CN110879766B - Host recovery system - Google Patents

Host recovery system Download PDF

Info

Publication number
CN110879766B
CN110879766B CN201911142847.2A CN201911142847A CN110879766B CN 110879766 B CN110879766 B CN 110879766B CN 201911142847 A CN201911142847 A CN 201911142847A CN 110879766 B CN110879766 B CN 110879766B
Authority
CN
China
Prior art keywords
module
shutdown
data
power
recovery system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911142847.2A
Other languages
Chinese (zh)
Other versions
CN110879766A (en
Inventor
邵小虎
熊双涛
陈丽丽
宋亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Insight Lifetech Co Ltd
Original Assignee
Insight Lifetech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Insight Lifetech Co Ltd filed Critical Insight Lifetech Co Ltd
Publication of CN110879766A publication Critical patent/CN110879766A/en
Application granted granted Critical
Publication of CN110879766B publication Critical patent/CN110879766B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1415Saving, restoring, recovering or retrying at system level
    • G06F11/1441Resetting or repowering

Abstract

The invention provides a host recovery system, which is characterized by comprising: the system comprises a marking module, a power-off module and a power-off module, wherein the marking module is used for setting a power-off mark marked as 'waiting for power-off' or 'normal'; a non-volatile storage module for storing at least a shutdown flag; the monitoring module is used for acquiring real-time data of the patient and writing the data into the nonvolatile storage module; the checking module is used for reading the shutdown marker and judging whether the shutdown marker is in an abnormal shutdown state; and the recovery module is used for judging whether to extract the real-time data from the nonvolatile storage module or not based on the shutdown marker, extracting the real-time data from the nonvolatile storage module when the shutdown marker is in an abnormal shutdown state, and recovering the real-time data to the monitoring module. According to the invention, the data loss caused by abnormal shutdown caused by sudden power failure can be prevented.

