CN117771460A - Remote monitoring method and system for portable hemodialysis equipment - Google Patents
Remote monitoring method and system for portable hemodialysis equipment Download PDFInfo
- Publication number
- CN117771460A CN117771460A CN202410212999.XA CN202410212999A CN117771460A CN 117771460 A CN117771460 A CN 117771460A CN 202410212999 A CN202410212999 A CN 202410212999A CN 117771460 A CN117771460 A CN 117771460A
- Authority
- CN
- China
- Prior art keywords
- data packet
- value
- type
- size
- array
- 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.)
- Granted
Links
- 238000001631 haemodialysis Methods 0.000 title claims abstract description 69
- 230000000322 hemodialysis Effects 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000012544 monitoring process Methods 0.000 title claims abstract description 20
- 230000002159 abnormal effect Effects 0.000 claims abstract description 49
- 238000000502 dialysis Methods 0.000 claims abstract description 23
- 238000003491 array Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 6
- 239000003550 marker Substances 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 abstract description 4
- 238000000060 site-specific infrared dichroism spectroscopy Methods 0.000 description 7
- 210000004369 blood Anatomy 0.000 description 5
- 239000008280 blood Substances 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 2
- DDRJAANPRJIHGJ-UHFFFAOYSA-N creatinine Chemical compound CN1CC(=O)NC1=N DDRJAANPRJIHGJ-UHFFFAOYSA-N 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003792 electrolyte Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000004872 arterial blood pressure Effects 0.000 description 1
- 210000000601 blood cell Anatomy 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 239000004202 carbamide Substances 0.000 description 1
- 229940109239 creatinine Drugs 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 230000003907 kidney function Effects 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000011269 treatment regimen Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Abstract
The invention belongs to the field of remote monitoring, and particularly relates to a remote monitoring method and a remote monitoring system for portable hemodialysis equipment, which are used for acquiring the received signal strength and a used channel of Wi-Fi signals in a Wi-Fi module on the portable hemodialysis equipment, and determining the size of a preset data packet according to the signal strength and the used channel; in the dialysis process, determining whether a flag bit fed back by the server is true, and if true, adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size; if not, determining the type of the abnormal value when the abnormal value occurs in the dialysis process, and taking the preset data packet size as the size of the data packet of the type of the abnormal value in a preset time period; and determining whether to send out early warning information based on the received operation parameters and physiological parameters. The invention can prevent the interference of data transmission and improve the automation degree of monitoring.
Description
Technical Field
The invention relates to the field of remote monitoring, in particular to a remote monitoring method and a remote monitoring system for portable hemodialysis equipment.
Background
Hemodialysis machines are devices that draw a patient's blood out of the body, purify it by an artificial kidney (dialyzer) and then return the purified blood to the body, wherein the dialyzer consists of a set of semipermeable membranes that allow the passage of water, electrolytes and small molecular substances, but prevent the passage of proteins and blood cells. The hemodialysis machine helps to remove urea, creatinine and other waste and excess water from the blood by simulating kidney function, and also helps to maintain electrolyte balance in the blood and to maintain the blood at a proper pH. The hemodialysis requires frequent arrival and departure of patients in hospitals, and the portable household hemodialysis machine has the characteristics of portability, capability of performing home dialysis and the like, and brings great convenience to the patients. Hemodialysis is a specialized task, and it is necessary to remotely monitor portable hemodialysis equipment, which is helpful to ensure user safety and provide targeted comments, for example, medical professionals can track the dialysis process in real time, discover any potential problems or anomalies in time, and doctors can adjust dialysis plans and treatment strategies according to data obtained by remote monitoring, so as to better meet personal needs of patients, etc. But how to remotely monitor the dialysis process is a key to ensuring the safety of dialysis.
Disclosure of Invention
In order to solve the above problems, the present invention provides a remote monitoring method for a portable hemodialysis apparatus, the method comprising the steps of:
acquiring operation parameters of portable hemodialysis equipment and physiological parameters of a user, acquiring the received signal strength and a used channel of Wi-Fi signals in a Wi-Fi module on the portable hemodialysis equipment, and determining the size of a preset data packet according to the signal strength and the used channel; putting the value corresponding to the operation parameter into a first type data packet, and putting the value corresponding to the physiological parameter into a second type data packet;
in the dialysis process, determining whether a flag bit fed back by the server is true, and if true, adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size; if not, determining the type of the abnormal value when the abnormal value occurs in the dialysis process, and taking the preset data packet size as the size of the data packet of the type of the abnormal value in a preset time period;
the server end determines whether to send out early warning information and the feedback based on the received operation parameters and physiological parameters.
Preferably, the determining the preset data packet size according to the signal strength and the used channel specifically includes:
judging whether the used channel is a preset channel, if so, acquiring a first weight corresponding to the preset channel, otherwise, acquiring a second weight;
and calculating to obtain a first value by using the determined weight and signal strength corresponding to the channel, and determining the size of the preset data packet according to the first value.
Preferably, the determining the preset data packet size according to the signal strength and the used channel specifically includes:
establishing a corresponding relation between a channel and a weight, calculating the congestion degree of the used channel, determining the weight according to the corresponding relation, and correcting the congestion degree by adopting the weight;
and determining the congestion degree after correction of the used channel, judging the section where the congestion degree is located, and determining the preset data packet size according to the corresponding relation between the section and the data packet size.
