Artificial intelligence heart disease early warning fingerstall type device

Abstract

The invention provides an artificial intelligence heart disease early warning fingerstall type device comprising a detection block which comprises a light emitting source emitting green light and a light receiver, and the light receiver receives a response light signal of reflecting the green light by a finger of a user; the communication transmission block transmits the response optical signal to an external device and receives an analysis result from the external device, the analysis result is obtained by analyzing the response optical signal from the external device, and the analysis result comprises a time domain index and a frequency domain index related to heart disease monitoring; the control block is electrically connected with the detection block and the communication transmission block, and is used for receiving the analysis result, judging the time domain index and the frequency domain index and then determining whether to send out an alarm or not; and the power supply block is used for supplying power to the detection block, the communication transmission block and the control block. The heart disease can be detected, and the heart disease can be early warned before the symptoms of the heart disease occur.

Description

Technical Field

[0001] The present invention relates to the field of a wearable device for monitoring physiological signals, and in particular to a finger-cuff device that can warn of atrial fibrillation and monitor heart disease. Background Art

[0002] In the past, EKG electrocardiograms were used to monitor the heart, which were large and had to be attached to the chest, making it inconvenient for 24-hour monitoring at home. The ring can be worn on the finger to monitor the heart at any time, especially during sleep. When acute arrhythmia occurs, it may cause sudden death, and sudden death usually cannot be warned.

[0003] When a person suddenly falls to the ground without external injury and dies within 24 hours, it meets the definition of sudden death, but there are different opinions on the onset time limit. Most definitions are that the person is declared dead within one hour after the onset of acute symptoms. According to research, most sudden deaths are caused by heart, including coronary cardiovascular disease, heart failure and arrhythmia. Arrhythmia is a general term for abnormal heart rate. Common types of arrhythmia include atrial fibrillation (AF), ventricular tachycardia, atrial flutter (AF2) and atrial tachycardia (AT), ventricular tachycardia (VT) and heart block, etc. Among them, although the sudden death rate of ventricular arrhythmia is higher, the incidence is not as high as atrial fibrillation (AF).

[0004] Symptoms of irregular heartbeat include palpitations, chest tightness, chest pain, shortness of breath, dizziness, and in severe cases, general weakness, fatigue, heart failure, difficulty breathing, low blood pressure, fainting, or changes in consciousness. Because the above symptoms are the same as those of other causes, they may be ignored or misdiagnosed at the first time, leading to serious consequences. In addition, because up to one-third of patients with atrial fibrillation (AF) are asymptomatic, and most symptomatic patients have paroxysmal attacks, the electrocardiogram does not detect the onset of atrial fibrillation, so the proportion of patients with atrial fibrillation (AF) is seriously underestimated. If atrial fibrillation (AF) and irregular heartbeat (ARR.) are not diagnosed and no treatment is received, the patient's risk of stroke and sudden death will be greatly increased.

[0005] Previous technologies did not use wearable finger-cuff devices, artificial intelligence algorithms, wireless transmission, Internet of Things technology, and cloud platform computing technology. Summary of the invention

[0006] Provided herein is an artificial intelligence heart disease warning finger cuff device, which is a wearable finger cuff device for monitoring the risk of stroke caused by atrial fibrillation (AF) or sudden death caused by acute arrhythmia. Users can wear it on a single finger for a long time, especially on the fingertip without discomfort, and users can put it on or take it off by themselves without the assistance of professionals. This device is easy to use by users through its simple wearing method. The device measures and analyzes physiological signals in one or more periods, and can also transmit the measurement results to an external device for analysis and display on a mobile phone, iPad or computer. It can provide early warning of atrial fibrillation and sudden death, and provide users or others who receive the warning with the opportunity to make or arrange more accurate professional diagnosis and treatment as soon as possible.