Description

Host recovery system
The application is filed as12 month and 30 days 2018Application No. is2018116469281The invention is named asFFR master Data recovery system and data recovery method for computerDivisional application of the patent application.
Technical Field
The invention relates to a host recovery system.
Background
Fractional Flow Reserve (FFR) is used to assess the extent to which a stenotic lesion obstructs blood flow through a blood vessel. To calculate the FFR for a given stenosis, two blood pressure readings are taken. One blood pressure reading is taken on the distal side of the stenosis and the other blood pressure reading is taken on the proximal side of the stenosis. FFR is defined as the ratio of the maximum blood flow to the normal maximum blood flow in a stenosed artery taken distal to the lesion and is usually calculated based on the pressure gradient of the measured pressure from the distal pressure to the proximal pressure.
In some applications where a guidewire-based pressure sensor is used, the guidewire has to be repositioned each time a measurement is made, and in cases where multiple lesions are encountered, even multiple repositioning is required for measuring each lesion, which is obviously time consuming and can cause many undesirable effects. Particularly, in the area with unstable power supply, if sudden power failure occurs, the measurement is often interrupted, and even the data measured before is lost.
At present, before the FFR system is abnormally shut down, patient data and sensor calibration data are usually recorded in a file, and when the system is started next time, the data are read from the file, and the data are checked and recovered. However, the time for reading and writing the file is long, the abnormal power-off time is long and uncertain, and once the power is off, the file read and written at the power-off time is usually damaged. Once the file storing the data is corrupted, the system cannot read the data therein, nor can the check be recovered.
Disclosure of Invention
The present invention has been made in view of the above circumstances, and an object thereof is to provide a host recovery system that effectively prevents data loss due to abnormal shutdown.
Therefore, the invention provides a data recovery system of an FFR host, which is characterized by comprising the following steps: the marking module is used for setting a shutdown mark; a nonvolatile storage module for storing at least the shutdown flag; the monitoring module is used for acquiring real-time data of a patient and writing the data into the nonvolatile storage module; the checking module is used for reading the shutdown marker and judging whether the shutdown marker is in an abnormal shutdown state; and the recovery module is used for judging whether to extract the real-time data from the nonvolatile storage module or not based on the shutdown marker, and extracting the real-time data from the nonvolatile storage module when the shutdown marker is in an abnormal shutdown state.
In the invention, firstly, a shutdown mark is set for a system after startup and a shutdown mark is set for a system after normal shutdown through a marking module, and the shutdown mark is written into a nonvolatile storage module. When the computer is started again, the check module reads the shutdown mark from the nonvolatile storage module, judges whether the data needs to be recovered or not, if not, enters a normal starting step, and if the abnormal shutdown state is judged and the data needs to be recovered, enters a recovery module. And after the recovery module is started, reading data before power failure from the nonvolatile storage module, and then entering a normal starting step. Under the condition, even if the condition of sudden power failure occurs, the examination and treatment can be continuously carried out by using the data before power failure stored in the nonvolatile storage module after the restart without rechecking, so that the possibility of data loss caused by abnormal shutdown can be reduced, and the time of doctors and patients is greatly saved.
In the host recovery system related to the present invention, optionally, in the marking module, a shutdown mark of "waiting for shutdown" is set when the host is started, and a shutdown mark of "normal" is set when the host is normally shutdown. When the power is turned on, the check module reads the power-off mark as 'waiting for power off', and judges the power is in the abnormal power-off state, and when the power-off mark is 'normal', the check module judges the power is normally turned off. In this case, after the abnormal shutdown, the shutdown flag detected by the verification module is "to be shutdown" when the system is restarted, so that whether the previous shutdown belongs to the normal shutdown or the abnormal shutdown can be simply determined.
In the host recovery system according to the present invention, optionally, the host recovery system further includes a zero calibration module, and the zero calibration module is configured to poll and record a timestamp and update a zero calibration state at regular time, and write data into the nonvolatile memory module. Therefore, the checking module can judge whether the abnormal shutdown is completed or not through the timestamp and the zero calibration state, so that whether the data recovery operation is performed or not is judged automatically.
In the host recovery system according to the present invention, optionally, the zeroing status includes: zero calibration, zero calibration not, zero calibration success, and zero calibration failure. Therefore, whether the check before the shutdown is finished last time can be judged according to the zero calibration state.
In the host recovery system according to the present invention, optionally, the checking module further reads and checks a timestamp and a zero status from the nonvolatile memory module, and is configured to determine whether the examination of the patient before the abnormal shutdown is finished. This makes it possible to appropriately recover data.
In the host recovery system according to the present invention, optionally, the recovery module further includes reading sensor data from the nonvolatile memory module and recovering sensor zero calibration. Thus, the measurement can be continued immediately before shutdown.
In the host recovery system according to the present invention, optionally, the nonvolatile memory module is a programmable program memory (EEPROM). Therefore, real-time monitoring data can be stored rapidly, and loss is prevented.
In the host recovery system of the present invention, optionally, the real-time data includes sensor data and patient data. This enables sensor data and patient data to be provided for data recovery.
According to the invention, the host recovery system capable of effectively preventing data loss caused by abnormal shutdown can be provided.
Drawings
Fig. 1 is a block diagram showing a host recovery system according to embodiment 1 of the present invention.
Fig. 2 is a monitoring block diagram showing the host recovery system according to embodiment 1 of the present invention.
