CN110598424B

CN110598424B - Data encryption-decryption system and method based on dynamic monitoring and analysis of cardiac function

Info

Publication number: CN110598424B
Application number: CN201910726569.9A
Authority: CN
Inventors: 王江源; 王满
Original assignee: Individual
Current assignee: Individual
Priority date: 2019-08-07
Filing date: 2019-08-07
Publication date: 2021-11-19
Anticipated expiration: 2039-08-07
Also published as: CN110598424A

Abstract

The invention discloses a data encryption-decryption system and method based on dynamic monitoring and analysis of cardiac function, which comprises a characteristic ID device, a logic circuit encryption device and an identification decryption device, wherein the decryption device is used for searching out a key corresponding to an ID through a database for decryption after receiving a ciphertext and an intelligent cardiac patch ID. The portable intelligent wearable device is used for monitoring the mechanical vibration of the heart in vitro, obtaining the vibration information of the heart in a real-time non-invasive manner, and finding out the abnormality of the physical structure and the beating rhythm of the heart at an early stage by combining digital processing, machine learning and artificial intelligence technology mode identification and intelligent diagnosis, such as valvular lesion, abnormal movement of the heart wall, change of the heart ejection fraction, arrhythmia and the like. The early warning and timely medical care of the heart diseases are realized by combining with an early warning report system. The early warning and monitoring of severe arrhythmia, angina and acute myocardial infarction, and the daily monitoring significance of the family-based elderly people and sports people in contrast to the rehabilitation monitoring after operation.

Description

Data encryption-decryption system and method based on dynamic monitoring and analysis of cardiac function

Technical Field

The invention belongs to the technical field of intelligent medical instruments, and particularly relates to a data encryption-decryption system and method based on dynamic monitoring and analysis of cardiac function.

Background

Heart disease is the first killer of humans, and today there are billions of heart disease patients worldwide that need to be medically cared for in a timely, adequate and cost-effective manner. The traditional Electrocardiogram (ECG) can only find the abnormal electrocardiosignals, but has little or no effect on the defects, pathological changes, aging and functional loss (such as myocardial partial necrosis) of the cardiac structure. The detection means such as echocardiography, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), myocardial perfusion nuclide scanning and the like need large-scale equipment and professional operation, have high detection cost, are difficult to monitor at any time and any place, and lose precious pathological information and rescue opportunities.

In recent years, with the development of micro-electro-mechanical systems (MEMS) technology and the increase of the demand for health of people, portable wearable devices for heart health monitoring have become an area of intense research. Most studies and products, however, have reported analyzing tens of thousands of single lead ECGs from wearable devices based on traditional ECGs, Pranav Rajpurkar, using a 34-layer Convolutional Neural Network (CNN), with arrhythmia diagnosis capabilities reaching the level of human medical experts. However, because the ECG technique is limited, the health status of the heart cannot be reflected timely and completely, so researchers have noticed that the external heart vibration signal can reflect the structural and functional changes of the heart, so as to make up for the deficiency of the ECG, and try to provide a new approach for noninvasive monitoring of heart diseases.

As early as 1991, Salerno et al, first observed clinically that the heart vibration spectrum of patients with myocardial ischemia is different from that of normal persons, and suggested that SCG (sesamocardio gram, a map drawn by the acceleration of the heart motion to the chest wall) might be helpful for left ventricular function monitoring in patients with coronary heart disease. The scientific and technical personnel further research and find that the SCG can estimate the hemodynamic parameters of the heart, such as the pre-ejection period, the left ventricular ejection period, the ejection fraction and the like, so as to evaluate the heart function.

