Tumor new focus intelligent monitoring and analyzing system based on deep learning technology

Abstract

The invention relates to the technical field of focus analysis, in particular to a tumor new focus intelligent monitoring and analyzing system based on a deep learning technology. The acquisition module is used for acquiring protein information in blood of the tumor patient, storing the focus image and the protein information data of the tumor patient, and continuously monitoring and storing the heart rate, the body temperature and the weight of the tumor patient; and the analysis module is used for analyzing the data stored in the acquisition module. The analysis module can perform analysis according to a focus image, protein information data, a body temperature sensor, a heart rate sensor and a body fat module of a tumor patient to analyze which data has great influence on the tumor, and when the data is close to a set threshold value, the data close to the threshold value is recorded and uploaded to the network unit, so that the network unit can be used for monitoring the tumor. And analyzing similar data in the network unit, eliminating inducing reasons in the data, and analyzing relapse reasons.

Description

Technical Field

[0001] The present invention relates to the technical field of lesion analysis, and specifically to an intelligent monitoring and analysis system for new tumor lesions based on deep learning technology. Background Art

[0002] After searching, the patent publication number CN114757894A discloses a bone tumor lesion analysis system, including: a back-end training server, including: a first acquisition module, used to respectively acquire multiple groups of lesion image data of multiple bone tumor patients, each group of lesion image data includes X-ray images, CT images and MRI images of the corresponding bone tumor site; a model training module, used to take each group of lesion image data as input, and take the corresponding lesion classification results as output for multimodal training to obtain a corresponding lesion analysis model; a front-end analysis module, including: a first acquisition unit, used to acquire at least one group of image data to be analyzed of the bone tumor patient to be analyzed and output; the back-end training server also includes an image analysis module, used to call the lesion analysis model to process each group of image data to be analyzed to obtain the lesion classification results and output them to the front-end analysis module for doctors to view. The beneficial effect is that the present invention uses two detection networks to construct the lesion analysis model to increase the accuracy.

[0004] The above patent has the following shortcomings: when in use, the invention can only compare whether new lesions have occurred by transmitting lesion image data. In view of this, we propose an intelligent monitoring and analysis system for new tumor lesions based on deep learning technology. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent monitoring and analysis system for new tumor lesions based on deep learning technology to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: A new tumor lesion intelligent monitoring and analysis system based on deep learning technology includes: a central processing unit; an acquisition module, used to acquire protein information in the blood of tumor patients, store the lesion images and protein information data of the tumor patients, and continuously monitor and save the heart rate, body temperature and weight of the tumor patients; an analysis module, used to analyze the data stored in the acquisition module, analyze the lesion characteristics, and analyze the lesion images, protein information data, body temperature sensors, heart rate sensors, and body fat modules of the tumor patients; a display module, used for the wearer to check the condition; an alarm module, used to notify the wearer of the risk of cancer recurrence by vibration, and voice play the human health status data and protein information data through a loudspeaker; a communication module, used to transmit the information generated by the alarm module to the wearer's family, and upload the lesion images and protein information data of the tumor patients in the storage unit to the network.

[0007] Preferably, the acquisition module includes a detection unit, a storage unit, and a monitoring unit. The detection unit is used to detect protein information in the blood of tumor patients. The storage unit stores lesion images and protein information data of tumor patients. The monitoring unit includes a body temperature sensor and a heart rate sensor. The body temperature sensor is used to measure body temperature information of the human body, obtain body temperature measurement results, and transmit the body temperature measurement results to the storage unit. The heart rate sensor is used to measure heart rate information of the human body, obtain heart rate measurement results, and transmit the heart rate measurement results to the storage unit.

[0008] Preferably, the communication module includes a transmitting unit and a network unit. The transmitting unit transmits the information generated by the alarm module to the wearer's family, and the network unit uploads the information in the acquisition module and the analysis module to the network, so as to adapt to a wider range of patients for data comparison and improve practicality.

[0009] Preferably, the analysis module is used to analyze and process the lesion images and protein information data of the tumor patients in the storage unit to obtain the human health status index and the human lesion characteristics, and to compare and analyze the lesion images and protein information data of the human tumor patients to obtain human health status data, and at the same time transmit the human health status data to the central processor, and analyze which data has a greater impact on the tumor based on the lesion images, protein information data, body temperature sensor, heart rate sensor, and body fat module of the tumor patients. Whenever data approaches a set threshold, the data close to the threshold is recorded, and what the patient did when recurring is also recorded to facilitate elimination of the cause of recurrence.

[0010] Preferably, the display module is a liquid crystal high-definition display screen, and the display module is used for tumor patients to check their condition.