[0007] An artificial intelligence heart disease warning finger cuff device is provided herein. By processing and analyzing the measured physiological response light signal, time domain indicators and frequency domain indicators related to monitoring heart disease are obtained, and these indicators are used to comprehensively detect heart disease, thereby warning of heart disease before heart disease symptoms occur.

[0008] Provided herein is an artificial intelligence heart disease warning finger sleeve device, comprising: a detection block, which includes a light source that emits a green light and a light receiver, the light receiver receives a response light signal reflected by a user's finger from the green light; a communication transmission block, which transmits the response light signal to an external device and receives an analysis result from the external device, wherein the analysis result is obtained by analyzing the response light signal by the external device, and the analysis result includes a time domain indicator and a frequency domain indicator that can monitor heart disease; a control block is electrically connected to the detection block and the communication transmission block, and after receiving the analysis result and judging the time domain indicator and the frequency domain indicator, decides whether to issue a warning; and a power supply block, which provides power to the detection block, the communication transmission block and the control block.

[0009] According to the above, an artificial intelligence heart disease warning finger cuff device includes: a detection block, which includes a light source that emits a green light and a light receiver, the light receiver receives a response light signal reflected by a user's finger to the green light; a control and processing block is electrically connected to the detection block, which receives and analyzes the response light signal to obtain an analysis result, wherein the analysis result includes a time domain indicator and a frequency domain indicator that can monitor heart disease, and the control and processing block determines the time domain indicator and the frequency domain indicator to determine whether to issue a warning; a communication transmission block, which transmits at least one of the analysis result and a judgment result of the control and processing block to an external device; and a power supply block, which provides power to the detection block, the control and processing block and the communication transmission block.

[0010] The artificial intelligence heart disease warning finger cuff device provided by the present invention processes and analyzes the measured physiological response light signals to obtain time domain indicators and frequency domain indicators that can monitor heart disease, and uses the comprehensive results of these indicators to detect heart disease, thereby warning of heart disease before heart disease symptoms occur. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 This is a three-dimensional schematic diagram of the appearance of the artificial intelligence heart disease warning finger sleeve device according to the first embodiment of the present invention;

[0012] Figure 2 It is a schematic diagram of the appearance of the artificial intelligence heart disease warning finger sleeve device and the part where the user wears it according to the first embodiment of the present invention;

[0013] Figure 3 It is a system block diagram of an artificial intelligence heart disease warning finger cuff device according to a first embodiment of the present invention;

[0014] Figure 4 A system block diagram of an artificial intelligence heart disease warning finger cuff device according to a second embodiment of the present invention;

[0015] Figure 5 A system block diagram of an artificial intelligence heart disease warning finger cuff device according to a third embodiment of the present invention;

[0016] Figure 6 FIG. 1 is a block diagram of a process for analyzing a response optical signal according to a first embodiment of the present invention.