Preferably, the adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size specifically includes:
analyzing feedback of a server to obtain a time interval, a type and a data packet adjustment parameter, and increasing the size of a data packet by taking the data packet adjustment parameter as a step length at intervals of the time for the data packet which is different from the type; for the data packet with the same type, calculating the product of the time interval and the data packet adjustment parameter, if the preset data packet is smaller than a first threshold value and the product is smaller than a second threshold value, increasing the data packet size by taking the data packet adjustment parameter as a step length every M time intervals, otherwise, increasing the data packet size by taking the data packet adjustment parameter as a step length every N time intervals; m is more than N and is more than or equal to 2, and M and N are positive integers.
Preferably, the server end determines whether to send out early warning information and the feedback based on the received operation parameters and physiological parameters, specifically:
for the operation parameters, acquiring an operation interval of each operation parameter, judging whether the operation parameters are in the operation interval corresponding to the operation parameters, if so, not giving an early warning, otherwise, giving early warning information to the medical care terminal and the portable hemodialysis equipment, giving feedback information to the portable hemodialysis equipment, and setting the flag bit of the feedback of the server to be true;
for physiological parameters, setting different sliding distances, sliding windows and reference arrays for different physiological parameters, acquiring the physiological parameters according to the sliding window size to form a numerical array of the physiological parameters, sliding the numerical array on the reference array by the sliding distances, and calculating correlation coefficients of the numerical array and the parameter array in the window after each sliding to obtain a first correlation coefficient set; normalizing the reference value and the value array, sliding the normalized value array on the normalized parameter array by the sliding distance, and calculating the correlation coefficient between the normalized value array after each sliding and the normalized reference array in the window to obtain a second correlation value set; judging whether the physiological parameters are abnormal or not according to the first correlation coefficient set and the second correlation coefficient set, if so, sending early warning information to the medical care terminal and the portable hemodialysis equipment, sending feedback information to the portable hemodialysis equipment, and setting the marker bit of the feedback of the server to be true.
Preferably, the determining whether the physiological parameter is abnormal according to the first correlation coefficient set and the second correlation coefficient set specifically includes:
obtaining the maximum value in the first correlation coefficient set, judging whether the maximum value is smaller than a third threshold value, and if so, judging that the physiological parameter is abnormal; and obtaining the maximum value in the second phase relation number set, judging whether the maximum value is smaller than a fourth threshold value, and if so, judging that the body parameters are abnormal.
In addition, the invention also provides a remote monitoring system of the portable hemodialysis equipment, which comprises the following units:
the signal acquisition unit is used for acquiring the operation parameters of the portable hemodialysis equipment and the physiological parameters of the user, acquiring the received signal strength and the used channel of the Wi-Fi signal in the Wi-Fi module on the portable hemodialysis equipment, and determining the size of a preset data packet according to the signal strength and the used channel; putting the value corresponding to the operation parameter into a first type data packet, and putting the value corresponding to the physiological parameter into a second type data packet;
the data acquisition unit is used for determining whether the flag bit fed back by the server is true in the dialysis process, and if true, adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size; if not, determining the type of the abnormal value when the abnormal value occurs in the dialysis process, and taking the preset data packet size as the size of the data packet of the type of the abnormal value in a preset time period;
and the early warning unit is used for determining whether to send out early warning information and the feedback or not by the server end based on the received operation parameters and physiological parameters.
Preferably, the determining the preset data packet size according to the signal strength and the used channel specifically includes:
judging whether the used channel is a preset channel, if so, acquiring a first weight corresponding to the preset channel, otherwise, acquiring a second weight;
and calculating to obtain a first value by using the determined weight and signal strength corresponding to the channel, and determining the size of the preset data packet according to the first value.
Preferably, the determining the preset data packet size according to the signal strength and the used channel specifically includes:
establishing a corresponding relation between a channel and a weight, calculating the congestion degree of the used channel, determining the weight according to the corresponding relation, and correcting the congestion degree by adopting the weight;
and determining the congestion degree after correction of the used channel, judging the section where the congestion degree is located, and determining the preset data packet size according to the corresponding relation between the section and the data packet size.
Preferably, the adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size specifically includes:
analyzing feedback of a server to obtain a time interval, a type and a data packet adjustment parameter, and increasing the size of a data packet by taking the data packet adjustment parameter as a step length at intervals of the time for the data packet which is different from the type; for the data packet with the same type, calculating the product of the time interval and the data packet adjustment parameter, if the preset data packet is smaller than a first threshold value and the product is smaller than a second threshold value, increasing the data packet size by taking the data packet adjustment parameter as a step length every M time intervals, otherwise, increasing the data packet size by taking the data packet adjustment parameter as a step length every N time intervals; m is more than N and is more than or equal to 2, and M and N are positive integers.