[0011] Preferably, the alarm module includes a vibration unit and a voice broadcast unit. The alarm module sets thresholds for the protein information data, body temperature sensor, heart rate sensor, and body fat module parameters in the storage unit. If a monitoring value exceeds the threshold, an alarm is issued through the vibration unit.

[0012] Preferably, the vibration unit notifies the wearer of the risk of cancer recurrence by means of vibration.

[0013] Preferably, the voice broadcast unit is internally configured to play the human health status data and protein information data by voice through a speaker.

[0014] Compared with the prior art, it has the following beneficial effects: 1. This is an intelligent monitoring and analysis system for new tumor lesions based on deep learning technology. Through the analysis module, it can analyze the lesion images, protein information data, body temperature sensors, heart rate sensors, and body fat modules of tumor patients to analyze which data has a greater impact on the tumor. Whenever data approaches a set threshold, the data close to the threshold is recorded and uploaded to a network unit to analyze similar data in the network unit, eliminate the inducing causes in the data, and analyze the causes of recurrence.

[0015] 2. This is an intelligent monitoring and analysis system for new tumor lesions based on deep learning technology. Through the alarm module and the display module, the display module is used for tumor patients to check their condition. The alarm module plays human health status data and tumor patients' lesion images and protein information data through a speaker for early warning.

[0016] 3. This intelligent monitoring and analysis system for new tumor lesions based on deep learning technology, through the transmitting unit and network unit in the communication module, the transmitting unit transmits the information generated by the alarm module to the wearer's family, prevents the patient's physical condition and seeks medical treatment in time, and the network unit uploads the information data in the acquisition module and the analysis module to the network, adapts to a wider range of patients for data comparison, and improves practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] like Figure 1 As shown, a new tumor lesion intelligent monitoring and analysis system based on deep learning technology includes: a central processing unit; an acquisition module, used to acquire protein information in the blood of tumor patients, store the lesion images and protein information data of tumor patients, and continuously monitor and save the heart rate, body temperature and weight of tumor patients; an analysis module, used to analyze the data stored in the acquisition module, analyze the lesion characteristics, and analyze the lesion images, protein information data, body temperature sensor, heart rate sensor and body fat module of the tumor patients; a display module for the wearer to check the condition; an alarm module, used to notify the wearer of the risk of cancer recurrence by vibration, and voice play the human health status data and protein information data through a speaker; a communication module, used to transmit the information generated by the alarm module to the wearer's family, and upload the lesion images and protein information data of the tumor patients in the storage unit to the network.

[0020] The acquisition module includes a detection unit, a storage unit, and a monitoring unit. The detection unit is used to detect protein information in the blood of tumor patients. The storage unit stores the lesion images and protein information data of tumor patients. The monitoring unit includes a temperature sensor and a heart rate sensor. The temperature sensor is used to measure the body temperature information of the human body, obtain the body temperature measurement result, and transmit the body temperature measurement result to the storage unit. The heart rate sensor is used to measure the heart rate information of the human body, obtain the heart rate measurement result, and transmit the heart rate measurement result to the storage unit.

[0021] The communication module includes a transmitting unit and a network unit. The transmitting unit transmits the information generated by the alarm module to the wearer's family, and the network unit uploads the information in the acquisition module and the analysis module to the network, adapting to a wider range of patients for data comparison and improving practicality.

[0022] The analysis module is used to analyze and process the lesion images and protein information data of the tumor patients in the storage unit to obtain the human health status index and the lesion characteristics of the human body, and to compare and analyze the lesion images and protein information data of the human tumor patients to obtain the human health status data. At the same time, the human health status data is transmitted to the central processing unit, and the lesion images, protein information data, body temperature sensors, heart rate sensors, and body fat modules of the tumor patients are analyzed to analyze which data has a greater impact on the tumor. Whenever data approaches the set threshold, the data close to the threshold is recorded, and what the patient did when recurring is also recorded to facilitate elimination of the cause of recurrence.

[0023] The display module is a liquid crystal high-definition display screen, which is used by cancer patients to check their condition.

[0024] The alarm module includes a vibration unit and a voice broadcast unit. The alarm module sets thresholds for the protein information data, body temperature sensor, heart rate sensor, and body fat module parameters in the storage unit. If a monitoring value exceeds the threshold, an alarm is issued through the vibration unit.

[0025] The vibration unit uses vibration to notify the wearer of the risk of cancer recurrence.

[0026] The voice broadcast unit is internally configured to play the human health status data and protein information data via a loudspeaker.

