TW202237029A - Upper limb trembling analysis device and method for Parkinson's disease apply Doppler radar microwave sensing basic principle to perform detection of upper limb trembling - Google Patents

Abstract

The invention provides an upper limb trembling analysis device and method for Parkinson's disease. More particularly, the invention relates to an upper limb trembling analysis device and method for Parkinson's disease applying time domain feature parameters of array radar microwave beam. The device comprises a voltage-controlled oscillator, a power amplifier, two filters, an antenna transmitter, a mixer, a receiving antenna, an analog-to-digital transformer; and a digital signal processor.

Description

An analysis device and method for Parkinson's disease upper extremity tremor

The present invention proposes an upper limb tremor analysis device and method for Parkinson's disease, in particular a quantitative analysis device for Parkinson's disease upper limb tremor quantitative analysis device for time-domain characteristic parameters of arrayed radar microwave beams.

In the medical field, "Parkinson's disease (PD)" is a chronic neurodegenerative disease that can seriously affect the central nervous system, and Parkinson's disease is more likely to occur in middle-aged and elderly people, and it is becoming more and more popular year by year rising trend. Typical Parkinson's disease is mainly diagnosed by symptoms, while the main manifestations of Parkinson's disease include motor syndrome, which is a collective name for several movement disorders with similar symptoms.

Among the main manifestations of several movement disorders in Parkinson's disease, "Essential Tremor (ET)" is the main manifestation. Essential tremor is often accompanied by intonation and slight gait abnormalities. Patients usually start with the upper limbs (mainly affecting the upper limbs), and gradually affect the head, lower limbs, trunk, vocal and facial muscles, mainly manifested as "postural tremor (Postural tremor) Tremor, PT)". The "postural tremor" also includes Kinetic Tremor, Action Tremor, or Resting Tremor, and the tremor frequency is about 4Hz to 8Hz.

The aforementioned "postural tremor" is a reflexive tremor that usually appears and disappears quickly (only lasts a few seconds). As the tremor amplitude increases, it will become difficult to control the tremor and even affect normal work. The tremor amplitude and tremor frequency of "postural tremor" often change under different actions and different postures, but the tremor can still be reliably suppressed by itself.

In clinical medicine, physicians can assess the severity of tremors by the frequency of tremors, the duration of tremors, and the amplitude of tremors. Usually, when Parkinson's disease is onset, its frequency is about 8 Hz to 12 Hz, and with the development of the disease and the increase of age, the tremor frequency will gradually decrease, while the tremor amplitude will gradually increase.

In the field of traditional clinical medicine, there are early diagnosis methods and related technologies for Parkinson's disease (PD), including "blood drawing", "brain computerized tomography (CT)" technology, "magnetic resonance imaging (MRI) )” technology, “Functional MRI (FMRI)” technology, or “brain positron emission tomography” (PET).

As mentioned above, the "blood drawing" is to detect the parameters related to blood oxygen concentration in different regions of the brain, and then evaluate the corresponding brain regions that perform various functions in the brain.

As mentioned above, "magnetic resonance imaging" technology and "functional magnetic resonance imaging" technology use strong magnetic field imaging to obtain contrast images of different tissues in the brain, and then use computer calculations to obtain images, which can be interpreted by clinicians relevant lesions and make the most appropriate clinical diagnosis.

However, in clinical practice, the actual operation of the brain cannot be fully understood by the images obtained, mainly because the number of substantia nigra cells in the midbrain is not large, even if all the substantia nigra cells die, the nerves in this area will There is still no obvious change in the structure. Therefore, even with the use of "magnetic resonance imaging" technology, "functional magnetic resonance imaging" technology, or "brain computerized tomography" technology and other image scanning technologies, it is still impossible to accurately distinguish Parkinson's disease The difference between the disease and the normal brain is not very helpful for the early diagnosis of the disease.