Preferably, the server end determines whether to send out early warning information and the feedback based on the received operation parameters and physiological parameters, specifically:
for the operation parameters, acquiring an operation interval of each operation parameter, judging whether the operation parameters are in the operation interval corresponding to the operation parameters, if so, not giving an early warning, otherwise, giving early warning information to the medical care terminal and the portable hemodialysis equipment, giving feedback information to the portable hemodialysis equipment, and setting the flag bit of the feedback of the server to be true;
for physiological parameters, setting different sliding distances, sliding windows and reference arrays for different physiological parameters, acquiring the physiological parameters according to the sliding window size to form a numerical array of the physiological parameters, sliding the numerical array on the reference array by the sliding distances, and calculating correlation coefficients of the numerical array and the parameter array in the window after each sliding to obtain a first correlation coefficient set; normalizing the reference value and the value array, sliding the normalized value array on the normalized parameter array by the sliding distance, and calculating the correlation coefficient between the normalized value array after each sliding and the normalized reference array in the window to obtain a second correlation value set; judging whether the physiological parameters are abnormal or not according to the first correlation coefficient set and the second correlation coefficient set, if so, sending early warning information to the medical care terminal and the portable hemodialysis equipment, sending feedback information to the portable hemodialysis equipment, and setting the marker bit of the feedback of the server to be true.
Preferably, the determining whether the physiological parameter is abnormal according to the first correlation coefficient set and the second correlation coefficient set specifically includes:
obtaining the maximum value in the first correlation coefficient set, judging whether the maximum value is smaller than a third threshold value, and if so, judging that the physiological parameter is abnormal; and obtaining the maximum value in the second phase relation number set, judging whether the maximum value is smaller than a fourth threshold value, and if so, judging that the body parameters are abnormal.
Finally, the invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as described above.
According to the portable hemodialysis equipment remote monitoring method, wi-Fi is adopted to collect data of the portable hemodialysis equipment, and the size of a data packet can be adjusted according to the Wi-Fi network condition, so that interference of household electronic equipment and household appliances on a data transmission process is effectively prevented; in addition, the invention can automatically monitor the acquired data, judge whether the physiological parameters are abnormal or not through correlation calculation, and effectively improve the degree of automation of monitoring.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a first embodiment;
FIG. 2 is a network architecture diagram of the present invention;
FIG. 3 is a schematic view of a sliding window;
fig. 4 is a schematic structural diagram of a second module according to an embodiment of the invention.
Detailed Description
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In a first embodiment, the present invention provides a remote monitoring method for a portable hemodialysis apparatus, as shown in fig. 1, the method includes the following steps:
s1, acquiring operation parameters of portable hemodialysis equipment and physiological parameters of a user, acquiring received signal strength and a used channel of Wi-Fi signals in a Wi-Fi module on the portable hemodialysis equipment, and determining a preset data packet size according to the signal strength and the used channel; putting the value corresponding to the operation parameter into a first type data packet, and putting the value corresponding to the physiological parameter into a second type data packet;
the portable hemodialysis equipment at least comprises a microprocessor, a memory, a Wi-Fi module and a display module, when a user uses the portable hemodialysis equipment, wi-Fi is configured through the display module, and the collected operation parameters of the portable hemodialysis equipment and physiological parameters of the user are sent to the server through the Wi-Fi module, wherein the operation parameters at least comprise voltage, current, temperature, microprocessor operation state, dialysate residual quantity, transmembrane pressure and the like, and the physiological parameters at least comprise arterial pressure, venous pressure, dialysate flow, effective blood flow and the like. The operation parameters focus on the monitoring of the operation state of the device, the physiological parameters focus on the monitoring of the relevant indexes of the body of the user, and the classification mode is not unique, and can be set according to the needs, for example, the dialysate flow rate is used as the operation parameters.
Because Wi-Fi networks are numerous, and electrical equipment and electronic equipment are also very common, interference can be generated to Wi-Fi signals, and hemodialysis is directly related to life, so that the signal quality of portable dialysis equipment needs to be ensured. Based on the above, in the invention, the received signal strength (RSSI, received Signal Strength Indication) of Wi-Fi signals and used channels are obtained, wherein the Wi-Fi channels have 13 channels, each channel occupies a certain frequency band, and as a result, adjacent frequency bands are partially overlapped, and three channels 1, 6 and 11 are not overlapped, and the interference is least. The size of the data packet also has an effect on data transmission, and the larger data packet improves the data throughput, but under the condition of poor network environment, the larger data packet is lost, which means more data is lost; the small data contains a smaller amount of data, and can improve reliability in a poor network environment, but the data throughput is limited. The data packet is a data unit transmitted in a network layer, and includes a packet header and a payload (payload), where the payload is data to be actually transmitted, for example, an acquired parameter, and the present invention determines a preset data packet size according to a signal strength and a used channel, and in a specific embodiment, the determining the preset data packet size according to the signal strength and the used channel specifically includes:
judging whether the used channel is a preset channel, if so, acquiring a first weight corresponding to the preset channel, otherwise, acquiring a second weight;
and calculating to obtain a first value by using the determined weight and signal strength corresponding to the channel, and determining the size of the preset data packet according to the first value.
In a specific embodiment, the preset channels are channels 1, 6 and 11, if the used channel is a preset channel, a corresponding first weight is obtained, in one example, the first weight is a value smaller than 1, for example, 0.8, the second weight is a value equal to or greater than 1, for example, 1.2 or 1.3, then the product of the weight corresponding to the channel and the signal strength is taken as a first value, the larger the first value is, the larger the corresponding preset data packet size is, for example, if the signal strength is 40dBm, the first value is 32, and then the preset data packet size is determined according to the first value, specifically, the preset data packet size is determined according to the interval where the first value is located.
In another embodiment, the determining the preset data packet size according to the signal strength and the used channel is specifically:
establishing a corresponding relation between a channel and a weight, calculating the congestion degree of the used channel, determining the weight according to the corresponding relation, and correcting the congestion degree by adopting the weight;
and determining the congestion degree after correction of the used channel, judging the section where the congestion degree is located, and determining the preset data packet size according to the corresponding relation between the section and the data packet size.