[0017] Reference Numbers

[0018] 2.8: Artificial intelligence heart disease warning finger cuff device

[0019] 5: Fingers

[0020] 7: Server

[0021] 11: Outer surface

[0022] 21: Inner surface

[0023] 24: Optical receiver

[0024] 25: Green light source

[0025] 27: Red light source

[0026] 32: Relay device

[0027] 33: Processing blocks

[0028] 35: First storage block

[0029] 42: Detection block

[0030] 43: Control block

[0031] 44: Sensing block

[0032] 45: Second storage block

[0033] 46: Communication transmission block

[0034] 47: Power Block

[0035] 48: Warning block

[0036] 51: Detection Light

[0037] 53: Response to light

[0038] 61, 62, 63, 64, 65, 66: Steps

[0039] 82: External devices

[0040] 83: Control / processing block DETAILED DESCRIPTION

[0041] Figure 1 This is a three-dimensional schematic diagram of the appearance of the artificial intelligence heart disease warning finger sleeve device according to the first embodiment of the present invention. Figure 2 This is a schematic diagram of the appearance of the artificial intelligence heart disease warning finger sleeve device and the user's wearing part according to the first embodiment of the present invention. Figure 1 and Figure 2 The artificial intelligence heart disease warning finger sleeve device 2 has a main body with a ring-shaped appearance, which can be sleeved on a finger 5 of the user. When the artificial intelligence heart disease warning finger sleeve device 2 is sleeved on the finger 5, the outer surface 11 of the main body faces outward, and the inner surface 21 faces the skin of the finger 5. The main body of the artificial intelligence heart disease warning finger sleeve device 2 provides a storage space, and relevant detection, control, storage and warning blocks can be set in the main body, wherein the detection light receiver 24, green light source 25 and red light source 27 are exposed to the inner surface 21, and when sleeved on the finger 5, especially at the fingertip position, the light receiver 24, green light source 25 and red light source 27 are located on the side of the finger 5, that is, the light receiver 24, green light source 25 and red light source 27 are located between the fingers and / or on the outside of the fingers, rather than on the same surface as the palm or the back of the palm. Secondly, the arrangement of the light receiver 24, green light source 25 and red light source 27 is Figure 1 and Figure 2The above is only an example, and the light receiver 24 may be located outside the three. Secondly, the green light source 25 and the red light source 27 may also be integrated into a mixed light source, which may emit a light source with a mixed wavelength of red light and green light, or control the emission of red light and green light in sequence. The light source of the present invention may be provided with a plurality of single wavelength light sources, or a combination of a single wavelength and a mixed wavelength light source, or one or more mixed wavelength light sources. In addition, the light source and the light receiver may also be integrated together. Furthermore, the positions of the light receiver 24, the green light source 25 and the red light source 27 avoid the position of the phalanges when the finger is covered, so as to facilitate detection.

[0042] Figure 3 This is a system block diagram of the artificial intelligence heart disease warning finger sleeve device of the first embodiment of the present invention. Please also refer to Figure 1 , Figure 2 and Figure 3 The artificial intelligence heart disease warning finger sleeve device 2 includes a detection block 42, a control block 43, a second storage block 45, a power block 47, an alarm block 48, a communication transmission block 46 and a sensing block 44, and the above blocks / modules / units are all accommodated in the body. The detection block 42 emits a detection light 51 and receives a response light 53, which includes one or more light sources, such as a green light source 25 and a red light source 27 that emit green light and red light, and a light receiver 24 ( Figure 1 ), and the power block 47 provides the power required by the detection block 42. The control block 43 is electrically connected to and communicates with the detection block 42, the second storage block 45, the power block 47, the warning block 48 and the sensing block 44. The control block 43 at least controls the operating frequency of the detection block 42, such as the frequency of emitting the detection light 51 and receiving the response light 53, and accessing the response light 53 signal to the second storage block 45, wherein the control block 43 may include a processor, peripheral circuits and a storage unit for storing firmware, programs and instructions. The second storage block 45, such as a memory and peripheral circuits, is used to store the response light 53 signal. The sensing block 44 may include an accelerometer for detecting acceleration or an electromagnetic sensor / unit / module or a micro-electromechanical module / element that can perform wireless sensing, such as one or more gravity accelerometers or gyroscopes. Secondly, the sensing block 44 can sense the state of the user or / and the user's finger itself, such as whether the user is moving the finger or the finger is stationary, and transmit the sensing result to the control block 43. The control block 43 can control the detection block 42 to detect or / and access the response light 53 signal according to the sensing result, so as to detect or / and communicate in real time. For example, when the sensing block 44 senses that the user's finger 5 is stationary, the sensing result of the finger being stationary can be transmitted to the control block 43, and the control block 43 can control the detection block 42 to detect in real time, so as to obtain a better response light 53 signal.

