Physiological Detection System Frequency Correction
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Solution Overview
Problem
Conventional physiological detection systems in portable and wearable devices are hindered by the high cost, complexity, and large size of crystal oscillators, which affect detection accuracy due to frequency mismatches between the detection device and the host system.
Innovation Solution
A physiological detection system employing an adjustable oscillator and a clock generator to calculate and apply correction parameters based on reference and receiving data parameters, ensuring accurate physiological value calculation and reducing system complexity and cost by eliminating the need for crystal oscillators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a crystal oscillator is employed in the physiological detection device, then the detection accuracy can be maintained, but the cost increases, circuit complexity increases, and circuit board size increases
Solution Approach 1:
The patent replaces the expensive crystal oscillator with a cheaper adjustable oscillator that can be dynamically tuned. This substitution maintains detection accuracy while significantly reducing cost and circuit complexity, as the adjustable oscillator can be configured to match the host's oscillation frequency through software control rather than requiring a precise, expensive hardware component.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting the oscillation frequency of the physiological detection device to match the host's oscillation frequency. This frequency adjustment mechanism allows the system to maintain synchronization and detection accuracy without requiring a crystal oscillator, thereby reducing hardware complexity and cost.
2Measurement precision
If a crystal oscillator is employed in the physiological detection device, then the detection accuracy can be maintained, but the circuit board size increases
Solution Approach 1:
The patent replaces the expensive crystal oscillator with a cheaper adjustable oscillator that can be dynamically tuned. This substitution maintains detection accuracy while significantly reducing cost and circuit complexity, as the adjustable oscillator can be configured to match the host's oscillation frequency through software control rather than requiring a precise, expensive hardware component.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting the oscillation frequency of the physiological detection device to match the host's oscillation frequency. This frequency adjustment mechanism allows the system to maintain synchronization and detection accuracy without requiring a crystal oscillator, thereby reducing hardware complexity and cost.
3Device complexity
If the local oscillation frequency of the physiological detection device is different from the host oscillation frequency, then the system can operate with simpler hardware, but the physiological value calculation accuracy decreases
Solution Approach 1:
The patent implements a feedback mechanism where the host calculates a correction parameter based on the ratio between reference data parameters and receiving data parameters, then transmits this correction parameter back to the physiological detection device. The device uses this feedback to adjust its local oscillation frequency, ensuring synchronization with the host and maintaining calculation accuracy while preserving hardware simplicity.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting the oscillation frequency of the physiological detection device to match the host's oscillation frequency. This frequency adjustment mechanism allows the system to maintain synchronization and detection accuracy without requiring a crystal oscillator, thereby reducing hardware complexity and cost.
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 system achieves high accuracy in physiological data processing by correcting for frequency mismatches and reducing hardware complexity, thereby enhancing the reliability and cost-effectiveness of portable and wearable health monitoring devices.
Implementation Method 1
a physiological detection device (11) employing an adjustable oscillator (111)
Implementation Method 2
A non-invasive physiology detection utilizes a red light beam (wavelength of about 660 nm) and an infrared light beam (wavelength of about 910 nm) to illuminate body tissues, and measures physiological characteristics through detecting a light intensity variation of penetrating light based on that the oxyhemoglobin and the deoxyhemoglobin have different absorptivities for specific light spectrum
Data Source
AI summary
There is provided a physiological detection system including a physiological detection device and a host. The physiological detection device is configured to transmit a physiological data series to the host according to a local oscillation frequency. The host is configured to calculate a physiological value according to the physiological data series and determine a correction parameter according to a receiving data parameter and a reference data parameter, wherein the correction parameter is configured to correct the physiological value, process the physiological data series or adjust the local oscillation frequency of the physiological detection device.