Furthermore, since the equipment of image scanning technologies such as "magnetic resonance imaging" technology, "functional magnetic resonance imaging" technology, or "brain computerized tomography" technology is quite expensive, and the equipment occupies a huge area, and in It takes quite a long time to conduct the examination, and the cost of use is too high, and early screening cannot be performed, and the aforementioned several types of magnetic resonance imaging equipment are only applicable to the medical environment, and cannot be applied to the PA Home care use in patients with Kinson's disease.

In addition to the above-mentioned equipment, there is another "brain AV133 positron scan" (PET), which is a radioactive tracer. According to the weakening of the radioactive signal, the severity of Parkinson's disease can be accurately assessed, and normal aging can be segmented or Parkinson's disease, and can be used as a benchmark for correctly evaluating drug efficacy, prognosis, or disease severity. However, this "brain AV133 positron scan" technology also has problems with the cost and space of the aforementioned equipment, and it is still It is not suitable for home care use of patients with Parkinson's disease.

Please refer to FIG. 1 , the following is a basic principle of Doppler radar microwave sensing in the conventional technical field. Because the basic principle of sensing can be used in the present invention, a description of the basic principle is proposed here, wherein the basic principle of Doppler radar microwave sensing is to transmit incident radio waves to the target via the antenna, and touch ( The object to be tested generates reflected waves, and the frequency of the reflected waves changes with the moving state of the object (to be tested).

Still please refer to Fig. 1, if a kind of Parkinson's disease upper limb tremor analysis device used in the present invention is used for sensing, if the subject's upper limb trembles regularly or irregularly, and the incident wave hits the trembling upper limb, then the wavelength and The phase will change, and there will be a noticeable difference with the dither frequency and dither amplitude.

Continue please refer to Fig. 1, be used in a kind of Parkinson's disease upper extremity tremor analysis device of the present invention, have the incident electric wave of radar microwave, is provided by the oscillator (Oscillator) 101 Carrier intermediate frequency signal (IF Frequency), through the resonant circuit ( Resonant Circuit) 102 determines the oscillation frequency, and the active element (Negative Resistance Circuit) 103 with negative resistance characteristics will convert the DC power into radio frequency power, and then up-convert the frequency to radio frequency by the up-converting element 104, and pass through the antenna TX (Transmit Antenna) emits a radio wave signal.

，以及相角

(其中當 S = jω _IF ， ω為頻率)時，即X為輸入訊號，H為放大器， Y為輸出，而產生轉移函數，則可形成振盪物理現象。 As shown in FIG. 1, the oscillation frequency is changed by the voltage-controlled oscillator 105, and at a specific frequency, the feedback gain value is

, and the phase angle

(When S = jω _IF , ω is the frequency), that is, X is the input signal, H is the amplifier, Y is the output, and a transfer function is generated, which can form an oscillation physical phenomenon.

(01) As shown in Figure 1, after the receiving antenna RX (Receive Antenna) receives the reflected radio signal, it is first lowered to the intermediate frequency by the down-frequency component, and the oscillator 101 will provide the local signal (Local Signal), and the mixer (Mixer) Mix the reflected radio signal with the local signal, as shown in (01):

(01)

The symbol of formula (01) is expressed as:

V is the reflected wave signal;

t is time;

A _IF is the amplitude of the intermediate frequency signal;

A _LO is the amplitude of the local signal;

ω _IF = 2π f _IF is the frequency of the intermediate frequency signal ;

ω _LO = 2π f _LO is the frequency (Local Frequency, Lo) of the local signal (Local Signal, LoS).

Still as shown in Figure 1, after that, after the output of the mixer, an output signal with a frequency of f _LO ± f _IF can be generated, and then sent to the back-end digital signal processor (DSP) for signal pre-processing, characteristic parameters extraction, and analysis applications.

(02) Continued as shown in Figure 1, when applying the Doppler radar microwave of the above-mentioned conventional technology to the sensing of non-contact physiological signals, assuming that there is a single incident radio wave signal T (t) of the Doppler radar microwave, it can be expressed as for:

(02)

(03) After passing through the air for a distance of d, the reflected signal R(t) can be expressed as:

(03)

Where λ is the wavelength of the radar microwave emission frequency in the air.