Fig. 3 is a flowchart showing a data recovery method of the host recovery system according to embodiment 1 of the present invention.
Fig. 4 is a block diagram showing another example of the host recovery system according to embodiment 2 of the present invention.
Fig. 5 is a flowchart showing a data recovery method of the host recovery system according to embodiment 2 of the present invention.
Fig. 6 is a flowchart showing the zeroing step of the data recovery method of the host recovery system according to embodiment 2 of the present invention.
Fig. 7 is a flowchart showing the recovery procedure of the data recovery method of the host recovery system according to embodiment 2 of the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, the same components are denoted by the same reference numerals, and redundant description thereof is omitted. The drawings are schematic and the ratio of the dimensions of the components and the shapes of the components may be different from the actual ones.
It is noted that, as used herein, the terms "comprises," "comprising," or any other variation thereof, such that a process, method, system, article, or apparatus that comprises or has a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include or have other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, the headings and the like designed in the following description of the present invention are not intended to limit the content or scope of the present invention, but merely serve as a reminder for reading. Such a subtitle should not be understood as a means for segmenting article content, nor should the content under the subtitle be limited to only the scope of the subtitle.
[ embodiment 1 ]
Hereinafter, embodiment 1 of the present invention will be described in detail with reference to fig. 1 and 2. Fig. 1 is a block diagram showing a data recovery system of an FFR host according to embodiment 1 of the present invention. Fig. 2 is a monitoring block diagram showing the data recovery system of the FFR host according to embodiment 1 of the present invention.
As shown in fig. 1, the FFR host data recovery system (hereinafter, sometimes referred to as "data recovery system") S1 according to the present embodiment may include a check module 110, a recovery module 120, a marker module 130, a monitoring module 140, and a nonvolatile storage module 150.
In the data recovery system S1 according to this embodiment, the flag module 130 may be configured to set a shutdown flag; the non-volatile storage module 150 may be configured to store at least the shutdown flag; the monitoring module 140 may be used to obtain real-time data of the patient and write to the non-volatile memory module 150; the checking module 110 may be configured to read the shutdown flag, and determine whether the shutdown flag is in an abnormal shutdown state; and the recovery module 120 may determine whether to extract the real-time data from the storage module based on the shutdown flag, and extract the real-time data from the nonvolatile storage module 150 when the shutdown flag is in an abnormal shutdown state.
In the present embodiment, first, the flag block 130 sets a shutdown flag for the system after shutdown and sets a shutdown flag for the system after normal shutdown, and writes the shutdown flags into the nonvolatile memory block 150. When the computer is powered on again, the check module 110 first reads the power-off flag from the nonvolatile memory module 150, and determines whether data needs to be restored, if not, the computer enters a normal startup procedure, and if it is determined that the computer is in an abnormal power-off state and data needs to be restored, the computer enters the restoration module 120. After the recovery module 120 is started, the data before power failure is read from the nonvolatile memory module 150, and is recovered to the monitoring module 140, and then the normal start procedure is performed. In this case, even if an unexpected power failure occurs, the examination and treatment can be continued by using the pre-power-failure data stored in the nonvolatile memory module 150 after the restart without re-detection. The condition of data loss caused by abnormal shutdown caused by sudden power failure is prevented, the time of doctors and patients is greatly saved, and a solution is provided for various unexpected power failure conditions.
In this embodiment, the checking module 110 (described later) may determine whether to enter the recovering module 120 by checking a shutdown flag, and the marking module 130 may include a shutdown flag set to "wait for shutdown" when the power is turned on, and a shutdown flag set to "normal" when the power is normally turned off.
In this embodiment, the marking module 130 may obtain the last recorded shutdown marker by reading the digital signal from the nonvolatile storage module 150, and after updating the last recorded shutdown marker to the current shutdown marker, write the last recorded shutdown marker into the nonvolatile storage module 150. Therefore, the shutdown flag after power failure can be prevented from being lost, and the data cannot be automatically entered into the recovery module 120 for data recovery.
In some examples, the shutdown flag may be a digital signal generated by a digital signal generator, e.g., "to shutdown" may be 1 and "normal" is 0. That is, before normal shutdown, the inverse operation may be performed on the digital signal and the digital signal may be written into the nonvolatile memory module 150 instead of the previous digital signal. In other examples, the digital signal of the digital signal generator may be 0, in which case the shutdown flag for "to shutdown" is 0 and the shutdown flag for "normal" is 1.
In other examples, the shutdown flag may also be comprised of two digital signals. For example, when the computer is turned on, the first digital signal 1 is written into the nonvolatile memory module 150, when the computer is turned off, the second digital signal 0 is written into the nonvolatile memory module 150 and replaces the previous digital signal 1, when the computer is turned on again, the first digital signal 1 is written into the nonvolatile memory module 150 and replaces the previous power-off mark, that is, the previous power-off mark is replaced by the two digital signals when the power-off mark needs to be updated each time. In other examples, the digital signal corresponding to the power-off flag at power-on may be 0, and the digital signal corresponding to the power-off flag at power-off may be 1. In this case, by using a mode in which two digital signals are alternately written as the shutdown flag, it is possible to prevent an operation error or instability from occurring.
In this embodiment, the nonvolatile storage module 150 may at least store a shutdown flag, and the verification module 110 determines whether the last shutdown is an abnormal shutdown by reading the shutdown flag. In some examples, the nonvolatile storage module 150 may also store sensor data and patient data, and the recovery module 120 (described later) restores the data to the corresponding module by reading the sensor data and the patient data. Therefore, the data before abnormal shutdown can be linked up, and the measurement is continued.