[0043] Continue to refer Figure 1 , Figure 2 and Figure 3 The communication transmission block 46 communicates with the outside world, transmits the response light 53 signal to the outside world, and sends the analysis result obtained by the external module / device processing the response light 53 signal back to the control block 43. Based on the analysis result obtained by processing the response light 53 signal, the control block 43 determines whether to instruct the warning block 48 to issue a warning to the user or others. The communication transmission block 46 may include relevant modules / components / circuits for short-range or wireless communication, for example but not limited to, including a Bluetooth communication module, a Near Field Communication (NFC) module, a wireless communication module, or a combination of at least two of the above. The power block 47 provides the power required for the operation and operation of each block / module / unit in the artificial intelligence heart disease warning finger sleeve device 2, which may include a charging and power storage module. Furthermore, the control block 43 may further include an automatic gain control (AGC) block to perform an automatic gain control function so that if it is known that the quality of the pulse signal is poor during processing of the pulse signal, the effective portion of the returned physiological response light 53 signal can be increased through the automatic gain control function of the automatic gain control block.

[0044] Continue to refer Figure 1 , Figure 2 and Figure 3 , the relay device 32 at least includes a processing block 33 and a first storage block 35. The relay device 32, such as a receiver, receives the response light 53 signal transmitted from the communication transmission block 46 by wireless communication, and can store it in the first storage block 35 and process and analyze it in the processing block 33 to obtain an analysis result, and then output the analysis result to the communication transmission block 46 for reception. It can be understood that the relay device 32 may include a display block (not shown in the figure) to display the analysis result. Figure 4 This is a system block diagram of the artificial intelligence heart disease early warning finger cuff device of the second embodiment of the present invention. The difference from the first embodiment is that the relay device 32 is connected to a remote server 7 through a network. After the relay device 32 receives the response light 53 signal from the artificial intelligence heart disease early warning finger cuff device 2, it can upload the signal to the cloud server 7 for processing and analysis by wireless or wired means. The server 7 transmits the analysis result to the relay device 32, and then the relay device 32 transmits the analysis result to the artificial intelligence heart disease early warning finger cuff device 2 for deciding whether to warn.

[0045] Figure 5This is a system block diagram of the artificial intelligence heart disease warning finger cuff device of the third embodiment of the present invention. Figure 1 , Figure 2 , Figure 3 and Figure 5 Compared with the artificial intelligence heart disease early warning finger cuff device 2, the control / processing block 83 of the artificial intelligence heart disease early warning finger cuff device 8 can process and analyze the response light 53 signal to obtain an analysis result and a judgment result, and decide whether to activate the warning block 48 to warn the user or others. Secondly, the analysis result and / or judgment result of the control / processing block 83 can also be transmitted to the external device 82 through the communication transmission block 46. The external device 82, such as a smart phone, can display the analysis result or also include a warning through an application (APP).

[0046] Figure 6 This is a flow block diagram of the response light signal analysis steps of the artificial intelligence heart disease warning finger cuff device used in the present invention. Please also refer to Figures 1 to 6, the green light source 25 of the artificial intelligence heart disease warning finger sleeve device (2 or 8) emits a green light band, such as a detection light 51 with a wavelength of 495-570nm and a frequency of 526-606THz, which is incident on the user's finger 5, and the detection light 51 hits the blood vessels on the side of the finger and forms a response light 53, which is received by the light receiver 24 as a response light signal. It is understandable that the detection light 51 may include red light emitted by the red light source 27 incident on the user's finger 5, and the response light 53 signal includes a signal responding to red light, wherein the red light can be used to measure the blood oxygen value. It is understandable that the detection light 51 may include other different wavelengths of light that can respond to physiology. Further explanation, in one embodiment, the control block 43 or the control / processing block 83 may include a built-in detection control instruction to control the detection block 42 to perform detection at a preset time frequency, such as every 30 seconds or every 3 minutes, etc. In another embodiment, the control block 43 or the control / processing block 83 may further adjust the control of the detection block 42 based on the sensing result of the sensing block 44, for example, based on the sensing result of the finger or user being stationary, the detection block 42 may be controlled to perform real-time detection. The control block 43 or the control / processing block 83 may further adjust the control of the detection block 42 based on the communication result of the communication transmission block 46, for example, when the communication transmission block 46 senses the Bluetooth pairing or proximity of the relay device 32 or the external device 82, the control block 43 or the control / processing block 83 controls the detection block 42 to perform real-time detection based on the result of the pairing or proximity sensing. In another embodiment, the control block 43 or the control / processing block 83 may also receive a control designation from a paired or proximate relay device 32 or an external device 82 to change the detection time frequency of the detection block 42. For example, the external device 82 is a smart phone with a control application (APP) installed. The user may use the external device 82 to change the detection time frequency or real-time detection of the detection block 42 from the preset detection every 3 minutes to detection every 2 minutes, or real-time detection.