(04) The displacement x(t) caused by upper limb tremor can be expressed as A _x sin (ω _x t) , and the base frequency signal B(t) after mixing the signal T(t) and the signal R( t) is:

(04)

After frequency analysis, the frequency component after mixing can be obtained as ωx , which is the frequency caused by upper limb tremor.

Therefore, as mentioned above, through the application of Doppler radar microwave sensing principle, radar microwave can be used in the detection of non-contact sensing physiological state, and radar microwave can not only be used for the detection of dynamic objects, but also has been applied to Applications in related fields such as UAV/vehicle collision avoidance control, intelligent traffic monitoring, and intrusion detection.

In view of solving the foregoing problems and achieving the effect of early detection and early treatment, the present invention proposes an analysis device and method for Parkinson's upper limb tremor.

A kind of Parkinson's disease upper extremity tremor analysis device of the present invention comprises the following components: a voltage controlled oscillator, a power amplifier, two filters (Filter) comprising a first filter and a second filter, an antenna transmitting end, a wave mixer receivers, receiving antennas, analog-to-digital converters, and digital signal processors.

A kind of Parkinson's disease upper limb tremor analysis method of the present invention has included following steps:

Firstly, the reflected intermediate frequency signal is captured, the signal is digitally filtered, the signal is amplified, the time domain characteristic parameter is extracted, and the signal is analyzed in the time domain. Then, frequency-domain feature parameter extraction is performed, and signal frequency-domain analysis is performed. Continue to perform signal mapping conversion, perform single-point grayscale or color feature parameter conversion, and perform two-dimensional feature pattern analysis to assess the severity of upper limb tremor.

The present invention is a device and method for quantitative analysis of the time-domain characteristic parameters of array radar microwave beams in Parkinson's disease upper limb tremor. It can be developed and applied to Parkinson's disease patients through non-invasive sensing methods, and can be used at home. Smart detection device for self-assessment and care use.

The present invention is an upper limb tremor analysis device and method for Parkinson's disease, which is a personalization-centered intelligent sensing, intelligent screening, action display, and personalized decision-making support and other functions of care and use devices to achieve prevention and early diagnosis the goal of.

The invention discloses an upper limb tremor analysis device and method for Parkinson's disease, which has predictive functions such as upper limb dynamic tremor measurement, tremor degree quantification, and automatic numerical data analysis.

The present invention is a Parkinson's disease upper limb tremor analysis device and method, which uses the basic principle of Doppler radar microwave sensing to detect Parkinson's disease (PD) upper limb tremor. The upper limbs of the human body are fixed, and the frequency of the reflected electric wave will be very close to the frequency of the emitted electric wave.

An upper limb tremor analysis device and method for Parkinson's disease of the present invention uses a radar microwave sensing device to detect dynamic objects with radar microwaves, so as to detect subtle changes in the upper limb dynamics of the subject.

The present invention provides a Parkinson's disease upper limb tremor analysis device and method. In addition to detecting moving objects, radar microwaves can also measure the range and radial velocity of objects.

An upper limb tremor analysis device and method for Parkinson's disease of the present invention has the advantage that it is not affected by environmental factors (day and night, temperature, humidity), and can detect the dynamics of the target object through a non-contact sensing method. Related parameters.

In order to make the above purpose, technical features, and advantages more comprehensible, the following is a detailed description of preferred embodiments with accompanying drawings.

Please refer to the description and description of the accompanying drawings below, so as to describe the embodiment of the present invention according to the schematic diagram. In addition, in the schematic diagrams, the same component symbols represent the same components, and for clarity, the size or thickness of the components may be exaggerated.

As shown in Figure 2, it is a "Parkinson's upper limb tremor analysis" device of the present invention, including a voltage-controlled oscillator (Power Source and Oscillator) 201, a power amplifier (Amplifier) 202, and two filters (Filter). A first filter 203 and a second filter 207 , an antenna transmitting end (TX) 204 , a mixer (Mixer) 205 , and a receiving antenna (RX) 206 .

