Extraction and processing method based on temperature signal of elbow joint orthosis
By extracting and processing the temperature signal of the elbow joint orthosis, the problem that traditional methods cannot effectively detect the elbow joint temperature is solved, and high-precision, real-time, and anti-interference temperature measurement is achieved, which promotes the rehabilitation of the elbow joint.
Patent Information
- Application Number
- CN202510214964.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-04-29
AI Technical Summary
Traditional elbow joint orthosis cannot effectively detect the temperature of the elbow joint, resulting in slowing recovery of the injured elbow joint, and the temperature signal extraction is easily affected by environmental factors, with low accuracy, poor real-time performance, and weak anti-interference ability.
By obtaining the initial signal, deciding the upper and lower contours of the input signal, calculating the average value, obtaining the characteristic signal, fitting the maximum and minimum values points, obtaining the mean of the upper and lower envelopes, converting them into digital signals, and obtaining the output signal through arithmetic average.
It realizes high-precision temperature measurement, ensures that the data is accurate and reliable, has strong real-time performance, can quickly reflect the immediate changes in temperature, has good anti-interference and high stability.
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Figure CN119903326A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of signal processing, and in particular to a method for extracting and processing temperature signals based on an elbow joint orthosis. Background Art
[0002] With the continuous development of science and technology, accurate measurement and control of temperature has become increasingly important in many fields. In industrial production, such as chemical, metallurgical, and electronic industries, accurate temperature monitoring is required to ensure the safety and quality of the production process; in scientific research, many experiments have high requirements for temperature accuracy; in daily life, smart home systems, medical equipment, etc. also rely on temperature data. Traditional temperature measurement methods have limitations such as low accuracy and susceptibility to interference, while the development of digital technology makes the extraction and processing of temperature digital signals simpler. In real life, due to various unexpected situations, such as various traffic accidents of all sizes and various construction accidents in the construction industry during construction, a large number of elbow injury cases occur every year. After surgery, elbow joints are usually assisted in rehabilitation by wearing elbow orthoses. Traditional elbow orthoses cannot effectively detect the temperature of the elbow joint, which slows down the recovery of the injured elbow joint. By extracting and processing the temperature signal of the elbow orthosis, the temperature of the elbow joint can be monitored in real time, which helps the elbow joint to perform rehabilitation activities in a comfortable environment. The extraction and processing of elbow orthosis temperature signals has many advantages. It can achieve high-precision temperature measurement, ensure accurate and reliable data, strong real-time performance, and can reflect temperature changes in time. Good anti-interference performance ensures signal stability and ensures the effective operation of signal extraction and processing. Traditional temperature signal extraction has some obvious disadvantages. First, the accuracy is often limited and is easily affected by external environmental factors and measurement errors, resulting in inaccurate measurement results. Secondly, the real-time performance may be poor and cannot quickly reflect the immediate changes in temperature. Traditional methods may have weak anti-interference ability and are easily affected by external electromagnetic interference, resulting in signal distortion. The adaptability in complex environments is poor and may require tedious adjustments and maintenance work. These shortcomings have limited its use in many advanced application scenarios to a certain extent. Summary of the invention
[0003] 1. Technical issues to be solved
[0004] In order to solve the above problems, the present invention provides a method for extracting and processing temperature signals based on an elbow joint orthosis.
[0005] (II) Technical solution
[0006] The specific technical solution provided by the present invention is: a method for extracting and processing temperature signals based on an elbow joint orthosis, comprising the following steps:
[0007] 1. A method for extracting and processing a signal, characterized in that it comprises the following steps:
[0008] S1. Obtain the initial signal x(t);
[0009] S2, input the initial signal x(t) as the input signal u(t), and set i=1;
[0010] S3, extracting the upper and lower contours of the input signal u(t) and calculating the average value, thereby obtaining the characteristic signal m0(t) of the input signal u(t);
[0011] S4, compare the number of maximum points and minimum points in the characteristic signal m0(t) to see whether the difference is 1 or 0: if not, the characteristic signal m0(t) is returned as the input signal to execute step S3; if yes, the characteristic signal m0(t) is used as the maximum characteristic signal to execute step S5;
[0012] S5, transforming the characteristic signal m0(t) into a digital signal m(t) through A / D;
[0013] S6. Perform arithmetic averaging on the obtained multiple groups of digital signals m(t) to obtain an output signal M(t).
