Intelligent cardiology department monitoring system
By introducing a local service station and central server architecture into the cardiology monitoring system, combined with processing units and encryption algorithms, the problem of patient privacy data leakage was solved, and secure data storage and reasonable access were achieved, ensuring patient privacy and data security.
Patent Information
- Application Number
- CN202511346118.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-19
- Publication Date
- 2025-12-30
AI Technical Summary
Existing cardiac monitoring systems pose a risk of patient privacy data leakage, especially when stored in the cloud, where they are vulnerable to hacking attacks.
By adopting a local service station and central server architecture, combined with monitoring modules, processing units and encryption algorithms, local storage and encrypted transmission of data are achieved, ensuring the security and privacy of patient data.
By employing desensitization and encryption technologies, patient data is securely stored and accessed appropriately, protecting patient privacy while meeting the data query needs of different users.
Smart Images
Figure CN121237459A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application relates to the technical field of cardiology, in particular to an intelligent cardiology monitoring system. BACKGROUND
[0002] The cardiology department is mainly responsible for diagnosing and treating diseases of the heart and blood vessels connected to the heart, including but not limited to coronary heart disease, hypertension, arrhythmia, heart failure, myocardial infarction, myocarditis and the like. With the rapid development of sensor technology and artificial intelligence technology, cardiology monitoring is developing towards real-time and precision, and the intelligent level is continuously improving. The improvement of intelligence depends on a large amount of monitoring data, and the collection, transmission and use of data all have the risk of leakage, for example, the data stored in the cloud may be attacked by hackers, resulting in leakage of patients' health data. Therefore, in the process of continuously promoting the intelligent development of cardiology monitoring, the protection of patients' privacy data is a problem that must be considered. SUMMARY
[0003] In order to solve the technical problem that the privacy data of patients exists the risk of leakage in the prior art, the intelligent cardiology monitoring system provided by the application comprises a monitoring module, a local service station and a total server, the local service station is in communication connection with the monitoring module and the total server respectively;
[0004] Each bed corresponds to a monitoring module, and each ward is provided with a local service station, and the total server is responsible for the management of the entire cardiology department.
[0005] Preferably, the monitoring module comprises a processing unit, an electrocardiograph, a millimeter wave radar and an infrared camera, the electrocardiograph is arranged on one side of the bed, and is used for detecting the heart rate, blood pressure and blood oxygen saturation of the patient in real time, the millimeter wave radar is arranged at the head of the bed and corresponds to the chest of the patient, and is used for detecting the respiratory frequency of the patient in real time, the infrared camera is arranged on the wall surface corresponding to the tail of the bed, and takes a picture every 10 seconds to shoot the posture of the patient, and the processing unit is in communication connection with the electrocardiograph, the millimeter wave radar and the infrared camera through star flash technology.
[0006] Preferably, the processing unit comprises a shell, a first processing chip, a first storage and a first communication chip are arranged in the shell.
[0007] Preferably, the first storage comprises a first storage area, a second storage area, a third storage area and a fourth storage area.
[0008] Preferably, the local service station comprises a display screen and a case, the display screen is provided with a front camera, and a second processing chip, a second storage and a second communication chip are arranged in the case.