Most studies are limited to a laboratory environment, and MagIC-SCG in 2010 is the first wearable device that can continuously acquire cardiac electromechanical signals during daily activities. The system comprises two ECG electrodes, a pressure sensor, a three-axis acceleration sensor and a data storage and transmission module, all of which are enclosed in a custom made jacket. The data is transmitted to a computer device through Bluetooth for calculation, analysis and visualization. Indicators that may be analyzed include heart rate, number of breaths, and some hemodynamic parameters. The Chinese Taiwan scholars invented a set of early warning system for heart diseases based on the multi-channel SCG and ECG combined analysis in 2017. The sensor comprises three ECG electrodes and 4 acceleration sensors which are distributed at different positions of four limbs, the chest wall and the like of a human body. The sensor data are transmitted to the smart phone first and then transmitted to the cloud server for calculation and analysis. By the combined analysis of the ECG and 4-channel SCG data, an early warning accuracy of 88% is finally achieved. So far, most scholars have adopted a technical means of fusing SCG and GCG (gyrocardiographic, GCG, atlas drawn by rotational angular velocity of the heart motion on the chest wall) data, and obtaining a good effect. Some people also directly adopt a built-in sensor of a smart phone, such as a three-axis acceleration sensor and a gyroscope which are built in the smart phone, for example, Jafari Tadi and the like, to detect atrial fibrillation, the accuracy is also very high, but data calculation and analysis still need to be performed offline. In 2018, Ng Seng Hooi et al used an acceleration sensor to monitor and analyze the vibration caused by the opening and closing of the heart valve, and verified the early warning value of SCG on early physical lesions of the heart, but the whole experiment stays in the theoretical concept verification stage, and a set of commercially feasible implementation scheme is not provided.

In summary, the prior art and products exist: one of the methods is that data analysis processing and disease diagnosis depend on a cloud platform or an off-line computer device, so that the real-time performance is poor, the real-time response is influenced, the practicability of real-time treatment is high, and the data availability is low. Secondly, the wearable equipment matched with the wearable equipment has complex structure, high cost and inconvenient use. Thirdly, the software algorithm model is simple, which results in weak disease diagnosis ability. Fourthly, the data security problem is not considered; and fifth, commercialized service modes such as heart early warning, operation rehabilitation, home-based care and the like are not considered. The inventor of the invention has intensively researched heart dynamic signals for many years, particularly based on the research on vibration signal acquisition and analysis and heart disease diagnosis, so that the data acquisition and analysis technology based on SCG + GCG is miniaturized and intelligentized, and is directly applied to the dynamic early warning of remote heart functions, the commercial network system research and application of the real-time tracking service of the heart functions of operation rehabilitation and home-based care, and makes some practical contributions to the human health industry.

Disclosure of Invention

The first purpose of the invention is to provide a data encryption-decryption system based on the dynamic monitoring and analysis of the cardiac function; another object is to provide a data encryption-decryption method based on dynamic monitoring and analysis of cardiac function.

The first object of the present invention is achieved by a data encryption-decryption system based on dynamic monitoring and analysis of cardiac function, which is solidified in a cardiac smart patch, and specifically includes,

the characteristic ID device is used for generating an ID and 256-bit key pair aiming at the heart intelligent patch, identifying the heart intelligent patch, solidifying the heart intelligent patch in the heart patch as a unique identification key thereof, and storing the unique identification key in a database;

the logic circuit device is used for executing SHA (secure Hash Algorithm) Hash algorithm on the original data to obtain a Hash value, adding the Hash value to the tail end of the original data to form a plaintext, then carrying out AES (advanced encryption Algorithm) encryption on the plaintext by using a secret key to obtain a ciphertext, and transmitting the ciphertext together with the equipment ID;

and the identification decryption device is used for searching out a key corresponding to the ID through the database after receiving the ciphertext and the intelligent heart patch ID, and decrypting.

Another object of the present invention is achieved by a data encryption-decryption method based on dynamic monitoring and analysis of cardiac function, comprising the following steps,

(1) an ID and 256-bit key pair is produced through the characteristic ID device identification, a heart intelligent patch is identified, the heart intelligent patch is solidified in the heart patch and is stored in a database as a unique identification key of the heart intelligent patch;

(2) performing SHA hash algorithm on the original data through the logic circuit device to obtain a hash value, attaching the hash value to the tail end of the original data to form a plaintext, then performing AES encryption on the plaintext by using a key to obtain a ciphertext, and transmitting the ciphertext and the equipment ID together;

(3) the identification decryption device is used for receiving the ciphertext and the intelligent cardiac patch ID, searching out the key corresponding to the ID through the database and decrypting. And separating the plaintext and the hash value from the decrypted data, performing the same hash algorithm on the plaintext again, comparing the hash value obtained by calculation with the hash value obtained by decryption, and receiving the data if the hash value is completely consistent with the hash value obtained by decryption.