[0047] Continued reference Figures 1 to 6, the response light signal is first subjected to threshold filtering and signal adjustment processing to obtain an analog waveform signal diagram (step 61). For example, the response light signal is first subjected to high-pass and low-pass filtering processing (threshold filtering), and then subjected to weight analysis to improve the signal-to-noise ratio and reduce abnormal spikes to obtain a time-dependent analog waveform diagram (time domain diagram). Then, on the one hand, the time-dependent analog waveform diagram (time domain diagram) is analyzed by artificial intelligence to obtain time domain indicators related to heart disease monitoring (step 65). In the present invention, the time domain indicators are related to heart disease and may include one or more heart time domain values. On the other hand, the analog waveform signal is transformed, such as fast Fourier or / and wavelet transform, to obtain a spectrum diagram of a first spectrum signal (step 62), and then the first spectrum signal is optimized to obtain a second spectrum signal (step 63). The optimization processing of the first spectrum signal, for example but not limited to, for example, normalizes the energy intensity according to the number of points in the spectrum diagram and corrects the abnormal intensity of the extremely low frequency to obtain a second spectrum signal diagram (corrected spectrum diagram). Afterwards, the second spectrum signal (corrected spectrum diagram) is analyzed by artificial intelligence to obtain frequency domain indicators related to monitoring heart disease (step 64), wherein the frequency domain indicators are also related to heart disease and may include one or more heart frequency domain values. Finally, the time domain indicators and frequency domain indicators are summarized as an analysis result (step 66). In step 66, the analysis result may include one or more heart time domain values ​​and one or more heart frequency domain values, which may mainly reflect the occurrence of acute arrhythmia, especially the occurrence of atrial fibrillation (AF). Once the analysis result is determined by the control block or the control / processing block to be an acute arrhythmia, the warning block may be instructed to issue a warning to alert the user or others. For example, the analysis result includes a first cardiac time domain value, a second cardiac time domain value, a first cardiac frequency domain value, and a second cardiac frequency domain value. If the control block or the control / processing block determines that the first cardiac time domain value is greater than a first predetermined value, and the sum of all cardiac time domain values ​​and all cardiac frequency domain values ​​is greater than a second predetermined value, it indicates that atrial fibrillation (AF) has occurred, reflecting that the user's probability of sudden death is high. According to a judgment result of the control block or the control / processing block, the warning block can be controlled to issue a warning. The warning block can be alerted by vibrating the artificial intelligence heart disease early warning finger cuff device, emitting an audio signal (beep) or a video signal (text or light display) to attract attention. For example, when the control block determines that the indicators exceed a certain predetermined value, indicating that the user's probability of sudden death is high, the control block issues a command to control the warning block to sound a beep to remind the user or other people nearby.