In other examples, non-volatile storage module 150 may also store a timestamp and a zeroing status. Here, the time stamp refers to a mark every time the sensor stores data to the nonvolatile memory module 150. In some examples, the updated timestamp may replace the previous timestamp. This can save a memory space.
Additionally, in some examples, the non-volatile storage module 150 may also match patient data with sensor data. This reduces the possibility of occurrence of excessive restoration data or missing restoration data.
In this embodiment, the nonvolatile memory module 150 may be composed of an Electrically Erasable Programmable Read Only Memory (EEPROM), and since it does not refresh the contents of the memory at regular time, it has a fixed nature that the data stored therein is not lost when power is off. Therefore, real-time monitoring data can be stored rapidly, and loss is prevented.
In some examples, nonvolatile memory module 150 may also be comprised of Read Only Memory (ROM), Programmable Read Only Memory (PROM), Erasable Programmable Read Only Memory (EPROM), or ferroelectric memory (FeRAM). In this case, the nonvolatile memory module 150 has the characteristics of high storage stability and difficulty in losing the data stored in the memory, so that a stable storage structure can be provided for the data recovery system S1 after abnormal shutdown.
In this embodiment, the monitoring module 140 obtains real-time data of the patient by means of the sensors 141 and information input, and writes the data into the non-volatile memory module 150.
In this embodiment, the real-time data includes sensor data and patient data, and the monitoring module 140 measures pressure data on both sides of the lesion by the pressure sensor 141. In some examples, the sensor data is comprised of Pa measured by a proximal pressure sensing probe near the heart near the lesion and Pd measured by a distal pressure sensing probe away from the heart. In some examples, the patient data is, for example, patient ID, age, medical record information, and the like.
As shown in fig. 2, in the present embodiment, the signal obtained by the sensor 141 is an analog signal, and after the signal is removed by the RC filter 142, the analog signal is converted into a digital signal by the analog-to-digital converter (ADC)144, wherein since the analog-to-digital converter (ADC)144 can only convert one analog signal at a time, a selection module 143 needs to be added in the prior art so that the analog signal can sequentially pass through the analog-to-digital converter (ADC)144 module, and simultaneously be written into the nonvolatile memory module 150 for storage, and finally the digital signal is sent to the display 145 for display.
In the present embodiment, the signal obtained by the sensor 141 may be a differential signal, where the differential signal refers to two signals with equal amplitude, same phase and opposite polarity, and the differential signal transmission also requires two wires, and unlike a single-ended signal, both the two wires for transmitting the differential signal are used for transmitting a pressure signal, where the two wires for transmitting the differential signal are necessarily two wires that are equal in length, equal in width, and closely adjacent to each other and on the same plane.
In addition, in the present embodiment, the differential signal has an advantage of strong interference resistance, because the interference noise is generally simultaneously applied to the two wires for transmitting the differential signal, and the interference noise on the two wires is the same in magnitude, the difference value of the interference noise on the two wires for transmitting the differential signal is 0, and the differential signal is processed and analyzed mainly by the difference value of the two voltages of the differential signal, so that the interference noise has a small influence on the differential signal.
In addition, in the present embodiment, the differential signal has an advantage that electromagnetic interference can be effectively suppressed. Because two wires for transmitting differential signals are close to each other and the amplitudes of signals on the two wires are the same, the amplitudes of coupling electromagnetic fields between the two wires and the ground wire are also the same, and in addition, the polarities of signals on the two wires are opposite, and the generated electromagnetic fields are mutually cancelled. Therefore, the influence of electromagnetic interference to the outside on the differential signal is small.
In addition, in some examples, the signal obtained by the sensor 141 may also be a single-ended signal, which requires two wires for transmission, one wire for transmitting the pressure signal and the other wire for transmitting the ground signal.
In this embodiment, the patient data may be obtained by manual input.
In some examples, the patient data may also be obtained by scanning a personal information barcode or cloud transmission.
This enables sensor data and patient data to be provided for data recovery.
In this embodiment, the checking module 110 determines whether the last shutdown is in an abnormal shutdown state by reading the shutdown flag from the storage module and then determining the shutdown flag, and if the last shutdown is in the abnormal shutdown state, the recovering module 120 is entered.
When the system is powered on, the check module 110 reads the power-off flag as "waiting to be powered off", and determines the system to be in an abnormal power-off state, and when the power-off flag is "normal", determines the system to be in a normal power-off state.
In some examples, when "to be shut down" is 1 and "normal" is 0, the shutdown flag detected by powering on again after abnormal shutdown will be 1. When the "to-be-shut-down" is 0 and the "normal" is also 1, the shut-down flag detected by restarting after abnormal shut-down will be 0. In this case, after the abnormal shutdown, the shutdown flag detected by the verification module 110 is "to be shutdown" when the system is restarted, so that it can be simply determined whether the previous shutdown belongs to the normal shutdown or the abnormal shutdown.
In other examples, the shutdown flag may also be comprised of two digital signals. For example, when the computer is powered on, the first digital signal 1 is written into the nonvolatile memory module 150, when the computer is powered off, the second digital signal 0 is written into the nonvolatile memory module 150 and replaces the previous digital signal 1, when the computer is powered on again, the first digital signal 1 is written into the nonvolatile memory module 150 and replaces the previous power-off mark, and when the computer is abnormally powered off, the power-off mark detected by the verification module 110 after the computer is powered on is 1. In this case, by using a mode in which two digital signals are alternately written as the shutdown flag, it is possible to prevent an operation error or instability from occurring.