The data encryption-decryption technology is applied to a portable heart intelligent patch system, is worn on the chest wall of a human body in a wearable device mode, monitors the mechanical vibration of the heart in vitro, continuously and non-invasively acquires the vibration information of the heart in real time, and discovers the abnormality of the physical structure and the beat rhythm of the heart at early stage by combining digital processing, machine learning and artificial intelligence technology mode identification and intelligent diagnosis, such as valvular lesion, abnormal motion of the heart wall, change of the fraction of the ejected blood of the heart, arrhythmia and the like. The early warning and timely medical care of the heart diseases are realized by combining with an early warning report system. The method has great significance for early warning and monitoring of severe arrhythmia (such as atrial fibrillation, ventricular tachycardia and ventricular fibrillation), angina and acute myocardial infarction, rehabilitation and monitoring after operation, home-based elderly people and daily monitoring of sports people.

Drawings

FIG. 1 is a block diagram of an encryption-decryption system architecture of the present invention;

FIG. 2 is a block diagram of the architecture of the heart intelligent patch system of the present invention;

FIG. 3 is a block diagram of the structural relationship of the heart smart patch of the present invention (the smart chip is shown in the box);

fig. 4 is a schematic diagram of an implementation manner of the smart chip of the present invention.

Detailed Description

The invention will be further illustrated by the following figures and examples, without in any way restricting it, and any alterations or modifications based on the teachings of the invention shall fall within the scope of the invention.

As shown in fig. 1 and 2, the invention relates to a data encryption-decryption system based on dynamic monitoring and analysis of cardiac function, which is solidified in a cardiac intelligent patch and specifically comprises,

the logic circuit device is used for executing an SHA-3 hash algorithm on the original data to obtain a hash value, attaching the hash value to the tail end of the original data to form a plaintext, then carrying out AES encryption on the plaintext by using a secret key to obtain a ciphertext, and transmitting the ciphertext and the equipment ID together;

the identification decryption device is used for searching out a key corresponding to the ID through the database after receiving the ciphertext and the intelligent cardiac patch ID and decrypting the key;

the identification receiving device is used for carrying out Hash algorithm again on the decrypted data, verifying the Hash value, and receiving the data if the Hash value is matched with the data; if the data are not matched, the data are indicated to be possibly tampered, the data are refused to be received, and the data are discarded.

The device also comprises a cipher text temporary storage device which is used for temporarily storing the encrypted cipher text (namely the early warning information) and is positioned in a flash memory of the chip memory.

The early warning starting device is used for starting an early warning mechanism according to the ciphertext carrying early warning event information and prompting a corresponding early warning level; meanwhile, a liquid crystal display screen of the mobile intelligent terminal displays characters and icons to prompt early warning information and levels.

The early warning starting device displays early warning states according to different early warning levels: when the early warning is slight, the yellow lamp flickers; when the early warning is carried out at a medium level, the red light flickers; during emergency early warning, red light flicker and buzzer response occur simultaneously.

The invention relates to a data encryption-decryption method based on dynamic monitoring and analysis of cardiac function, which comprises the following steps,

(2) executing SHA-3 Hash algorithm on the original data through the logic circuit device to obtain a Hash value, attaching the Hash value to the tail end of the original data to form a plaintext, then carrying out AES encryption on the plaintext by using a secret key to obtain a ciphertext, and transmitting the ciphertext and the equipment ID together;

(3) the identification decryption device is used for receiving the ciphertext and the intelligent cardiac patch ID, searching out a key corresponding to the ID through the database and decrypting the key;

executing the Hash algorithm on the decrypted data again through the identification receiving device, checking the Hash value, and receiving the data if the Hash value is matched with the Hash value; if the data are not matched, the data are indicated to be possibly tampered, the data are refused to be received, and the data are discarded.