One calculation mode of the crowding degree of the Wi-Fi channel is to obtain the channel, SSID and RSSI of Wi-Fi used by the portable hemodialysis equipment, obtain RSSI of other SSID using the same channel, calculate the ratio of RSSI corresponding to SSID used by the portable hemodialysis equipment to RSSI of other SSID using the same channel, and accumulate the ratios corresponding to all other SSIDs to obtain the crowding degree;
the weight of the used channel is obtained according to the correspondence between the channel and the weight, and the congestion degree is corrected according to the weight, for example, the weight corresponding to the channel 1, 6, 11 is smaller, the weight corresponding to the other channel is larger, in one example, the weight corresponding to the channel 1, 6, 11 is a value smaller than 1, for example, 0.8, the weight corresponding to the other channel is a value equal to or larger than 1, for example, 1.2, if the channel 1 is used, the congestion degree is 1.2, the corrected congestion degree is 0.96, and if the channel 2 is used, the congestion degree is 1.2, the corrected congestion degree is 1.44.
In another embodiment, the congestion level of the channel is the number of other SSIDs of the channel used by the portable hemodialysis apparatus, i.e. the number of SSIDs of the same channel currently being used as the portable hemodialysis apparatus.
The operation parameters reflect the operation condition of the portable hemodialysis equipment, the physiological parameters reflect the physical condition of a user, the two are mutually independent and related, and in order to prevent simultaneous data loss caused by putting the two into one data packet, the invention puts the value corresponding to the operation parameters into a first data packet, puts the value corresponding to the physiological parameters into a second data packet, namely puts the operation parameters into a single data packet, the payload in the data packet is the operation parameter, and the data packet is marked as the first data packet; the body parameters are put into separate packets, the payload of which is the body parameter, and such packets are noted as second class packets.
S2, in the dialysis process, determining whether a flag bit fed back by the server is true, and if true, adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size; if not, determining the type of the abnormal value when the abnormal value occurs in the dialysis process, and taking the preset data packet size as the size of the data packet of the type of the abnormal value in a preset time period;
in step S1, the size of the preset data packet is determined to be a reference value, if the preset data packet is large, the network state is indicated to be better, otherwise, the network state is indicated to be not better, and the reference value and the states of the equipment and the user in the dialysis process are utilized to adjust the actual data packet size. Specifically, in the dialysis process, whether the feedback of the server is the true flag bit is determined, if true, the server is informed that the feedback is performed and the feedback is effective, and the sizes of the first type data packet and the second type data packet are adjusted according to the feedback of the server and the preset data packet size. In a specific embodiment, the adjusting the sizes of the first type of data packet and the second type of data packet according to the feedback of the server and the preset data packet size specifically includes:
analyzing feedback of a server to obtain a time interval, a type and a data packet adjustment parameter, and increasing the size of a data packet by taking the data packet adjustment parameter as a step length at intervals of the time for the data packet which is different from the type; for the data packet with the same type, calculating the product of the time interval and the data packet adjustment parameter, if the preset data packet is smaller than a first threshold value and the product is smaller than a second threshold value, increasing the data packet size by taking the data packet adjustment parameter as a step length every M time intervals, otherwise, increasing the data packet size by taking the data packet adjustment parameter as a step length every N time intervals; m is more than N and is more than or equal to 2, and M and N are positive integers.
The type is a first type data packet or a second type data packet, and for the data packets different from the type, the size of the data packet to be sent is adjusted every time interval, for example, the time interval is 2s, the type is the first type data packet, the data packet adjustment parameter is 4, and the size of the first type data packet is increased by 4 bytes every 2 s. The size of the first type of data packet at the initial time is the preset data packet size.
For the data packet of the type, calculating the product of the time interval and the data packet adjustment parameter, if the result of the product is small, the higher the real-time requirement of the surface acquisition of the data of the type is, and the smaller the preset data packet is, the worse the network state of the surface Wi-Fi is, so that the increasing speed of the data packet is required to be slowed down, the data can be transmitted in a small data packet mode, and the high reliability of the data transmission is realized. The network architecture of the present invention is shown in fig. 2.
For example, if the server finds that the physiological parameter is more likely to be abnormal, the type is set to the physiological parameter or the second type data packet, and if the preset data packet is smaller and the product is smaller, the size of the second type data packet is increased at a smaller speed. And for the first type of data packets, starting with a preset data packet size, increasing the size of the first type of data packets at each time interval.
In another embodiment, the feedback of the server is analyzed to obtain a first value and a second value, then a first type of data packet size is obtained according to the first value and a preset data packet size, a second type of data packet size is obtained according to the second value and the preset data packet size, and in the validity period of the feedback, the first type of data packet sends data in the first type of data packet size, and the second type of data packet sends data in the second type of data packet size.
Wherein the abnormal value refers to that the portable hemodialysis device itself finds data abnormal, and because the portable hemodialysis device has limited resources, in a specific embodiment, the abnormal value is determined only according to the interval, for example, the current exceeds the maximum value of the current area, and the current abnormality is judged.
S3, the server end determines whether to send out early warning information and the feedback based on the received operation parameters and physiological parameters.