[0009] Preferably, the working process of the intelligent cardiology monitoring system is that the processing unit receives the original detection data from the electrocardiogram monitor, the millimeter wave radar and the infrared camera, processes the original detection data of the electrocardiogram monitor to obtain the heart rate, blood pressure and blood oxygen saturation of the patient, processes the original detection data of the millimeter wave radar to obtain the respiratory rate of the patient, stores the heart rate, blood pressure, blood oxygen saturation, respiratory rate and infrared image of the patient into a first storage area, at the end of a detection period (for example, 30 minutes), inputs the heart rate, blood pressure, blood oxygen saturation and respiratory rate of the patient into a heart rhythm judgment model to obtain the type of heart rhythm abnormality and the relative time of occurrence of the heart rhythm abnormality, the relative time is the position of the time point of occurrence of the heart rhythm abnormality in the detection period, converts the relative time into absolute time according to the order of the current detection period, the absolute time is the specific time of the time point of occurrence of the heart rhythm abnormality in a day, stores the type of heart rhythm abnormality and the absolute time of occurrence of the heart rhythm abnormality into a third storage area, and constructs first abnormal detection data and second abnormal detection data according to the relative time of occurrence of the heart rhythm abnormality, stores the first abnormal detection data into a second storage area, transmits the second abnormal detection data to a local service station, empties the data in the first storage area, and enters the next detection period. At the same time, the first abnormal detection data added to the second storage area is encrypted by using an AES encryption algorithm based on a set key, and the encrypted first abnormal detection data and the type of heart rhythm abnormality and the absolute time of occurrence of the heart rhythm abnormality added to the third storage area are transmitted to a total server through the local service station, the total server judges the severity of the heart rhythm abnormality according to the type of heart rhythm abnormality, and for the severe heart rhythm abnormality, the corresponding patient, the type of heart rhythm abnormality and the absolute time of occurrence of the heart rhythm abnormality are immediately sent to the relevant medical staff.
[0010] Preferably, the construction process of the first abnormal detection data is that the relative time of occurrence of the heart rhythm abnormality is taken as a center point, a data extraction time period is constructed with a radius of 2 minutes, the detection period is superimposed with the data extraction time period, the coincident time period is taken as an actual data extraction time period, the heart rate, blood pressure, blood oxygen saturation, respiratory rate and infrared image in the actual data extraction time period are combined to serve as the first abnormal detection data.
[0011] Preferably, the construction process of the second abnormal detection data is that the relative time of occurrence of the heart rhythm abnormality is taken as a center point, a data extraction time period is constructed with a radius of 2 minutes, the detection period is superimposed with the data extraction time period, the coincident time period is taken as an actual data extraction time period, each value in the heart rate, blood pressure, blood oxygen saturation and respiratory rate in the actual data extraction time period is floated upward by 2% of the actual value, the adjusted heart rate, blood pressure, blood oxygen saturation and respiratory rate are combined to serve as the second abnormal detection data.
[0012] Preferably, the key generation process is as follows: the main server transmits the photo of the attending physician in charge of the patient to the fourth storage area through the local service station; the first processing chip uses the SHA256 algorithm to perform calculations on the digital matrix of the photo, and uses the resulting 256-bit hash value as the key, which is then transmitted to the main server through encrypted transmission.
[0013] Preferably, when a patient changes their attending physician, all encrypted first anomaly detection data corresponding to the patient needs to be deleted from the main server. The main server transmits the photo of the new attending physician to the fourth storage area through the local service station. The first processing chip uses the SHA256 algorithm to perform calculations on the digital matrix of the photo, and uses the resulting 256-bit hash value as the key. Based on the key, all first anomaly detection data in the second storage area is encrypted using the AES encryption algorithm. The encrypted first anomaly detection data is then transmitted to the main server through the local service station, and the key is transmitted to the main server through encrypted transmission.
[0014] Compared with the prior art, the present invention has the following beneficial effects:
[0015] Anonymized patient data is stored at a local service station for querying by a wider range of people, while encrypted patient data is stored at the central server and only authorized to be queried by the patient's current attending physician. Through diversified data processing, patient privacy and data security are guaranteed while meeting different usage needs. Attached Figure Description
[0016] Figure 1 This is a schematic diagram of the intelligent cardiology monitoring system of the present invention. Implementation
[0017] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0018] like Figure 1 As shown, the intelligent cardiology monitoring system proposed in this invention includes a monitoring module, local service stations, and a central server. The local service stations are connected to the monitoring modules and the central server for communication. Each bed corresponds to one monitoring module, each ward has one local service station, and the central server is responsible for the management of the entire cardiology department.