[0014] 2. The signal extraction and processing method according to claim 1 is characterized in that the step extracts the upper and lower parts of the input signal u(t) and calculates the average value to obtain the characteristic signal m0(t) of the input signal u(t): collects the maximum and minimum points of the input signal u(t), marks the maximum point as X max (1) to X max (n1), the minimum point is marked as X min (1) to X min (n2), where n1 and n2 represent the number of maximum and minimum points respectively;
[0015] For the collected maximum point X max (1) to X max (n1) is fitted to obtain the upper envelope x1(t) of the input signal u(t) and the collected minimum point X min (1) to X min (n2) is fitted to obtain the lower envelope x2(t) of x(t). According to formula (1), the mean of the upper envelope x1(t) and the lower envelope x2(t) is calculated to obtain the characteristic signal m0(t).
[0016] m0(t)=0.5×x1(t)+0.5×x2(t) (1).
[0017] 3. The signal extraction and processing method according to claim 2, characterized in that the fitting formula (2) of the upper envelope x1(t) and the lower envelope x2(t) is:
[0018]
[0019] By fitting the line, the characteristic parameters of the signal can be extracted more accurately to facilitate signal processing.
[0020] 4. The signal extraction and processing method according to claim 1 is characterized in that the formula for converting the characteristic signal m0(t) into a digital signal m(t) through A / D in step S5 is:
[0021]
[0022] Wherein m1(t) is the value obtained by A / D conversion of the upper envelope x1(t) in the above 2, and m2(t) is the value obtained by A / D conversion of the lower envelope x2(t) in the above 2.
[0023] 5. The signal extraction and processing method according to claim 1 is characterized in that the formula used to obtain the output signal M(t) by performing arithmetic averaging on the multiple groups of digital signals m(t) obtained in step S6 is:
[0024] M(t)=0.5×m1(t)+0.5×m2(t) (4).
[0025] (III) Beneficial effects of the present invention
[0026] The present invention provides a method for extracting and processing temperature signals based on an elbow joint orthosis, which solves the disadvantage that the traditional elbow joint orthosis cannot extract temperature signals, and the temperature signal extraction is easily affected by environmental factors. The method makes the temperature signal extraction of the elbow joint orthosis more stable, and can achieve high-precision temperature measurement, ensuring that the data is accurate and reliable and can quickly reflect the instantaneous change of temperature. The method has the advantages of simple algorithm, high measurement accuracy, and strong real-time performance. The simple algorithm execution can integrate the temperature signal waveform containing multiple frequency components, and multiple runs of the algorithm can complete the arithmetic average of multiple signal components, that is, obtain a stable output signal. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 It is a schematic diagram of temperature sensor installation based on a method for extracting and processing temperature signals of an elbow joint orthosis of the present invention.
[0028] Figure 2 The schematic diagram of the structure of the method for extracting and processing the temperature signal of the elbow orthosis according to the present invention is as follows:
[0029] Figure 3 The present invention discloses a COMSOL elbow joint temperature physical field diagram based on an extraction and processing method of a temperature signal of an elbow joint orthosis.
[0030] Figure 4 The present invention is a flow chart of a method for extracting and processing temperature signals of an elbow orthosis.
[0031] The markings in the figure are as follows: 1-temperature sensor, 2-data processing unit, 3-forearm support, 4-motor, 5-joint, 6-connecting rod, 7-upper arm support. DETAILED DESCRIPTION
[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention is further explained in detail below in conjunction with the embodiments. It should be clear that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
[0033] The present invention provides a method for extracting and processing a temperature signal of an elbow joint orthosis, comprising the following steps:
[0034] S1. Obtain the original signal x(t);
[0035] The present invention is a method for extracting and processing a temperature signal of an elbow joint orthosis, wherein an initial signal x(t) is a continuous voltage change which is proportional to the temperature.