In this embodiment, the checking module 110 determines whether the recovery module 120 needs to be used according to the shutdown flag, and when the shutdown flag is in an abnormal shutdown state, extracts real-time data from the nonvolatile storage module 150 and recovers the data to the monitoring module 140.
Therefore, data before abnormal shutdown can be linked up, and further measurement can be continued under the condition that measurement is not influenced.
Hereinafter, the data recovery method of the FFR host will be described in detail with reference to the drawings.
As shown in fig. 3, in the data recovery method of the FFR host according to the present embodiment, after the FFR host is started, the shutdown flag is extracted from the nonvolatile storage module 150, and whether the FFR host is in an abnormal shutdown state is determined according to the shutdown flag (step S110); if the shutdown flag is in an abnormal shutdown state, extracting check data before abnormal shutdown from the nonvolatile storage module (step S120); if the shutdown flag is not in the abnormal shutdown state, the shutdown state is marked as 'waiting for shutdown', and the shutdown state is stored in the nonvolatile storage module (step S130); reading real-time data of a patient and storing the real-time data into the nonvolatile storage module (step S140); the system is shut down and a flag step is simultaneously entered, a shutdown flag is set to "normal", and the shutdown flag is stored in the nonvolatile memory module 150 (step S150).
In this case, even if an unexpected power failure occurs, the data before the power failure can be recovered by the recovery step after the restart to continue the inspection treatment without re-inspection. The condition of data loss caused by abnormal shutdown caused by sudden power failure is prevented, the time of doctors and patients is greatly saved, and a solution is provided for various unexpected power failure conditions.
[ 2 nd embodiment ]
Hereinafter, embodiment 2 of the present invention will be described in detail with reference to fig. 4 to 7.
Fig. 4 is a block diagram showing a data recovery system of an FFR host according to embodiment 2 of the present invention. Fig. 5 is a flowchart showing a data recovery method of the FFR host according to embodiment 2 of the present invention. Fig. 6 is a flowchart showing the zeroing step of the data recovery method of the FFR host according to embodiment 2 of the present invention. Fig. 7 is a flowchart showing the recovery procedure of the data recovery method of the FFR host according to embodiment 2 of the present invention.
The difference between the data recovery system S2 of the FFR host according to the present embodiment and the data recovery system S1 of the FFR host according to embodiment 1 is that: the data recovery system of the FFR host according to the present embodiment may further include a zeroing module 160. The zeroing module 160 may be used to zero the sensors and periodically poll and record the time stamp and update the zeroing status while writing data to the non-volatile storage module 150.
In this embodiment, the zeroing may be performed by feeding the pressure guide wire into the opening of the guiding catheter, allowing the pressure sensor to just exit the guiding catheter port, and keeping the pressure sensor in a state of being communicated with the atmosphere, so that the pressure signal (Pd) of the pressure guide wire is equal to the pressure signal (Pa) of the aorta.
In this embodiment, the zeroing state may include: zero calibration, zero calibration success and zero calibration failure exist, and when the verification module 110 detects that the zero calibration state is zero calibration and zero calibration success, the check before abnormal shutdown is not completed; when the checking module 110 detects that the zero checking state is zero, the checking is completed before the abnormal shutdown; when the checking module 110 detects that the zeroing status is zero and the zeroing fails, the checking needs to be performed again and the zeroing needs to be performed again. Therefore, the checking module 110 can determine whether to complete the check before the abnormal shutdown through the timestamp and the zero calibration state, so as to automatically determine whether to perform the data recovery operation.
As shown in fig. 6, in this embodiment, the checking module 110 may further include reading and checking the timestamp and the zeroing status from the nonvolatile storage module 150 for determining whether the examination of the patient before the abnormal shutdown is finished. This makes it possible to appropriately perform data recovery, and to reduce the possibility of erroneous recovery.
In this embodiment, the recovery module 120 may also read the sensor zeroing data from the nonvolatile memory module 150 and recover the sensor zeroing. Therefore, the steps and time for re-zeroing after abnormal shutdown can be reduced.
The data recovery method of the FFR master according to the present embodiment further includes a zeroing step (step S160) of aligning the aortic pressure values measured by the two sensors with the atmospheric pressure value by the zeroing sensors, as compared with the data recovery method of the master according to embodiment 1.
In this embodiment, as shown in fig. 6, step S160 may further include periodically polling the update timestamp and the zero calibration status (step S161), and writing the sensor data to the nonvolatile memory module 150 while updating the sensor data (step S162).
In this embodiment, the checking step may further include determining whether data recovery is required (step S170), and if it is determined that data recovery is required, the process proceeds to step S120; if it is determined that recovery is not necessary, the process proceeds to step S130.
In this embodiment, as shown in fig. 7, step S120 may further include reading data from the memory and restoring patient data and sensor data (step S121), and then reading data from the memory and restoring sensor zero calibration (step S122).
In some examples, step 121 may be performed in reverse order of step 122, i.e., the data is read from the memory and the sensor zero calibration is resumed (step S122), and then the data is read from the memory and the patient data and the sensor data are resumed (step S121).
Therefore, the detection accuracy can be improved, whether the recovery step needs to be carried out or not can be automatically judged, and the possibility of error recovery can be further reduced.
While the invention has been specifically described above in connection with the drawings and examples, it will be understood that the above description is not intended to limit the invention in any way. Those skilled in the art can make modifications and variations to the present invention as needed without departing from the true spirit and scope of the invention, and such modifications and variations are within the scope of the invention.