In addition, as shown in FIG. 2 , an analog-to-digital converter (Analog-to-Digital Converter, ADC) 210 and a digital signal processor (Digital Signal Processor, DSP) 211 are also included.

As shown in Figure 2, the present invention uses the output signal of the voltage-controlled oscillator 201 to be amplified by the power amplifier 202, and then passed through the first filter 203 and the second filter 207 to separate it into two signals with the same phase and large amplitude. The same signal is sent to the antenna transmitting end 204 and the mixer 205 respectively, and the signal entering the mixer 205 is a local signal (LoS).

Continued as shown in Figure 2, when the transmitted radio signal detects the object, the reflected signal is received by the receiving antenna 206, passes through the second filter 207, and then is amplified by the low noise amplifier 208, and then fed into the mixer The device 205 generates a fundamental frequency signal (IF) after being down-converted by the mixer 205. In the time domain, it can be used as a periodic correlation application for observing the respiration or heartbeat of an organism, and then calculate the frequency of respiration and heartbeat.

Still as shown in Figure 2, the radar microwave sensing device of the present invention can be divided into two parts, a part of which is the aforementioned radio frequency transmitting unit, which generates radar microwaves through radio frequency technology, and then transmits radio waves through the transmitting antenna 204, and uses The receiving antenna 206 receives the reflected wave and performs difference frequency analysis.

As shown in Figure 2, the other part is an embedded processing unit, which sends the intermediate frequency signal generated by the output of the mixer to the analog-to-digital converter 210 and the digital signal processor 211 for digitization and time domain /Frequency domain parameter analysis, followed by calculation application analysis, and upper limb tremor quantitative analysis, so as to complete the entire detection process.

Still as shown in FIG. 2 , the present invention converts the radio wave signal into a digital signal Bn through an analog-to-digital converter (Analog-to-Digital Converter, ADC) 210 through the time-domain reflected radio signal, where n=1, 2, 3, …, N, N is the number of sampling points, which can be calculated by zero-crossing point (Zero-Crossing, ZC), and the sum of amplitude difference ((Amplitude Difference, AD), Willison amplitude (Willison Amplitude, WANP), and oscillation The mean energy (Mean Energy, ME) of the signal and other parameters can be directly obtained from the time-domain signal. The time-domain parameter (Time-domain Parameter) can be used to observe the severity of upper limb tremor, as shown in formulas (05) to (10) as follows:

(05)

，θ _ZC = 0.10為零交越點閥值                 (06) Zero crossing point:

(05)

, θ _ZC = 0.10 is the zero crossing point threshold (06)

，

(07) Sum of amplitude differences:

,

(07)

,

(08)

, θ WAMP=0.20為Willison振幅值     (09) Willison amplitude:

,

(08)

, θ WAMP =0.20 is the Willison amplitude value (09)

(10) Average energy of the oscillating signal:

(10)

When physical quantities such as the zero-crossing point (ZC), the sum of the amplitude difference (AD), the Willison amplitude (WAMP), and the mean energy (ME) of the oscillation signal all have obvious changes, it can show that the upper limbs have obvious changes. tremor symptoms.

The present invention uses the quantitative scale presented by the aforementioned four parameters to carry out the screening of normal, essential tremor (ET), and related tremors such as Parkinson's disease (PD). It is worth noting that the present invention uses the basic principle of Doppler radar microwave sensing to detect the tremor of the upper limbs of Parkinson's disease (PD). And the frequency of the reflected radio wave will be very close to the frequency of the transmitted radio wave. The present invention has an advantage in use, that is, radar microwave sensing usually has the characteristics of "non-invasive" and "non-contact", so when using radar microwave sensing to sense the subject/user, it does not necessarily need to be worn on the body .

As shown in FIG. 3A , it is an operation description of the planar radar microwave array sensing device 310 system of the present invention, that is, an operation description of the receiving antenna (RX) 206 shown in FIG. 2 . And still as shown in Figure 3A, the planar radar microwave array sensing device 310 system of the present invention comprises a planar radar microwave array and a movable structural element (not shown in Figure 3A), and the movable structural element is a motor Driving can change the scanning angle of the radar microwave array and achieve the effect of movement.