[0019] The monitoring module includes a processing unit, an electrocardiogram (ECG) monitor, a millimeter-wave radar, and an infrared camera. The ECG monitor is positioned on one side of the bed to monitor the patient's heart rate, blood pressure, and blood oxygen saturation in real time. The millimeter-wave radar is positioned at the head of the bed, corresponding to the patient's chest, to monitor the patient's respiratory rate in real time. The infrared camera is positioned on the wall at the foot of the bed, capturing images of the patient's posture every 10 seconds. The processing unit communicates with the ECG monitor, millimeter-wave radar, and infrared camera via StarFlash technology to receive relevant monitoring data. Compared to traditional Bluetooth technology, StarFlash technology offers advantages such as low latency, high speed, anti-interference, high reliability, high concurrency, and precise positioning. The processing unit includes a housing, inside which are housed a first processing chip, a first memory, and a first communication chip. The first processing chip uses the Ultra 7 265F, integrating an independent NPU unit. Internally, it contains a pre-trained heart rhythm assessment model based on MobileNet-V3. Inputs include heart rate, blood pressure, blood oxygen saturation, and respiratory rate; outputs the type of arrhythmia and its relative time of occurrence, enabling localized real-time analysis. The first memory includes four storage areas: a first storage area for storing detection data from the ECG monitor, millimeter-wave radar, and infrared camera; a second storage area for storing filtered detection data; a third storage area for storing the type of arrhythmia and its occurrence time; and a fourth storage area for storing information required by the processing unit during operation. The first communication chip can communicate with the ECG monitor, millimeter-wave radar, and infrared camera via star-flash technology, and can communicate with the local service station via a wireless LAN.
[0020] The local service station includes a display screen and a chassis. The display screen is equipped with a front-facing camera for facial recognition. Inside the chassis are a second processing chip, a second memory, and a second communication chip. The second processing chip is an i5-14600KF from the Core 200 series. The second memory stores data from the monitoring module. The second communication chip communicates with the monitoring module and the main server via a wireless LAN.
[0021] The intelligent cardiology monitoring system operates as follows: the processing unit receives raw data from an electrocardiogram (ECG) monitor, millimeter-wave radar, and infrared camera. It processes the ECG data to obtain the patient's heart rate, blood pressure, and blood oxygen saturation. It also processes the millimeter-wave radar data to obtain the patient's respiratory rate. The system stores the patient's heart rate, blood pressure, blood oxygen saturation, respiratory rate, and infrared image in the first storage area. At the end of a detection cycle (e.g., 30 minutes), the system inputs the patient's heart rate, blood pressure, blood oxygen saturation, and respiratory rate into a heart rhythm judgment model to obtain the type of arrhythmia and its relative time of occurrence. The relative time represents the position of the arrhythmia occurrence within the detection cycle. Based on the current detection cycle sequence, the relative time is converted into absolute time, which represents the specific time of day within which the arrhythmia occurred. The types of arrhythmias and their absolute times of occurrence are stored in the third storage area. Furthermore, based on the relative times of occurrence of the arrhythmias, first and second arrhythmia detection data are constructed. The first arrhythmia detection data is stored in the second storage area, and the second arrhythmia detection data is transmitted to the local service station. The data in the first storage area is cleared, and the next detection cycle begins. Simultaneously, the newly added first arrhythmia detection data in the second storage area is encrypted using the AES encryption algorithm based on a set key. The encrypted first arrhythmia detection data and the newly added types of arrhythmias and their absolute times of occurrence in the third storage area are transmitted to the central server through the local service station. The central server determines the severity of the arrhythmia based on its type. For severe arrhythmias, the corresponding patient, the type of arrhythmia, and its absolute time of occurrence are immediately sent to the relevant medical personnel.
[0022] The process of constructing the first abnormality detection data is as follows: taking the relative time of the occurrence of the heart rhythm abnormality as the center point, constructing a data extraction time period with a radius of 2 minutes, superimposing the detection period and the data extraction time period, and taking the overlapping time period as the actual data extraction time period, and combining the heart rate, blood pressure, blood oxygen saturation, respiratory rate and infrared image within the actual data extraction time period as the first abnormality detection data.