Claims (9)

1. A host recovery system is characterized in that,
the method comprises the following steps:
the system comprises a marking module, a power-off module and a power-off module, wherein the marking module is used for setting a power-off mark marked as 'waiting for power-off' or 'normal';
a nonvolatile storage module for storing at least the shutdown flag;
the monitoring module is used for obtaining real-time data of a patient and writing the real-time data into the nonvolatile storage module, the real-time data comprises sensor data obtained by a sensor, the monitoring module comprises a sensor, a selection module and an analog-to-digital converter (ADC), the sensor is used for obtaining pressure data with signal types of analog signals at two sides of a lesion end, the selection module is used for enabling the pressure data to sequentially pass through the ADC, and the ADC is used for converting the signal types of the pressure data into digital signals;
the checking module is used for reading the shutdown marker and judging whether the shutdown marker is in an abnormal shutdown state;
the recovery module is used for judging whether the real-time data is extracted from the nonvolatile storage module or not based on the shutdown marker, extracting the real-time data from the nonvolatile storage module when the shutdown marker is in an abnormal shutdown state, and recovering the real-time data to the monitoring module; and
and the zero calibration module is used for performing zero calibration on the sensor, regularly polling and recording a time stamp and updating a zero calibration state, and writing data into the nonvolatile storage module.
2. The host recovery system according to claim 1, wherein:
in the marking module, a shutdown mark of 'waiting for shutdown' is set when the computer is started, and a shutdown mark of 'normal' is set when the computer is normally shut down; when the power is turned on, the check module reads the power-off mark as 'waiting for power off', and judges the power is in the abnormal power-off state, and when the power-off mark is 'normal', the check module judges the power is normally turned off.
3. The host recovery system according to claim 1, wherein:
the verification module further comprises a module for reading and verifying time and zero status from the nonvolatile storage module, and is used for determining whether the examination of the patient before abnormal shutdown is finished.
4. The host recovery system according to claim 1, wherein:
the zeroing state comprises: zero calibration, zero calibration not, zero calibration success, and zero calibration failure.
5. The host recovery system according to claim 1, wherein:
the recovery module further includes reading sensor data from the non-volatile storage module and recovering sensor zeros.
6. The host recovery system according to claim 1, wherein:
the non-volatile memory module is a programmable program memory (EEPROM).
7. The host recovery system according to claim 1, wherein:
the sensor includes a proximal pressure sensing probe and a distal pressure sensing probe.
8. The host recovery system according to claim 1, wherein:
the pressure data is a differential signal.
9. The host recovery system according to claim 1, wherein:
the marking module is also used for reading the shutdown mark recorded at the previous time from the nonvolatile storage module and updating the shutdown mark to the current shutdown mark.
CN201911142847.2A 2017-12-30 2018-12-30 Host recovery system Active CN110879766B (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN2017114937225 2017-12-30
CN201711493722 2017-12-30
CN201811646928.1A CN109460324B (en) 2017-12-30 2018-12-30 Data recovery system and data recovery method of FFR (fringe field switching) host

