based measurement, then the device is more portable and user-friendly, but the measurement reliability is insufficient for exercise monitoring
Solution Approach 1:
The invention uses respiratory frequency as an intermediary to bridge the gap between portable wrist measurement and reliable training assessment. By measuring respiration instead of heart rate, the system maintains device portability while achieving reliable training effect assessment through the respiratory parameter.
Solution Approach 2:
The invention changes the measurement parameter from heart rate to respiratory frequency. This parameter change allows the system to maintain the advantages of wrist-based portability while achieving reliable training assessment, as respiration can be measured reliably on the wrist even when pulse measurement fails.
4Productivity
If pulse rate measurement is attempted from the wrist during exercise, then the device can assess training effect, but the signal quality is poor and measurement fails
Solution Approach 1:
The invention extracts the respiratory frequency signal from the hemodynamic signal, separating the useful training assessment information from the noisy pulse signal. This allows training effect assessment to continue even when pulse rate detection fails during exercise.
Solution Approach 2:
The invention uses respiratory frequency as an intermediary parameter to assess training effect during exercise. This intermediary measurement is reliable even in poor signal conditions, enabling continuous training assessment without requiring direct pulse rate measurement.
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 enables reliable assessment of training effects by leveraging respiratory frequency data, providing valuable information on energy consumption and stress levels, even with poor signal quality, and eliminates the need for chest-based sensors, making the device more user-friendly and cost-effective.
Implementation Method 1
the monitoring of changes in the impedance or inductance of the blood (bio-impedance/bio-inductance) caused by the pulse
Implementation Method 2
capacitive 'listening' to the pulse, based on the use of an EMFi (Electromechanical Film)
Implementation Method 3
mechanical detection of the pulse
Implementation Method 4
acoustic listening to the pulse has been tried
Data Source
AI summary
A method and wristop (wrist worn) device for monitoring physical exercise. The wristop device includes a central unit, in which there is a display face and to which a wristband is, or can be attached, sensor means for collecting a hemodynamic signal from the wrist, and a data-processing unit functionally connected to the sensor means, for deriving at least one physiological parameter from the hemodynamic signal. The data-processing unit of the wristop device is arranged to derive from the hemodynamic signal at least one physiological parameter depicting respiration, and further, on the basis of this, to calculate at least one training-effect parameter depending on the person and the exercise. In addition, the device makes it possible to eliminate the use of pulse bands in monitoring the training effect of exercise.