The encrypted ciphertext (i.e. the warning message) is temporarily stored in the flash memory of the chip memory through the ciphertext temporary storage device.

An early warning mechanism is started through an early warning starting device according to the ciphertext carrying early warning event information, and a corresponding early warning level is prompted; and the liquid crystal display screen of the mobile intelligent terminal displays characters and icons to prompt early warning information and levels.

The early warning starting device starts an early warning mechanism and gives different early warning prompts according to different early warning grades: when the early warning is slight, the yellow lamp flickers; when the early warning is carried out at a medium level, the red light flickers; during emergency early warning, the red light flickers and buzzes are sent out simultaneously.

The working principle and working process of the present invention are described below by way of examples

The data encryption-decryption technology is applied to a portable heart intelligent patch system, is worn in the middle of the chest of a human body in a wearable device mode, monitors the mechanical vibration of the heart in vitro, continuously and non-invasively acquires the vibration information of the heart in real time, and discovers the abnormality of the physical structure and the beat rhythm of the heart, such as valvular lesion, abnormal movement of the heart wall, change of the fraction of the heart ejection blood, arrhythmia and the like, in early stage by combining digital processing, machine learning and artificial intelligence technology mode identification and intelligent diagnosis. The early warning and timely medical care of the heart diseases are realized by combining with an early warning report system.

Fig. 2 and fig. 3 show the system architecture relationship and the device structure relationship of the intelligent cardiac function monitoring and early warning device applying the invention. The system continuously acquires vibration wave data from the vibration sensor, performs data compression and data preprocessing in real time, and the embedded artificial intelligence algorithm module performs data inference in real time to give a diagnosis result. If the diagnosis result is abnormal (such as myocardial infarction, arrhythmia and the like), after identification, the result is encrypted by the encryption-decryption system and then is temporarily stored in the internal memory, and the encrypted diagnosis result is transmitted to other modules such as an intelligent terminal or a background service cloud platform for decryption and subsequent processing through the data communication module. The data transmission mode is called as data transmission based on 'event driving', namely, the data transmission is started only under the condition that the intelligent processing chip logic circuit detects that the abnormal event of the heart occurs, and the transmitted data comprises a diagnosis conclusion and sensor raw data within a certain time period before and after the event occurrence time so as to be analyzed subsequently.

The microprocessor is realized by a system on chip (SoC), the SoC chip comprises a processor, a memory and a peripheral circuit, and a single chip can realize multiple functions of data acquisition, conversion, storage, processing, input/output and the like.

The microprocessor is an MCU (microcontroller Unit), an Application Specific Integrated Circuit (ASIC) or a Field Programmable Gate Array (FPGA); the object of the present invention can be achieved.

The power management device comprises a button-type battery and supplies power to the system through a related socket; the early warning device starts an external buzzer, an LED lamp or a liquid crystal display screen to give an alarm through a related socket.

The wireless data communication device intelligently adopts a wireless mode to carry out data transmission, relevant information of the found early warning event is encrypted by 256-bit AES and then transmitted to the Bluetooth module or the WiFi, 4G, 5G, NFC and NB-IoT modules, and a wireless signal is transmitted through the hidden antenna.

As one embodiment, an nRF52832 Bluetooth SoC chip is adopted, and the SoC chip comprises a 64MHZ ARM Cortex-M4F CPU, a 512KB flash memory, a 64KB RAM, a low-power Bluetooth module, a 2.4GHz wireless transmission module, an AHB/APB bus structure and related peripheral circuits, interfaces and a power management module; the sensor information of the intelligent patch is input to a 16-bit 200KSPS ADC end through a J7 socket of the intelligent processing chip, and the A/D module performs digital-to-analog conversion; the microprocessor module of the intelligent processing chip preprocesses data in real time, calculates and deduces the real-time data, and stores and distributes the deduction result to a related subsystem, a platform or an intelligent mobile terminal. The intelligent processing chip encrypts an early warning result by 256-bit AES and transmits the early warning result to the Bluetooth module; the bluetooth signal is sent through a J9 jack and a hidden antenna. The power supply management module comprises a button battery, and the capacity is not lower than 950 mAh; the system is powered through the SoC chip J8 socket.