Still as shown in Figure 3A, the present invention uses the "planar radar microwave array sensing device" 310 system to emit "array radar beams" to detect the tremors of the upper limbs and hands with concentrated beams, and then use the receiving reflection The wave function "receiver unit" (not shown in Figure 3A) to receive the reflected wave.

個(亦及複數個)的雷達陣列，最少為一個

的雷達陣列(若當 M = 2；則有4個雷達微波感測器元件)。而該平台可提供一個方位角上

個波束的陣列，在同一時間可將偵測範圍，從點擴展到區域波束所能覆蓋的範圍，藉由嵌入式系統快速切換

個驅動波束的控制(近似同步)，此種切換驅動方式可有效率控制及減少後功率放大器的損耗，使用陣列式掃描可增加掃描的覆蓋範圍，及降低方向所造成影響。 Figure 3B is the radar microwave sensor element 311 of the planar radar microwave array sensing device 310 system of the present invention, as on the platform of the aforementioned device 310 plane, it can be installed

(and plural) radar arrays, at least one

Radar array (if M = 2; then there are 4 radar microwave sensor elements). And the platform can provide an azimuth on the

An array of beams can extend the detection range from a point to an area covered by the beam at the same time, and can be quickly switched by the embedded system

The control of two driving beams (approximately synchronous), this switching driving method can effectively control and reduce the loss of the power amplifier, and the use of array scanning can increase the scanning coverage and reduce the impact of the direction.

個雷達微波感測元件，裝設在前述裝置310系統平面的平台上，每個雷達微波感測器元件311，具有包含發射電波與接收反射電波的功能，以快速切換驅動發射電波，應用

個驅動波束，以偵測上肢震顫的狀況。通常雷達微波束的指向與等相位面垂直，在均勻口徑的幅射情況下，3dB波束寬度的寬度因子k = 0.886，則每個波束寬度：

(11) Still as shown in Figure 3B, when

Each radar microwave sensing element is installed on the platform of the system plane of the aforementioned device 310, and each radar microwave sensing element 311 has the functions of transmitting electric waves and receiving reflected electric waves, and is driven by fast switching to transmit electric waves.

drive beams to detect tremors in the upper extremities. Usually, the direction of the radar microwave beam is perpendicular to the equiphase plane. In the case of uniform aperture radiation, the width factor k = 0.886 of the 3dB beam width, then each beam width:

(11)

in:

λ is the wavelength of the emitted wave;

個雷達微波感測器元件)； M is the number of array elements (M=4;

a radar microwave sensor element);

a is the array element spacing;

θ is the scanning angle, that is, the beam pointing direction.

As shown in Figure 3B and formula (11), the planar radar microwave array sensing device 310 system of the present invention can increase the spacing a of the array elements within a limited range, so as to reduce the number of array elements to achieve the same aperture and reduce costs target, and concentrate the radar microwave beam to detect hand tremors, and then use the motor to control the range of the concentrated radar beam.

As shown in FIG. 3C, each single radar microwave sensor element 311 of the planar radar microwave array sensing device 310 system of the present invention can emit a single radar beam, including a back lobe (Back lobe) 31, Main lobe (Main lobe) 32, and side lobe (Side lobe) 33.

As shown in Fig. 3A, Fig. 3B, and Fig. 3C, the present invention uses single-point radar microwaves to expand into array radar microwave beams, and uses a movable mechanism to change the scanning angle of the array beams, and uses a microcontroller to switch beams, thereby increasing The scanning range in space is more capable of accurately detecting the dynamics of the target and other related parameters for moving objects.