[0023] The process of constructing the second abnormality detection data involves using the relative time of the occurrence of the arrhythmia as the center point and constructing a data extraction time period with a radius of 2 minutes. The detection period is superimposed with the data extraction time period, and the overlapping time period is taken as the actual data extraction time period. The values of heart rate, blood pressure, blood oxygen saturation and respiratory rate within the actual data extraction time period are adjusted upward by 2% of their actual values. The detection data are desensitized without affecting the trend of data change to protect patient privacy. The adjusted heart rate, blood pressure, blood oxygen saturation and respiratory rate are combined as the second abnormality detection data.
[0024] The key generation process involves the main server transmitting a photo of the attending physician responsible for the patient to the fourth storage area via a local service station. The first processing chip uses the SHA256 algorithm to perform calculations on the digital matrix of the photo, and uses the resulting 256-bit hash value as the key. The key is then transmitted to the main server via encrypted transmission.
[0025] When a patient changes their attending physician, all encrypted first anomaly detection data corresponding to the patient needs to be deleted from the main server. The main server then transmits the new attending physician's photo to the fourth storage area via the local service station. The first processing chip uses the SHA256 algorithm to perform calculations on the digital matrix of the photo, and uses the resulting 256-bit hash value as the key. Based on the key, all first anomaly detection data in the second storage area is encrypted using the AES encryption algorithm. The encrypted first anomaly detection data is then transmitted to the main server via the local service station, and the key is transmitted to the main server via encrypted transmission.
[0026] The second abnormality detection data in the local service station is not real data and does not involve patient privacy, but it can observe the changing trends of heart rate, blood pressure, blood oxygen saturation and respiratory rate, and can be used for teaching and research. Therefore, the local service station can authorize more people to query the data while ensuring data security.
[0027] Only the patient's current attending physician can obtain the patient's real data. The process involves the attending physician collecting their own facial image through a query terminal, transmitting the facial image to the central server, which performs facial recognition. After successful recognition, the central server obtains the corresponding key and encrypted first anomaly detection data. The central server then transmits the key and encrypted first anomaly detection data to the query terminal. The query terminal decrypts the encrypted first anomaly detection data using the AES encryption algorithm based on the key to obtain the first anomaly detection data.
[0028] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the invention. It should be noted that any equivalent variations made to the present invention by those skilled in the art without departing from its design structure and principles are considered within the scope of protection of the present invention.
Claims
1. An intelligent intracardiac monitoring system, characterized in that, The intelligent cardiology department monitoring system comprises a monitoring module, a local service station and a total server, and the local service station is in communication connection with the monitoring module and the total server respectively. Each bed corresponds to a monitoring module, and each ward is provided with a local service station, and the total server is responsible for the management of the entire cardiology department.
2. The intelligent intracardiac monitoring system of claim 1, wherein, The monitoring module comprises a processing unit, an electrocardiograph, a millimeter wave radar and an infrared camera, the electrocardiograph is arranged on one side of the bed, and is used for real-time detection of the heart rate, blood pressure and blood oxygen saturation of the patient, the millimeter wave radar is arranged at the head of the bed and corresponds to the chest of the patient, and is used for real-time detection of the breathing frequency of the patient, and the infrared camera is arranged on the wall surface corresponding to the tail of the bed and takes a picture every 10 seconds to shoot the posture of the patient, and the processing unit is in communication connection with the electrocardiograph, the millimeter wave radar and the infrared camera through the star flash technology. 3.The intelligent intracardiac monitoring system according to claim 2, characterized in that, The processing unit comprises a housing, and a first processing chip, a first memory and a first communication chip are arranged in the housing.
4. The intelligent intracardiac monitoring system of claim 3, wherein, The first memory comprises a first storage area, a second storage area, a third storage area and a fourth storage area.
5. The intelligent intracardiac monitoring system of claim 4, wherein, The local service station comprises a display screen and a case, the display screen is provided with a front camera, and a second processing chip, a second memory and a second communication chip are arranged in the case.