The operating parameters of the portable hemodialysis machine and the physiological parameters of the user reflect the information of the machine and personnel of the whole dialysis process, and in a specific embodiment S3 is specifically:
for the operation parameters, acquiring an operation interval of each operation parameter, judging whether the operation parameters are in the operation interval corresponding to the operation parameters, if so, not giving an early warning, otherwise, giving early warning information to the medical care terminal and the portable hemodialysis equipment, giving feedback information to the portable hemodialysis equipment, and setting the flag bit of the feedback of the server to be true;
for physiological parameters, setting different sliding distances, sliding windows and reference arrays for different physiological parameters, acquiring the physiological parameters according to the sliding window size to form a numerical array of the physiological parameters, sliding the numerical array on the reference array by the sliding distances, and calculating correlation coefficients of the numerical array and the parameter array in the window after each sliding to obtain a first correlation coefficient set; normalizing the reference value and the value array, sliding the normalized value array on the normalized parameter array by the sliding distance, and calculating the correlation coefficient between the normalized value array after each sliding and the normalized reference array in the window to obtain a second correlation value set; judging whether the physiological parameters are abnormal or not according to the first correlation coefficient set and the second correlation coefficient set, if so, sending early warning information to the medical care terminal and the portable hemodialysis equipment, sending feedback information to the portable hemodialysis equipment, and setting the marker bit of the feedback of the server to be true.
Acquiring a piece of data from the acquired physiological parameters, wherein the piece of data is obtained from the portable hemodialysis equipment, the piece of data is taken as a sliding window, the sliding is performed on a reference array, the sliding distance is obtained by sliding each time, the reference array is an array longer than the sliding window and represents physiological parameter values of a user under normal conditions, the sliding window slides on the reference array as shown in fig. 3, the sliding window slides to a position as shown in a position 1 in fig. 3 for a certain time, the similarity between the value array and the reference number in the window is calculated, the sliding is performed to a position as shown in a position 2 in fig. 3 for the next time, and a similarity is obtained, so that a series of correlation coefficients are obtained in the continuous sliding process, and a first correlation coefficient set is formed. Wherein the correlation coefficient is calculated using pearson correlation coefficients.
Similarly, after normalizing the reference array and the numerical array, calculating a series of correlation coefficients by adopting the sliding mode to form a second correlation coefficient set. Wherein the first set of correlation coefficients represents similarity to the reference array and the second set of correlation coefficients represents similarity to the reference array waveform.
In a specific embodiment, the determining whether the physiological parameter is abnormal according to the first correlation coefficient set and the second correlation coefficient set specifically includes:
obtaining the maximum value in the first correlation coefficient set, judging whether the maximum value is smaller than a third threshold value, and if so, judging that the physiological parameter is abnormal; and obtaining the maximum value in the second phase relation number set, judging whether the maximum value is smaller than a fourth threshold value, and if so, judging that the body parameters are abnormal.
The maximum value of the first correlation coefficient set represents the overall most relevant degree of the currently acquired parameter and the reference array, the maximum value of the second correlation coefficient set represents the waveform most relevant degree of the currently acquired parameter and the reference array, and if only the maximum value of any one of the two is smaller, the difference between the surface and the reference array is larger, so that the abnormal condition is indicated.
When an abnormal condition exists, if the difference between the maximum value in the first correlation coefficient set and the third threshold value is larger, or the difference between the maximum value in the second correlation coefficient set and the fourth threshold value is larger, the time interval fed back by the server item portable hemodialysis equipment is larger, and the data packet adjustment parameter is smaller.
In a second embodiment, the present invention further provides a remote monitoring system for a portable hemodialysis apparatus, as shown in fig. 4, the system includes the following units:
the signal acquisition unit 101 is configured to acquire an operation parameter of the portable hemodialysis device and a physiological parameter of a user, acquire a received signal strength and a used channel of a Wi-Fi signal in a Wi-Fi module on the portable hemodialysis device, and determine a preset data packet size according to the signal strength and the used channel; putting the value corresponding to the operation parameter into a first type data packet, and putting the value corresponding to the physiological parameter into a second type data packet;
the data acquisition unit 102 is configured to determine whether a flag bit fed back by the server is true in a dialysis process, and if true, adjust sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size; if not, determining the type of the abnormal value when the abnormal value occurs in the dialysis process, and taking the preset data packet size as the size of the data packet of the type of the abnormal value in a preset time period;
and the early warning unit 103, wherein the server end determines whether to send out early warning information and the feedback based on the received operation parameters and physiological parameters.
Preferably, the determining the preset data packet size according to the signal strength and the used channel specifically includes:
judging whether the used channel is a preset channel, if so, acquiring a first weight corresponding to the preset channel, otherwise, acquiring a second weight;
and calculating to obtain a first value by using the determined weight and signal strength corresponding to the channel, and determining the size of the preset data packet according to the first value.
Preferably, the determining the preset data packet size according to the signal strength and the used channel specifically includes:
establishing a corresponding relation between a channel and a weight, calculating the congestion degree of the used channel, determining the weight according to the corresponding relation, and correcting the congestion degree by adopting the weight;
and determining the congestion degree after correction of the used channel, judging the section where the congestion degree is located, and determining the preset data packet size according to the corresponding relation between the section and the data packet size.