The serial number of the heart early warning event is added with a time tag and the current geographical position coordinate, hash algorithm and AES encryption processing are carried out, the encrypted ciphertext (namely early warning information) is temporarily stored in a flash memory queue on a chip, and if the queue is full, the oldest data are covered. And then immediately starting an early warning mechanism on the chip, and according to different early warning levels, flashing a yellow light during slight early warning, flashing a red light during medium-level early warning, and simultaneously flashing the red light and buzzing during emergency early warning. Meanwhile, a liquid crystal display screen can be added to display the early warning information through characters and icons.

Meanwhile, the heart intelligent patch tries to transmit the early warning data to other equipment through a wireless network, such as a cloud background server through protocols of Wifi, NB-IoT, 4G, 5G and the like. If the robot is indoors, the robot can also transmit the data to a smart phone or a smart service robot through protocols such as Bluetooth, NFC and the like.

After the cloud server receives the early warning information, decryption and storage are firstly carried out, and then different early warning signals are sent out according to different early warning levels: a low risk short message may be sent to inform the patient himself or the guardian, and a high risk such as complete atrioventricular block, ventricular fibrillation, etc. may initiate an automatic voice call to inform the guardian or doctor.

After receiving the early warning information, the user side mobile phone APP can visually display the current heart diagnosis and suggestion, different early warning levels can display different colors, and a vibrator and a loudspeaker of the mobile phone can be called for serious early warning. The APP provides a button for one-key contact of the guardian and the doctor, and a mobile phone short message or telephone mode can be selected for the user to use in an emergency. APP also provides functions of viewing and adding history reports and modifying disease records. The disease condition file includes basic personal information such as age, sex, height and weight, information of diseases, daily medication information, and information of hospital examination and assay. The information can be authorized by the user to be remotely shared with the doctor so as to help the doctor judge the disease condition more accurately. In addition, the user can add or modify the name of the guardian, the number of the mobile phone and the doctor information for receiving the early warning on the APP. Data synchronization can be carried out between the mobile phone APP and the remote server in real time.

The medical end mobile phone APP provides a user list managed by a doctor, the early warning, the files and the like of the user can be checked by clicking the user list, and the user or a guardian of the user can be contacted in a short message or telephone mode to achieve remote guidance.

For certain diseases, such as atrial fibrillation, which may be persistent for a long period or a period of time, the system may set different warning frequencies, such as 1 day up to 1 time, in order to avoid disturbing frequent warnings. For severe conditions such as acute myocardial infarction, the early warning frequency is not limited.

After one-time inference, data encryption and transmission are completed, the intelligent patch can work circularly and enter the next operation period.

Besides the event early warning, the heart intelligent patch sends an encrypted message to a background server or a mobile phone APP at regular time (for example, every hour) during the working period, and the encrypted message carries the working state at that time and the heart rate information of the user. The heart rate, which is the most basic cardiac parameter, can be obtained through various methods, such as autocorrelation analysis on the cardiac vibration signal, peak search algorithm, and the like.

Claims

1. A data encryption-decryption system based on SCG + GCG heart function dynamic monitoring and analysis is characterized in that a logic circuit encryption device in the data encryption-decryption system is solidified in a heart intelligent patch, an identification decryption device is positioned in a background server or intelligent terminal equipment, and the data encryption-decryption system specifically comprises:

the characteristic ID device is used for generating an equipment ID and a 256-bit key pair aiming at the heart intelligent patch, identifying the heart intelligent patch as a unique identification key thereof, solidifying the heart intelligent patch into the heart intelligent patch and simultaneously storing the heart intelligent patch into a background database;

the logic circuit encryption device is used for continuously acquiring SCG + GCG data from the sensor, performing data compression and data preprocessing in real time, performing data inference in real time by an embedded artificial intelligence algorithm module in the heart intelligent patch to give a heart diagnosis result, if the diagnosis result is abnormal, executing an SHA hash algorithm on original data to obtain a hash value, adding the hash value to the tail end of the original data to form a plaintext, then performing AES (advanced encryption standard) encryption on the plaintext by using a secret key to obtain a ciphertext, and transmitting the ciphertext and the equipment ID (identity);