As shown in Figure 4, a method of "Parkinson's disease upper limb tremor analysis" of the present invention is also a time-domain/frequency-domain characteristic parameter extraction and signal processing method of the present invention. The steps include the following: first, according to the frequency mixing The intermediate frequency signal generated by the output of the device is converted from the reflected intermediate frequency signal in the original time domain to analog digital signal conversion, and firstly captures the reflected intermediate frequency signal 401, then performs digital signal filtering processing 402, and then performs signal amplification 403 , and then execute the time-domain feature parameter extraction 404, continue, when the signal time-domain analysis step 405 is performed, the zero-crossing point (ZC), the sum of the amplitude difference (AD) and the Willison amplitude are directly extracted from the reflected signal in the time domain (WANP), and related time-domain characteristic parameters such as the mean energy (ME) of the oscillation signal, in order to quantify and evaluate the severity of upper limb tremor. As the severity of upper limb tremor increases, the physical change values of the four time-domain parameters will increase in severity and increase, so as to quantify the level of upper limb tremor, which can be divided into normal (Normal), essential tremor (ET) , postural tremor (PT), and tremor caused by Parkinson's disease (PD).

Still as shown in FIG. 4 , or perform frequency-domain feature parameter extraction 406, and then perform signal frequency-domain analysis 407, that is, convert the reflected signal in the time domain from the time domain to the frequency domain to obtain the parameters in the frequency domain (energy amplitude and frequency), through the energy amplitude change and frequency distribution range of high-frequency and low-frequency components, to quantify the level of upper limb tremor, can be divided into the aforementioned normal, essential tremor, postural tremor, and Parkinson's disease tremor. As for the frequency domain parameters, as the severity of upper limb tremor increases, high-frequency components will gradually appear, that is, the energy amplitude will gradually increase in the high-frequency range.

,

(12) As shown in FIG. 4, the reflection signal in the time domain obtained by each array element is subjected to signal mapping conversion 408, and then the single-point grayscale or color feature parameter conversion 409 is performed, followed by two-dimensional feature pattern analysis (recombination Two-dimensional feature pattern) 410, and the conversion formula of the signal is as follows:

,

(12)

In formula (12), the NB parameter can change the resolution of the converted signal (NB= 8, 10, 12);

為計算絕對值運算子； And in (12),

For calculating the absolute value operator;

為取最大值運算子； Still in formula (12),

is the maximum value operator;

In formula (12), B _max is the maximum value of the absolute value;

Still in formula (12), the scale of the mapping conversion signal Ф is between 0 and 2 ^NB -1, and then the mapping conversion signal Ф obtained by each array element is converted into a single-point grayscale or color characteristic parameter , that is, two-dimensional feature pattern analysis.

Fig. 5A is a display diagram of an initial state of "Parkinson's disease upper limb tremor analysis" according to the present invention. It can be seen that only the captured waveform can be displayed at the beginning.

的二維特徵圖樣，即藉由二維特徵圖樣的灰階或彩色圖樣的變化，以顯示上肢震顫的量化分析，藉以如圖4步驟411的評估上肢震顫的嚴重程度411。 Fig. 5B is a result display diagram of a "Parkinson's upper limb tremor analysis" of the present invention, which is formed by the final reorganization

The two-dimensional feature pattern, that is, the quantitative analysis of the upper limb tremor is displayed by the change of the grayscale or color pattern of the two-dimensional characteristic pattern, so as to evaluate the severity 411 of the upper limb tremor as shown in step 411 of FIG. 4 .

According to the foregoing, the present invention is an upper limb tremor quantitative analysis device for Parkinson's disease using the time-domain characteristic parameters of the array radar microwave beam. It can be developed and applied to Parkinson's disease patients through non-invasive sensing methods. Smart detection device for home self-assessment and care use. And the present invention is an upper limb tremor analysis device for Parkinson's disease, which is a personalization-centered intelligent sensing, intelligent screening, action display, and personalized decision-making support. Purpose.

In addition, an upper limb tremor analysis device for Parkinson's disease of the present invention has predictive functions such as upper limb dynamic tremor measurement, tremor degree quantification, and automatic numerical data analysis. Moreover, a Parkinson's disease upper limb tremor analysis device of the present invention uses the basic principle of Doppler radar microwave sensing to detect Parkinson's disease upper limb tremor. Fixed, and the frequency of the reflected radio wave will be very close to the frequency of the emitted radio wave.