Preferably, the adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size specifically includes:
analyzing feedback of a server to obtain a time interval, a type and a data packet adjustment parameter, and increasing the size of a data packet by taking the data packet adjustment parameter as a step length at intervals of the time for the data packet which is different from the type; for the data packet with the same type, calculating the product of the time interval and the data packet adjustment parameter, if the preset data packet is smaller than a first threshold value and the product is smaller than a second threshold value, increasing the data packet size by taking the data packet adjustment parameter as a step length every M time intervals, otherwise, increasing the data packet size by taking the data packet adjustment parameter as a step length every N time intervals; m is more than N and is more than or equal to 2, and M and N are positive integers.
Preferably, the server end determines whether to send out early warning information and the feedback based on the received operation parameters and physiological parameters, specifically:
for the operation parameters, acquiring an operation interval of each operation parameter, judging whether the operation parameters are in the operation interval corresponding to the operation parameters, if so, not giving an early warning, otherwise, giving early warning information to the medical care terminal and the portable hemodialysis equipment, giving feedback information to the portable hemodialysis equipment, and setting the flag bit of the feedback of the server to be true;
for physiological parameters, setting different sliding distances, sliding windows and reference arrays for different physiological parameters, acquiring the physiological parameters according to the sliding window size to form a numerical array of the physiological parameters, sliding the numerical array on the reference array by the sliding distances, and calculating correlation coefficients of the numerical array and the parameter array in the window after each sliding to obtain a first correlation coefficient set; normalizing the reference value and the value array, sliding the normalized value array on the normalized parameter array by the sliding distance, and calculating the correlation coefficient between the normalized value array after each sliding and the normalized reference array in the window to obtain a second correlation value set; judging whether the physiological parameters are abnormal or not according to the first correlation coefficient set and the second correlation coefficient set, if so, sending early warning information to the medical care terminal and the portable hemodialysis equipment, sending feedback information to the portable hemodialysis equipment, and setting the marker bit of the feedback of the server to be true.
Preferably, the determining whether the physiological parameter is abnormal according to the first correlation coefficient set and the second correlation coefficient set specifically includes:
obtaining the maximum value in the first correlation coefficient set, judging whether the maximum value is smaller than a third threshold value, and if so, judging that the physiological parameter is abnormal; and obtaining the maximum value in the second phase relation number set, judging whether the maximum value is smaller than a fourth threshold value, and if so, judging that the body parameters are abnormal.
In a third embodiment, the present invention further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the method according to the first embodiment.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by adding necessary general purpose hardware platforms, or may be implemented by a combination of hardware and software. Based on such understanding, the foregoing aspects, in essence and portions contributing to the art, may be embodied in the form of a computer program product, which may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for remotely monitoring a portable hemodialysis machine, the method comprising the steps of:
acquiring operation parameters of portable hemodialysis equipment and physiological parameters of a user, acquiring the received signal strength and a used channel of Wi-Fi signals in a Wi-Fi module on the portable hemodialysis equipment, and determining the size of a preset data packet according to the signal strength and the used channel; putting the value corresponding to the operation parameter into a first type data packet, and putting the value corresponding to the physiological parameter into a second type data packet;
in the dialysis process, determining whether a flag bit fed back by the server is true, and if true, adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size; if not, determining the type of the abnormal value when the abnormal value occurs in the dialysis process, and taking the preset data packet size as the size of the data packet of the type of the abnormal value in a preset time period;
the server end determines whether to send out early warning information and the feedback based on the received operation parameters and physiological parameters.
2. The method according to claim 1, wherein the predetermined packet size is determined according to the signal strength and the channel used, in particular:
judging whether the used channel is a preset channel, if so, acquiring a first weight corresponding to the preset channel, otherwise, acquiring a second weight;
and calculating to obtain a first value by using the determined weight and signal strength corresponding to the channel, and determining the size of the preset data packet according to the first value.
3. The method according to claim 1, wherein the predetermined packet size is determined according to the signal strength and the channel used, in particular:
establishing a corresponding relation between a channel and a weight, calculating the congestion degree of the used channel, determining the weight according to the corresponding relation, and correcting the congestion degree by adopting the weight;
and determining the congestion degree after correction of the used channel, judging the section where the congestion degree is located, and determining the preset data packet size according to the corresponding relation between the section and the data packet size.
4. The method of claim 1, wherein the adjusting the first type of data packet and the second type of data packet according to the feedback from the server and the preset data packet size is specifically:
analyzing feedback of a server to obtain a time interval, a type and a data packet adjustment parameter, and increasing the size of a data packet by taking the data packet adjustment parameter as a step length at intervals of the time for the data packet which is different from the type; for the data packet with the same type, calculating the product of the time interval and the data packet adjustment parameter, if the preset data packet is smaller than a first threshold value and the product is smaller than a second threshold value, increasing the data packet size by taking the data packet adjustment parameter as a step length every M time intervals, otherwise, increasing the data packet size by taking the data packet adjustment parameter as a step length every N time intervals; m is more than N and is more than or equal to 2, and M and N are positive integers.