[0048] Continued reference Figures 1 to 6When the user's finger 5 wears the artificial intelligence heart disease early warning finger sleeve device for a long time, the artificial intelligence heart disease early warning finger sleeve device can continuously and regularly detect and store the response light signal. The stored response light signal can be transmitted to the relay device or the external device by wireless transmission according to the preset time frequency, or uploaded to the server by the relay device or the external device, or directly processed and analyzed by the external device and then transmitted back. The stored response light signal can also be controlled to be transmitted to the relay device or the external device in real time for real-time processing and analysis. It can be understood that when the relay device is a smart phone (external device), the artificial intelligence heart disease early warning finger sleeve device senses the approach of the smart phone through near-field sensing or other non-contact methods, and directly transmits the response light signal in the storage block through Bluetooth or other wireless communication methods. Optionally, the response light signal can also be further uploaded to the cloud server for processing after being transmitted to the smart phone, or the analysis result can be uploaded to the cloud server after being directly processed and analyzed by the smart phone. The sensing block 44 of the artificial intelligence heart disease warning finger sleeve device can also sense the user's body posture changes, such as the user sitting down after running, and the control block 43 determines the motion change sensing result to decide whether to transmit the response light signal or process and analyze it. When the relay device is an independent receiver, the application (APP) corresponding to the receiver can also be installed on other smart phones, so that other people can receive the analysis results of the response light signal, and then assist the user in subsequent medical treatment or arrangement.

[0049] Continued reference Figures 1 to 6 According to the above, the processing and analysis process of the response light signal of the present invention ( Figure 6 ) can be completed by the artificial intelligence heart disease warning finger cuff device, the relay device or the external device, and the server. For example, the control block 43 of the artificial intelligence heart disease warning finger cuff device 2 performs threshold / adjustment signal processing, and the external device, the relay device or / and the server perform other steps; or steps 61 to 66 are all performed by the artificial intelligence heart disease warning finger cuff device 8.

[0050] According to the above, the artificial intelligence heart disease early warning finger sleeve device of the present invention can be worn on the user for a long time to obtain data to analyze the heart condition and obtain the user's current condition, but the wearing and monitoring methods are simple. Compared with the traditional method that requires professionals to assist in sticking the detection patch on the specific position of the user and causes discomfort, the long-term sampling method required by the present invention is simple, reducing the user's sense of rejection, and can be used anytime and anywhere, and the received response light signal is analyzed and the result is obtained in real time, so as to buy time to take subsequent steps or processing as soon as possible, so as to achieve the purpose of early warning of sudden death. Secondly, the artificial intelligence heart disease early warning finger sleeve device of the present invention uses green light as the detection light, and the variation amplitude of the light response signal obtained is larger than that of red light, which is conducive to the subsequent signal processing and the acquisition and accuracy of the analysis results. Furthermore, the analysis results of the artificial intelligence heart disease early warning finger sleeve device of the present invention reflect the situation that the user may have heart disease, so even before the symptoms related to heart disease occur, the artificial intelligence heart disease early warning finger sleeve device of the present invention can be used to monitor and warn the occurrence of heart disease.

[0051] The embodiments described above are only for illustrating the technical ideas and features of the present invention, and their purpose is to enable those skilled in the art to understand the contents of the present invention and implement them accordingly. They cannot be used to limit the patent scope of the present invention. That is, all equivalent changes or modifications made according to the spirit disclosed by the present invention should still be included in the patent scope of the present invention.

Claims

1. An artificial intelligence heart disease warning finger sleeve device, characterized in that: include: A detection block, comprising a light source emitting a green light and a light receiver, the light receiver receiving a response light signal reflected by a user's finger from the green light; a communication transmission block, which transmits the response optical signal to an external device and receives an analysis result from the external device, wherein the analysis result is obtained by analyzing the response optical signal by the external device, and the analysis result includes a time domain index and a frequency domain index that can monitor heart disease; A control block is electrically connected to the detection block and the communication transmission block, and receives the analysis result and determines whether to issue an alarm after judging the time domain index and the frequency domain index; and A power block provides power to the detection block, the communication transmission block and the control block.