[0027] The working principle of the present invention is as follows: through the detection unit in the acquisition module, the patient is subjected to blood test, the detected data is stored in the storage unit in the acquisition module, the data of the body temperature sensor, the heart rate sensor, and the body fat module are monitored for a long time, the analysis module can analyze the lesion image, protein information data, body temperature sensor, heart rate sensor, and body fat module of the tumor patient to analyze which data has a greater impact on the tumor, whenever there is data close to the set threshold, the data close to the threshold is recorded and uploaded to the network unit to analyze similar data in the network unit, eliminate the inducing causes in the data, and analyze the recurrence cause, through the alarm module and the display module, the display module is used for the tumor patient to check the condition, the alarm module plays the human health status data and the lesion image and protein information data of the tumor patient through the speaker for early warning, and can also remind the wearer by vibration, through the transmitting unit and the network unit in the communication module, the transmitting unit transmits the information generated by the alarm module to the wearer's family, prevents the patient's physical condition, and seeks medical treatment in time, the network unit uploads the information data in the acquisition module and the analysis module to the network, adapts to a wider range of patients for data comparison, and improves practicality.

[0028] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent monitoring and analysis system for new tumor lesions based on deep learning technology, characterized in that: include: CPU; The acquisition module is used to obtain protein information in the blood of tumor patients, store the tumor patient's lesion image and protein information data, and continuously monitor and save the tumor patient's heart rate, body temperature, and weight; The analysis module is used to analyze the data stored in the acquisition module to analyze the characteristics of the lesions, and analyze the lesion images, protein information data, body temperature sensors, heart rate sensors, and body fat modules of the tumor patients; Display module, used for the wearer to check the condition; An alarm module is used to notify the wearer of the risk of cancer recurrence by vibration, and to play the human health status data and protein information data through a speaker; The communication module is used to transmit the information generated by the alarm module to the wearer's family, and upload the lesion image and protein information data of the tumor patient in the storage unit to the network.

2. The intelligent monitoring and analysis system for new tumor lesions based on deep learning technology according to claim 1 is characterized in that: The acquisition module includes a detection unit, a storage unit, and a monitoring unit. The detection unit is used to detect protein information in the blood of tumor patients. The storage unit stores lesion images and protein information data of tumor patients. The monitoring unit includes a body temperature sensor and a heart rate sensor. The body temperature sensor is used to measure body temperature information of a human body, obtain a body temperature measurement result, and transmit the body temperature measurement result to the storage unit. The heart rate sensor is used to measure heart rate information of a human body, obtain a heart rate measurement result, and transmit the heart rate measurement result to the storage unit.

3. The intelligent monitoring and analysis system for new tumor lesions based on deep learning technology according to claim 2 is characterized in that: The communication module includes a transmitting unit and a network unit. The transmitting unit transmits the information generated by the alarm module to the wearer's family, and the network unit uploads the information in the acquisition module and the analysis module to the network, adapting to a wider range of patients for data comparison and improving practicality.

4. The intelligent monitoring and analysis system for new tumor lesions based on deep learning technology according to claim 2, characterized in that: The analysis module is used to analyze and process the lesion images and protein information data of the tumor patients in the storage unit to obtain the health status index and lesion characteristics of the human body, and to compare and analyze the lesion images and protein information data of the tumor patients to obtain the human health status data. At the same time, the human health status data is transmitted to the central processor, and analysis is performed based on the lesion images, protein information data, body temperature sensor, heart rate sensor, and body fat module of the tumor patients to analyze which data has a greater impact on the tumor. Whenever data approaches a set threshold, the data close to the threshold is recorded, and what the patient did when recurring is also recorded to facilitate elimination of the cause of recurrence.

5. The intelligent monitoring and analysis system for new tumor lesions based on deep learning technology according to claim 4 is characterized in that: The display module is a liquid crystal high-definition display screen, and the display module is used for tumor patients to check their condition.

6. The intelligent monitoring and analysis system for new tumor lesions based on deep learning technology according to claim 5, characterized in that: The alarm module includes a vibration unit and a voice broadcast unit. The alarm module sets thresholds for the protein information data, body temperature sensor, heart rate sensor, and body fat module parameters in the storage unit. If a monitoring value exceeds the threshold, an alarm is issued through the vibration unit.

7. The intelligent monitoring and analysis system for new tumor lesions based on deep learning technology according to claim 6 is characterized by: The vibration unit notifies the wearer of the risk of cancer recurrence by means of vibration.

8. The intelligent monitoring and analysis system for new tumor lesions based on deep learning technology according to claim 7, characterized in that: The voice broadcast unit is internally configured to play the human health status data and protein information data by voice through a loudspeaker.

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