5. The method according to claim 1, wherein the server-side determines whether to send out the pre-warning information and the feedback based on the received operating parameters and physiological parameters, in particular:
for the operation parameters, acquiring an operation interval of each operation parameter, judging whether the operation parameters are in the operation interval corresponding to the operation parameters, if so, not giving an early warning, otherwise, giving early warning information to the medical care terminal and the portable hemodialysis equipment, giving feedback information to the portable hemodialysis equipment, and setting the flag bit of the feedback of the server to be true;
for physiological parameters, setting different sliding distances, sliding windows and reference arrays for different physiological parameters, acquiring the physiological parameters according to the sliding window size to form a numerical array of the physiological parameters, sliding the numerical array on the reference array by the sliding distances, and calculating correlation coefficients of the numerical array and the parameter array in the window after each sliding to obtain a first correlation coefficient set; normalizing the reference value and the value array, sliding the normalized value array on the normalized parameter array by the sliding distance, and calculating the correlation coefficient between the normalized value array after each sliding and the normalized reference array in the window to obtain a second correlation value set; judging whether the physiological parameters are abnormal or not according to the first correlation coefficient set and the second correlation coefficient set, if so, sending early warning information to the medical care terminal and the portable hemodialysis equipment, sending feedback information to the portable hemodialysis equipment, and setting the marker bit of the feedback of the server to be true.
6. The method of claim 5, wherein determining whether the physiological parameter is abnormal based on the first set of correlation coefficients and the second set of correlation coefficients is specifically:
obtaining the maximum value in the first correlation coefficient set, judging whether the maximum value is smaller than a third threshold value, and if so, judging that the physiological parameter is abnormal; and obtaining the maximum value in the second phase relation number set, judging whether the maximum value is smaller than a fourth threshold value, and if so, judging that the body parameters are abnormal.
7. A portable hemodialysis machine remote monitoring system, the system comprising the following units:
the signal acquisition unit is used for acquiring the operation parameters of the portable hemodialysis equipment and the physiological parameters of the user, acquiring the received signal strength and the used channel of the Wi-Fi signal in the Wi-Fi module on the portable hemodialysis equipment, and determining the size of a preset data packet according to the signal strength and the used channel; putting the value corresponding to the operation parameter into a first type data packet, and putting the value corresponding to the physiological parameter into a second type data packet;
the data acquisition unit is used for determining whether the flag bit fed back by the server is true in the dialysis process, and if true, adjusting the sizes of the first type data packet and the second type data packet according to the feedback of the server and the preset data packet size; if not, determining the type of the abnormal value when the abnormal value occurs in the dialysis process, and taking the preset data packet size as the size of the data packet of the type of the abnormal value in a preset time period;
and the early warning unit is used for determining whether to send out early warning information and the feedback or not by the server end based on the received operation parameters and physiological parameters.
8. The system of claim 7, wherein the adjusting the first type of data packet and the second type of data packet according to the feedback from the server and the preset data packet size is specifically:
analyzing feedback of a server to obtain a time interval, a type and a data packet adjustment parameter, and increasing the size of a data packet by taking the data packet adjustment parameter as a step length at intervals of the time for the data packet which is different from the type; for the data packet with the same type, calculating the product of the time interval and the data packet adjustment parameter, if the preset data packet is smaller than a first threshold value and the product is smaller than a second threshold value, increasing the data packet size by taking the data packet adjustment parameter as a step length every M time intervals, otherwise, increasing the data packet size by taking the data packet adjustment parameter as a step length every N time intervals; m is more than N and is more than or equal to 2, and M and N are positive integers.
9. The system of claim 7, wherein the server-side determines whether to send out the pre-warning information and the feedback based on the received operating parameters and physiological parameters, in particular:
for the operation parameters, acquiring an operation interval of each operation parameter, judging whether the operation parameters are in the operation interval corresponding to the operation parameters, if so, not giving an early warning, otherwise, giving early warning information to the medical care terminal and the portable hemodialysis equipment, giving feedback information to the portable hemodialysis equipment, and setting the flag bit of the feedback of the server to be true;