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
CN201811646928.1A Division CN109460324B (en) 2017-12-30 2018-12-30 Data recovery system and data recovery method of FFR (fringe field switching) host

Publications (2)

Publication Number Publication Date
CN110879766A CN110879766A (en) 2020-03-13
CN110879766B true CN110879766B (en) 2020-12-01

Family

ID=65616175

Family Applications (4)

Application Number Title Priority Date Filing Date
CN201911142847.2A Active CN110879766B (en) 2017-12-30 2018-12-30 Host recovery system
CN201911144208.XA Active CN110825566B (en) 2017-12-30 2018-12-30 FFR host with data recovery function
CN201811646928.1A Active CN109460324B (en) 2017-12-30 2018-12-30 Data recovery system and data recovery method of FFR (fringe field switching) host
CN201822262335.7U Active CN209357045U (en) 2017-12-30 2018-12-30 The data recovery system of FFR host

Family Applications After (3)

Application Number Title Priority Date Filing Date
CN201911144208.XA Active CN110825566B (en) 2017-12-30 2018-12-30 FFR host with data recovery function
CN201811646928.1A Active CN109460324B (en) 2017-12-30 2018-12-30 Data recovery system and data recovery method of FFR (fringe field switching) host
CN201822262335.7U Active CN209357045U (en) 2017-12-30 2018-12-30 The data recovery system of FFR host

Country Status (1)

Country Link
CN (4) CN110879766B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112617771B (en) * 2020-12-28 2021-11-09 深圳北芯生命科技股份有限公司 Method and system for determining diagnosis mode based on blood vessel congestion state
CN113296442B (en) * 2021-05-21 2022-10-28 研祥智能科技股份有限公司 Power supply control device, power supply control method and system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1142662A (en) * 1995-04-11 1997-02-12 迪维安公司 Apparatus and method for suppression of electromagnetic interference
CN1244104A (en) * 1997-01-20 2000-02-09 卡佩迭姆保健有限社团 Apparatus and system for the telematic control of physiological parameters of patients
CN1722030A (en) * 2004-07-15 2006-01-18 株式会社日立制作所 Vehicle control system
CN201015590Y (en) * 2007-03-28 2008-02-06 李楚雅 Bloodstream storing mark real time continuous measurement system
CN104035893A (en) * 2014-06-30 2014-09-10 浪潮(北京)电子信息产业有限公司 Method for data storage during abnormal power down of computer
US9122711B1 (en) * 2012-05-24 2015-09-01 Symantec Corporation Simplified system backup protection and recovery