6. The intelligent intracardiac monitoring system of claim 5, wherein, The working process of the intelligent cardiology department monitoring system is that the processing unit receives original detection data from the electrocardiograph, the millimeter wave radar and the infrared camera, processes the original detection data of the electrocardiograph to obtain the heart rate, blood pressure and blood oxygen saturation of the patient, processes the original detection data of the millimeter wave radar to obtain the breathing frequency of the patient, stores the heart rate, blood pressure, blood oxygen saturation, breathing frequency and infrared image of the patient into the first storage area, inputs the heart rate, blood pressure, blood oxygen saturation and breathing frequency of the patient into a heart rhythm judgment model at the end of a detection period (for example, 30 minutes) to obtain the type of heart rhythm abnormality and the relative time of occurrence, the relative time is the position of the time point of occurrence of the heart rhythm abnormality in the detection period, the relative time is converted into absolute time according to the sequence of the current detection period, the absolute time is the specific time of the time point of occurrence of the heart rhythm abnormality in a day, the type of heart rhythm abnormality and the absolute time of occurrence are stored into the third storage area, and the first abnormal detection data and the second abnormal detection data are constructed according to the relative time of occurrence of the heart rhythm abnormality, the first abnormal detection data is stored into the second storage area, the second abnormal detection data is transmitted to the local service station, the data in the first storage area is emptied, and the next detection period is entered, at the same time, the first abnormal detection data added to the second storage area is encrypted by using an AES encryption algorithm based on a set key, the encrypted first abnormal detection data and the type of heart rhythm abnormality and the absolute time of occurrence added to the third storage area are transmitted to the total server through the local service station, the total server judges the severity of the heart rhythm abnormality according to the type of heart rhythm abnormality, and the corresponding patient, the type of heart rhythm abnormality and the absolute time of occurrence are immediately sent to the relevant medical staff for the serious heart rhythm abnormality.
7. The intelligent intracardiac monitoring system of claim 6, wherein, The construction process of the first abnormality detection data is to take the relative time of the occurrence of the heart rhythm abnormality as a center point, to construct a data extraction time period with a radius of 2 minutes, to superimpose the detection period and the data extraction time period, to take the coinciding time period as an actual data extraction time period, to combine the heart rate, blood pressure, blood oxygen saturation, respiratory rate and infrared image in the actual data extraction time period as the first abnormality detection data. 8.The intelligent intracardiac monitoring system of claim 6, wherein, The construction process of the second abnormality detection data is to take the relative time of the occurrence of the heart rhythm abnormality as a center point, to construct a data extraction time period with a radius of 2 minutes, to superimpose the detection period and the data extraction time period, to take the coinciding time period as an actual data extraction time period, to float each value in the heart rate, blood pressure, blood oxygen saturation and respiratory rate in the actual data extraction time period by 2% of the actual value, to combine the adjusted heart rate, blood pressure, blood oxygen saturation and respiratory rate as the second abnormality detection data. 9.The intelligent intracardiac monitoring system of claim 6, wherein, The generation process of the key is that the total server transmits the photo of the attending physician responsible for the patient to the fourth storage area through the local service station, the first processing chip adopts the SHA256 algorithm to operate on the digital matrix of the photo, takes the obtained 256bit length hash value as the key, and transmits the key to the total server through encrypted transmission.
10. The intelligent intracardiac monitoring system of claim 6, wherein, When the patient changes the attending physician, the encrypted first abnormality detection data corresponding to the patient in the total server needs to be deleted, the total server transmits the photo of the new attending physician to the fourth storage area through the local service station, the first processing chip adopts the SHA256 algorithm to operate on the digital matrix of the photo, takes the obtained 256bit length hash value as the key, and encrypts all the first abnormality detection data in the second storage area based on the key using the AES encryption algorithm, transmits the encrypted first abnormality detection data to the total server through the local service station, and transmits the key to the total server through encrypted transmission.