The present invention uses a radar microwave sensing device to detect dynamic objects with radar microwaves, so as to detect subtle dynamic changes of the upper limbs of the subject. In addition to detecting moving objects in the present invention, radar microwaves can also measure the range and radial velocity of objects. The advantage of the present invention is that it is not affected by environmental factors (day and night, temperature, humidity), and can detect the dynamics of the target object and other related parameters through the non-contact sensing method.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention; all other equivalent changes or modifications that do not deviate from the spirit disclosed in the present invention should be included in the following within the scope of the patent application.

101: Oscillator 102: Resonant circuit 103: Active components 104: up-converting components 105:Voltage Controlled Oscillator 201:Voltage Controlled Oscillator 202: Power Amplifier 203: first filter 204: Antenna transmitter 205: Mixer 206: Receiving antenna 207: Second filter 208: Low noise amplifier 210:Analog to digital converter 211: Digital signal processor 310: Planar radar microwave array sensing device 311: Radar microwave sensor components 31: back lobe wave 32: Main lobe wave 33: side lobe wave a: Spacing

The aforementioned and many other advantages of the present invention will be more clearly presented in the following detailed description of a preferred embodiment with reference to the drawings, wherein it is as follows: FIG. 1 illustrates the basic principle of Doppler radar microwave sensing in the conventional technical field. Fig. 2 is a kind of "Parkinson's disease upper extremity tremor analysis" device of the present invention. FIG. 3A is an illustration of the operation of the planar radar microwave array sensing device of the present invention. Fig. 3B is the basic composition of the planar radar microwave array sensing device of the present invention. FIG. 3C is each single radar microwave sensor element of the planar radar microwave array sensing device of the present invention. Fig. 4 is a method of "Parkinson's upper limb tremor analysis" of the present invention. Fig. 5A is an initial state display diagram of a "Parkinson's disease upper limb tremor analysis" of the present invention. Fig. 5B is a display diagram of the result of "Parkinson's disease upper limb tremor analysis" according to the present invention.

201:Voltage Controlled Oscillator

202: Power Amplifier

203: first filter

204: Antenna transmitter

205: Mixer

206: Receiving antenna

207: Second filter

208: Low noise amplifier

210:Analog to digital converter

211: Digital signal processor

Claims (8)

A Parkinson's disease upper extremity tremor analysis device, comprising at least: a voltage controlled oscillator; a power amplifier; two filters; An antenna transmitter; a mixer; a receiving antenna; an analog-to-digital converter; and A digital signal processor. According to the analysis device of item 1 of the patent scope of the application, wherein the receiving antenna includes a planar radar microwave array sensing device. According to the analysis device of item 2 of the scope of the patent application, wherein the planar radar microwave array sensing device includes M×M radar arrays. According to the analysis device of item 2 of the scope of application, the planar radar microwave array sensing device includes a movable structural element. A method for analyzing Parkinson's disease upper extremity tremor, comprising at least: pick up a reflected intermediate frequency signal; Carry out digital filtering processing of a signal; Carry out a signal amplification; performing a temporal feature parameter extraction; and Carry out a signal time domain analysis; performing a frequency domain feature parameter extraction; and Perform frequency domain analysis of a signal; perform a signal mapping transformation; perform a single-point gray scale or a color feature parameter conversion; and Two-dimensional feature pattern analysis was performed to assess the severity of upper extremity tremor. According to the analysis method of item 5 of the scope of the patent application, wherein the time-domain characteristic parameter includes a zero-crossing point, a sum of amplitude differences, a Willison amplitude, and an average energy of an oscillating signal. According to the analysis method of item 5 of the scope of the patent application, the analysis of the two-dimensional feature pattern includes converting into a single-point gray scale or a color feature parameter. According to the analysis method of Item 5 of the patent application, the severity of the upper limb tremor includes quantifying the grade of the upper limb tremor, which can be divided into normal, essential tremor, postural tremor, and tremor caused by Parkinson's disease.

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