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101477482B (en) * 2008-10-14 2011-01-19 深圳市共进电子有限公司 Method for recovering flash memory data at power-off of built-in Linux system
US8213195B2 (en) * 2010-01-22 2012-07-03 Inno-Tech Co., Ltd. Pulse width modulation step wave and sine wave driving device
US9858387B2 (en) * 2013-01-15 2018-01-02 CathWorks, LTD. Vascular flow assessment
CN104658611A (en) * 2013-11-25 2015-05-27 深圳市国微电子有限公司 Method and system for testing abnormal power failure of solid-state hard disk
CN104133740A (en) * 2014-07-28 2014-11-05 浪潮软件集团有限公司 Method for recovering abnormal power failure data
CN106155943B (en) * 2015-04-01 2019-03-26 浙江大华技术股份有限公司 A kind of method and device of the power down protection of dual control storage equipment
CN107145410B (en) * 2017-06-08 2021-06-29 郑州云海信息技术有限公司 Method, system and equipment for automatically powering on and starting up system after abnormal power failure

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1142662A (en) * 1995-04-11 1997-02-12 迪维安公司 Apparatus and method for suppression of electromagnetic interference
CN1244104A (en) * 1997-01-20 2000-02-09 卡佩迭姆保健有限社团 Apparatus and system for the telematic control of physiological parameters of patients
CN1722030A (en) * 2004-07-15 2006-01-18 株式会社日立制作所 Vehicle control system
CN201015590Y (en) * 2007-03-28 2008-02-06 李楚雅 Bloodstream storing mark real time continuous measurement system
US9122711B1 (en) * 2012-05-24 2015-09-01 Symantec Corporation Simplified system backup protection and recovery
CN104035893A (en) * 2014-06-30 2014-09-10 浪潮(北京)电子信息产业有限公司 Method for data storage during abnormal power down of computer

Also Published As

Publication number Publication date
CN110879766A (en) 2020-03-13
CN110825566A (en) 2020-02-21
CN109460324B (en) 2019-12-17
CN209357045U (en) 2019-09-06
CN110825566B (en) 2020-12-01
CN109460324A (en) 2019-03-12

Similar Documents

Publication Publication Date Title
CN110879766B (en) Host recovery system
US11633156B2 (en) Retrospective retrofitting method to generate a continuous glucose concentration profile by exploiting continuous glucose monitoring sensor data and blood glucose measurements
KR102251191B1 (en) Methods for continuous glucose monitoring
US8112240B2 (en) Method and apparatus for providing leak detection in data monitoring and management systems
US9715577B2 (en) Patient identification disambiguation systems and methods
CN102265330A (en) Methods and devices for mitigating ESD events
US20120046562A1 (en) Reconfirmation of ecg-assisted catheter tip placement
CN110455892A (en) Application of the electrochemical impedance spectroscopy in sensing system, equipment and associated method
US20110246234A1 (en) Patient matching
US10905381B2 (en) Blood pressure correction information generating device, blood pressure measurement device and blood pressure correction information generating method
US6265869B1 (en) Method of detecting thermal asperity of magnetic storage device and circuit thereof
KR102346791B1 (en) Method for calculating sensitivity of sensor
EP2696199A1 (en) Electrochemical test strip reading apparatus and method
JP5881630B2 (en) Endoscope leakage inspection device, endoscope leakage inspection method
US10905364B2 (en) Analyte level calibration using baseline analyte level
JP2019096200A (en) Rewrite confirmation device, method for confirming rewrite, and rewrite confirmation program
CN109388217B (en) Method, device and system for determining duration of unpowered hard disk
US20220015670A1 (en) Detecting reinsertion of a continuous glucose monitoring sensor
JP2011248654A (en) Information processing method
US20220015671A1 (en) Tracking insertion and removal times of a continuous glucose monitoring sensor
CN109745024B (en) Blood detection system
JP2013088425A (en) Time correction system for time sequential data, method and program
CN116558705A (en) Pressure detection method of infusion pipeline, infusion device and storage medium
CN111684376A (en) Sequence data analysis device, sequence data analysis method, and sequence data analysis program
JP2007143644A (en) Medical image information management system

Legal Events

Date Code Title Description
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP01 Change in the name or title of a patent holder

Address after: 518000 area E, 3rd floor, building 3, Tingwei Industrial Park, No.6 Liufang Road, Xin'an street, Shenzhen City, Guangdong Province

Patentee after: Shenzhen Beixin Life Technology Co.,Ltd.

Address before: 518000 area E, 3rd floor, building 3, Tingwei Industrial Park, No.6 Liufang Road, Xin'an street, Shenzhen City, Guangdong Province

Patentee before: INSIGHT LIFETECH Co.,Ltd. (SHENZHEN )

CP01 Change in the name or title of a patent holder