2. The artificial intelligence heart disease warning finger sleeve device as claimed in claim 1, characterized in that: It also includes a sensing block electrically connected to the control block, which senses the user's finger state to transmit a sensing result to the control block. The control block controls the detection block to perform real-time detection based on the sensing result or also includes controlling the communication transmission block to transmit the response light signal to the external device.

3. The artificial intelligence heart disease warning finger sleeve device as claimed in claim 1, characterized in that: The device also includes a storage block electrically connected to the control block and storing the response optical signal.

4. The artificial intelligence heart disease warning finger sleeve device according to claim 1, characterized in that: The device also includes a warning block electrically connected to the control block, wherein the warning block sends out an audio signal or a video signal as the warning according to the control of the control block.

5. The artificial intelligence heart disease warning finger sleeve device according to any one of claims 1 to 4, characterized in that: The light source of the detection block further emits a red light or a plurality of wavelengths of light, and the response light signal includes a response of the user's finger reflecting the red light or the plurality of wavelengths of light.

6. The artificial intelligence heart disease warning finger sleeve device according to any one of claims 1 to 4, characterized in that: The control block is electrically connected to the detection block and controls the detection block to emit light and receive light according to a time frequency or in real time.

7. The artificial intelligence heart disease warning finger sleeve device according to any one of claims 1 to 4, characterized in that: The communication transmission block includes a Bluetooth communication module, a near field communication module, a wireless communication module or a combination of at least two of the above.

8. An artificial intelligence heart disease warning finger sleeve device, characterized in that: include: A detection block, comprising a light source emitting a green light and a light receiver, the light receiver receiving a response light signal reflected by a user's finger from the green light; A control and processing block is electrically connected to the detection block, and receives and analyzes the response light signal to obtain an analysis result, wherein the analysis result includes a time domain index and a frequency domain index that can monitor heart disease. The control and processing block determines the time domain index and the frequency domain index to determine whether to issue an alarm; a communication transmission block, which transmits at least one of the analysis result and a determination result of the control and processing block to an external device; as well as A power block provides power to the detection block, the control and processing block and the communication transmission block.

9. The artificial intelligence heart disease warning finger sleeve device as claimed in claim 8, characterized in that: It also includes a sensing block electrically connected to the control and processing block, which senses the user's finger state to transmit a sensing result to the control and processing block. The control and processing block controls the detection block to perform real-time detection based on the sensing result, or further includes controlling the communication transmission block to transmit the response light signal and / or the analysis result to the external device.

10. The artificial intelligence heart disease warning finger sleeve device as claimed in claim 8, characterized in that: A storage block is also included which is electrically connected to the control and processing block and stores the response light signal and / or the analysis result.

11. The artificial intelligence heart disease warning finger sleeve device as claimed in claim 8, characterized in that: The device also includes a warning block electrically connected to the control and processing block, wherein the warning block sends out an audio signal or a video signal as the warning according to the control of the control and processing block.

12. The artificial intelligence heart disease warning finger sleeve device according to any one of claims 8 to 11, characterized in that: The light source of the detection block further includes emitting a red light or a plurality of wavelengths of light, and the response light signal includes a response of the user's finger reflecting the red light source or the plurality of wavelengths of light.

13. The artificial intelligence heart disease warning finger cuff device according to any one of claims 8 to 11, characterized in that: The control block is electrically connected to the detection block and controls the detection block to emit light and receive light according to a time frequency or in real time.

14. The artificial intelligence heart disease warning finger sleeve device according to any one of claims 8 to 11, characterized in that: The control and processing block processes an analog waveform signal of the response optical signal to obtain the time domain index, and converts and processes the analog waveform signal to obtain the frequency domain index.

15. The artificial intelligence heart disease warning finger sleeve device according to any one of claims 8 to 11, characterized in that: The communication transmission block includes a Bluetooth communication module, a near field communication module, a wireless communication module or a combination of at least two of the above.

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