the identification decryption device is used for searching out a key corresponding to the equipment ID through the database after receiving the ciphertext and the equipment ID, decrypting the ciphertext, separating the plaintext and the hash value from decrypted data, executing the same hash algorithm on the plaintext again, comparing the hash value obtained by calculation with the hash value obtained by decryption, if the hash value is completely consistent with the hash value obtained by decryption, receiving the data, and if the hash value is not consistent with the hash value, refusing to receive the data and discarding the data, wherein the data is possible to be tampered.

2. The data encryption-decryption system based on SCG + GCG cardiac function dynamic monitoring and analysis as claimed in claim 1, further comprising a ciphertext temporary storage device for temporarily storing ciphertext carrying the pre-warning event information after encryption, and being located in a flash memory of an internal memory of the cardiac smart patch.

3. The data encryption-decryption system based on SCG + GCG cardiac function dynamic monitoring and analysis as claimed in claim 1, further comprising an early warning initiating means for initiating an early warning mechanism according to the early warning event information obtained by decrypting the ciphertext and prompting a corresponding early warning level; meanwhile, a liquid crystal display screen of the intelligent terminal device displays characters and icons to prompt early warning information and levels.

4. The data encryption-decryption system based on SCG + GCG cardiac function dynamic monitoring and analysis as claimed in claim 3, wherein the early warning initiating means displays early warning status according to different early warning levels: when the early warning is slight, the yellow lamp flickers; when the early warning is carried out at a medium level, the red light flickers; during emergency early warning, red light flicker and buzzer response occur simultaneously.

5. The application method of the data encryption-decryption system based on SCG + GCG cardiac function dynamic monitoring and analysis according to claim 1, characterized by comprising the following steps:

(1) generating an equipment ID and a 256-bit key pair through the identification of the characteristic ID device, identifying a heart intelligent patch as a unique identification key thereof, and storing the heart intelligent patch in a database;

(2) the method comprises the steps that SCG + GCG data are continuously collected from a sensor through a heart intelligent patch, data compression and data preprocessing are carried out in real time, data inference is carried out in real time by using an embedded artificial intelligence algorithm module in the heart intelligent patch, a heart diagnosis result is given, if the diagnosis result is abnormal, a logic circuit encryption device executes an SHA hash algorithm on original data to obtain a hash value, the hash value is attached to the tail end of the original data to form a plaintext, then an encryption key is used for carrying out AES encryption on the plaintext to obtain a ciphertext, and the ciphertext and an equipment ID are transmitted together;

(3) the identification and decryption device is used for finding out a key corresponding to the equipment ID through the database after receiving the ciphertext and the equipment ID, decrypting the ciphertext by using the key, separating a plaintext and a hash value from decrypted data, executing the same hash algorithm on the plaintext again by the identification and decryption device, comparing the hash value obtained by calculation with the hash value obtained by decryption, if the hash value is completely consistent with the hash value obtained by decryption, receiving the data, and if the hash value is not consistent with the hash value, indicating that the data is possibly tampered, refusing to receive and discarding the data.

6. The application method of claim 5, wherein the encrypted ciphertext carrying the warning event information is temporarily stored in a flash memory of an internal memory of the cardiac smart patch through a ciphertext temporary storage device.

7. The application method of claim 5, further comprising starting an early warning mechanism according to the early warning event information obtained by decrypting the ciphertext through an early warning starting device, and prompting a corresponding early warning level; and the liquid crystal display screen of the intelligent terminal device displays characters and icons to prompt early warning information and levels.

8. The application method of claim 7, wherein the early warning starting device starts an early warning mechanism and makes different early warning prompts according to different early warning levels: when the early warning is slight, the yellow lamp flickers; when the early warning is carried out at a medium level, the red light flickers; during emergency early warning, the red light flickers and buzzes are sent out simultaneously.