Touch Panel Signal Processing for Pulse Detection
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Solution Overview
Problem
Current devices lack the capability to acquire biological information such as pulse using touch panels, requiring specialized equipment like pulse monitors, which are costly and not integrated with touch interfaces.
Innovation Solution
A signal processing device and method that includes a sampling unit, analysis unit, and peak detection unit to transform touch state data from a touch panel into frequency spectral distribution, allowing the detection of pulse frequency within the touch panel system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a touch panel is used to detect touch state, then the device can acquire touch position and touch strength, but it cannot acquire biological information such as pulse
Solution Approach 1:
The touch panel is designed to perform multiple functions: it detects both conventional touch state information (position, pressure) and biological information (pulse) through the same hardware interface. The signal processing unit analyzes touch state quantities to extract pulse waveforms, enabling the touch panel to serve as both a standard input device and a biological sensor without requiring separate dedicated equipment.
Solution Approach 2:
The patent replaces specialized mechanical pulse detection equipment with an electronic signal processing system. Instead of using dedicated pulse sensors and mechanical measurement devices, the system uses the existing touch panel electronics to detect touch state quantities and processes these signals through frequency spectral analysis to extract pulse information, substituting complex mechanical-biological measurement systems with electronic signal processing.
2Measurement precision
If specialized pulse monitoring equipment is used, then accurate pulse measurement is achieved, but the device cost increases significantly
Solution Approach 1:
The touch panel controller is designed to handle multiple detection tasks simultaneously. It processes touch position and pressure data while also extracting pulse waveforms from the same touch state quantity signals. This multi-functional design eliminates the need for separate pulse monitoring hardware, reducing overall device cost while maintaining measurement capability.
Solution Approach 2:
The system creates a digital representation of the pulse waveform by processing touch state quantity signals. Instead of using dedicated pulse sensors that directly measure physiological signals, the system captures pulse information through the intermediary of touch panel signals, creating a copied version of the pulse waveform that can be analyzed without requiring specialized biological sensing equipment.
3Productivity
If the touch panel processes only basic touch information, then the processing is simple and fast, but biological information cannot be extracted
Solution Approach 1:
The signal processing unit performs preliminary processing on touch state quantity signals by transforming them into frequency spectral distributions before peak detection. This preliminary frequency domain transformation prepares the data for efficient pulse detection by organizing the signal characteristics in a format that facilitates rapid identification of pulse-related frequency components, maintaining processing speed while enabling biological information extraction.
Solution Approach 2:
The system transforms the touch state quantity signal from the time domain to the frequency domain through spectral analysis. This dimensional change in signal representation allows the system to identify pulse information by detecting frequency peaks corresponding to pulse rates, enabling biological information extraction without adding significant processing complexity to the original time-domain touch data.
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 efficient acquisition of pulse information using a touch panel, enhancing user interaction and application functionality by integrating biological data into touch interface devices without the need for additional costly equipment.
Implementation Method 1
an analysis unit configured to determine a frequency spectral distribution by transforming the sample data series into a frequency domain
Implementation Method 2
a peak detection unit configured to detect a peak in a frequency band of a pulse in the frequency spectral distribution, and to find a frequency of the detected peak so as to determine the pulse
Data Source
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AI summary
In the present invention, a sampling unit (20) acquires a sample data sequence of a signal indicating the touch state quantity detected at a touch panel. A discrete Fourier transform unit (40) transforms the sample data sequence into frequency regions. A frequency spectral analysis unit (50) determines a frequency spectral distribution on the basis of the sample data transformed into frequency regions. A peak detection unit (60) detects the peak within a pulse frequency band in a frequency spectrum distribution, and determines the pulse by taking the reciprocal of the frequency of the detected peak.