[0036] S2, input the initial signal x(t) as the input signal u(t), and set i=1;
[0037] S3, extracting the upper and lower contours of the input signal u(t) and calculating the average value, thereby obtaining the characteristic signal m0(t) of the input signal u(t);
[0038] The present invention is a method for extracting and processing the temperature signal of an elbow joint orthosis. The method for extracting the upper and lower contours of the input signal u(t) and averaging to obtain the characteristic signal m0(t) of the input signal u(t) is as follows: collecting the maximum and minimum points of the input signal u(t), marking the maximum point as X max (1) to X max (n1), the minimum point is marked as X min (1) to X min (n2), where n1 and n2 represent the number of maximum and minimum points respectively;
[0039] For the collected maximum point X max (1) to X max(n1) is fitted to obtain the upper envelope x1(t) of the input signal u(t) and the collected minimum point X min (1) to X min (n2) The lower envelope x2(t) of x(t) is obtained by fitting using formula (2);
[0040] By using formula (1), the average value of the upper envelope x1(t) and the lower envelope x2(t) is obtained to obtain the characteristic signal m0: ( t),
[0041] By using formula (2), the fitting values of the upper envelope x1(t) and the lower envelope x2(t) are calculated.
[0042] m0(t)=0.5×x1(t)+0.5×x2(t) (1).
[0043]
[0044] S4, compare the number of maximum points and minimum points in the characteristic signal m0(t) to see whether the difference is 1 or 0: if not, the characteristic signal m0(t) is returned as the input signal to execute step S3; if yes, the characteristic signal m0(t) is used as the maximum characteristic signal to execute step S5;
[0045] S5, transforming the characteristic signal m0(t) into a digital signal m(t) through A / D;
[0046] The present invention is a method for extracting and processing a temperature signal of an elbow joint orthosis, wherein the characteristic signal m0(t) is converted into a digital signal m(t) through A / D according to formula (3).
[0047]
[0048] Where m1(t) is the value obtained by A / D conversion of the upper envelope x1(t), and m2(t) is the value obtained by A / D conversion of the lower envelope x2(t).
[0049] The present invention is a method for extracting and processing temperature signals based on an elbow joint orthosis, wherein, through formula (4), multiple groups of digital signals m(t) are arithmetic averaged to obtain an output signal M(t).
[0050] M(t)=0.5×m1(t)+0.5×m2(t) (4)
[0051] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for extracting and processing a signal, characterized in that: The following steps are involved: S1. Obtain the initial signal x(t); S2, input the initial signal x(t) as the input signal u(t), and set i=1; S3, extracting the upper and lower parts of the input signal u(t) and calculating the average value, thereby obtaining the characteristic signal m0(t) of the input signal u(t); S4, compare the number of maximum points and minimum points in the characteristic signal m0(t) to see whether the difference is 1 or 0: if not, the characteristic signal m0(t) is returned as the input signal to execute step S3; if yes, the characteristic signal m0(t) is used as the maximum characteristic signal to execute step S5; S5, transforming the characteristic signal m0(t) into a digital signal m(t) through A / D; S6. Perform arithmetic averaging on the obtained multiple groups of digital signals m(t) to obtain an output signal.
2. The signal extraction and processing method according to claim 1, characterized in that: The step extracts the upper and lower parts of the input signal u(t) and calculates the average value, thereby obtaining the characteristic signal m0(t) of the input signal u(t): collect the maximum and minimum points of the input signal u(t), and mark the maximum point as X max (1) to X max (n1), the minimum point is marked as X min (1) to X min (n2), where n1 and n2 represent the number of maximum and minimum points respectively; For the collected maximum point X max (1) to X max (n1) is fitted to obtain the upper envelope x1(t) of the input signal u(t) and the collected minimum point X min (1) to X min (n2) is fitted to obtain the lower envelope x2(t) of x(t). According to formula (1), the mean of the upper envelope x1(t) and the lower envelope x2(t) is calculated to obtain the characteristic signal m0(t). m0(t)=0.5×x1(t)+0.5×x2(t) (1).
3. The signal extraction and processing method according to claim 2, characterized in that: The fitting formula (2) for the upper envelope x1(t) and the lower envelope x2(t) is: By fitting the line, the characteristic parameters of the signal can be extracted more accurately to facilitate signal processing.
4. The signal extraction and processing method according to claim 1, characterized in that: The formula for converting the characteristic signal m0(t) into a digital signal m(t) through A / D in step S5 is: Wherein m1(t) is the value obtained by A / D conversion of the upper envelope x1(t) in the above 2, and m2(t) is the value obtained by A / D conversion of the lower envelope x2(t) in the above 2.
5. The signal extraction and processing method according to claim 1, characterized in that: The formula used to obtain the output signal M(t) by performing arithmetic averaging on the obtained multiple groups of digital signals m(t) in step S6 is: M(t)=0.5×m1(t)+0.5×m2(t) (4).