for physiological parameters, setting different sliding distances, sliding windows and reference arrays for different physiological parameters, acquiring the physiological parameters according to the sliding window size to form a numerical array of the physiological parameters, sliding the numerical array on the reference array by the sliding distances, and calculating correlation coefficients of the numerical array and the parameter array in the window after each sliding to obtain a first correlation coefficient set; normalizing the reference value and the value array, sliding the normalized value array on the normalized parameter array by the sliding distance, and calculating the correlation coefficient between the normalized value array after each sliding and the normalized reference array in the window to obtain a second correlation value set; judging whether the physiological parameters are abnormal or not according to the first correlation coefficient set and the second correlation coefficient set, if so, sending early warning information to the medical care terminal and the portable hemodialysis equipment, sending feedback information to the portable hemodialysis equipment, and setting the marker bit of the feedback of the server to be true.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the method according to any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410212999.XA CN117771460B (en) | 2024-02-27 | 2024-02-27 | Remote monitoring method and system for portable hemodialysis equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410212999.XA CN117771460B (en) | 2024-02-27 | 2024-02-27 | Remote monitoring method and system for portable hemodialysis equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117771460A true CN117771460A (en) | 2024-03-29 |
| CN117771460B CN117771460B (en) | 2024-05-03 |
Family
ID=90402126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410212999.XA Active CN117771460B (en) | 2024-02-27 | 2024-02-27 | Remote monitoring method and system for portable hemodialysis equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117771460B (en) |
Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101797404A (en) * | 2009-12-29 | 2010-08-11 | 华南理工大学 | Remote monitoring system of peritoneal dialysis machines and monitoring method thereof |
| CN102125423A (en) * | 2010-10-13 | 2011-07-20 | 深圳市理邦精密仪器股份有限公司 | Medical monitoring method and device integrating central monitoring function |
| CN202168107U (en) * | 2011-07-14 | 2012-03-14 | 福建冰原网络科技有限公司 | Vital sign monitoring system based on wireless sensor network |
| US20130310726A1 (en) * | 2012-05-15 | 2013-11-21 | Baxter Healthcare S.A. | Home Medical Device Systems and Methods for Therapy Prescription and Tracking, Servicing and Inventory |
| CN103514357A (en) * | 2012-12-31 | 2014-01-15 | Tcl集团股份有限公司 | Remote health supervising method and supervising system thereof |
| CN104735715A (en) * | 2015-02-12 | 2015-06-24 | 中国科学技术大学苏州研究院 | Wireless multi-channel communication device and multi-channel real-time communication method |
| CN104771799A (en) * | 2015-04-16 | 2015-07-15 | 昆山韦睿医疗科技有限公司 | Peritoneal dialysis equipment and method and system for remote communication of peritoneal dialysis equipment |
| CN104969227A (en) * | 2012-12-21 | 2015-10-07 | 德卡产品有限公司 | System, method, and apparatus for electronic patient care |
| CN105228133A (en) * | 2015-07-10 | 2016-01-06 | 努比亚技术有限公司 | Multi-channel data method for down loading and system |
| CN105657804A (en) * | 2016-03-03 | 2016-06-08 | 上海大学 | Self-adaptive monitor matching anti-interference method of wireless sensor network |
| CN105978730A (en) * | 2016-06-22 | 2016-09-28 | 湖南明康中锦医疗科技发展有限公司 | Remote positioning system of respirator and use method and respirator |
| CN106650248A (en) * | 2016-12-13 | 2017-05-10 | 中国船舶重工集团公司第七六研究所 | Peritoneal dialysis remote management system and method |
| CN107073187A (en) * | 2014-10-17 | 2017-08-18 | 甘布罗伦迪亚股份公司 | The method and medical instrument of peration data are provided using medical instrument to fluid processing medical equipment |
| CN110075378A (en) * | 2019-05-08 | 2019-08-02 | 黄莉娟 | A kind of haemodialysis data information monitoring system |
| US20190365976A1 (en) * | 2019-08-07 | 2019-12-05 | Thomas Tatonetti | Intelligent adjustment of dialysis machine operations |
| CN110602080A (en) * | 2019-09-06 | 2019-12-20 | 广东宝莱特医用科技股份有限公司 | Data transmission method, system and equipment for hemodialysis machine |
| CN112470487A (en) * | 2018-07-31 | 2021-03-09 | Abb瑞士股份有限公司 | Method and apparatus for remote monitoring and diagnostics of field devices |
| CN112703561A (en) * | 2018-09-19 | 2021-04-23 | 费森尤斯医疗护理德国有限责任公司 | Safety control of dialysis equipment |
| CN112755284A (en) * | 2020-12-31 | 2021-05-07 | 复旦大学附属华山医院 | Remote dialysis monitoring system |
| WO2021160189A1 (en) * | 2020-02-14 | 2021-08-19 | 重庆邮电大学 | Csi method for recognizing human fall in wi-fi interference environment |
| CN113454731A (en) * | 2019-02-11 | 2021-09-28 | 费森尤斯医疗护理德国有限责任公司 | Treatment sharing method implemented on treatment machine |
| CN114566293A (en) * | 2022-03-01 | 2022-05-31 | 武汉聚智惠仁信息技术有限公司 | CRRT shutdown decision auxiliary system and method |
| CN114829887A (en) * | 2019-12-17 | 2022-07-29 | 费森尤斯医疗护理德国有限责任公司 | Device for measuring the volume of a liquid in a container by means of measuring emitted high-frequency radiation |
| WO2023011179A1 (en) * | 2021-08-05 | 2023-02-09 | 清华大学 | Congestion control method and apparatus |
| CN116963788A (en) * | 2021-03-30 | 2023-10-27 | 株式会社Jms | Setting advice device, dialysis device, learning device, and dialysis information system |
-
2024
- 2024-02-27 CN CN202410212999.XA patent/CN117771460B/en active Active
Patent Citations (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101797404A (en) * | 2009-12-29 | 2010-08-11 | 华南理工大学 | Remote monitoring system of peritoneal dialysis machines and monitoring method thereof |
| CN102125423A (en) * | 2010-10-13 | 2011-07-20 | 深圳市理邦精密仪器股份有限公司 | Medical monitoring method and device integrating central monitoring function |
| CN202168107U (en) * | 2011-07-14 | 2012-03-14 | 福建冰原网络科技有限公司 | Vital sign monitoring system based on wireless sensor network |
| US20130310726A1 (en) * | 2012-05-15 | 2013-11-21 | Baxter Healthcare S.A. | Home Medical Device Systems and Methods for Therapy Prescription and Tracking, Servicing and Inventory |
| CN104969227A (en) * | 2012-12-21 | 2015-10-07 | 德卡产品有限公司 | System, method, and apparatus for electronic patient care |
| CN103514357A (en) * | 2012-12-31 | 2014-01-15 | Tcl集团股份有限公司 | Remote health supervising method and supervising system thereof |
| CN107073187A (en) * | 2014-10-17 | 2017-08-18 | 甘布罗伦迪亚股份公司 | The method and medical instrument of peration data are provided using medical instrument to fluid processing medical equipment |
| CN104735715A (en) * | 2015-02-12 | 2015-06-24 | 中国科学技术大学苏州研究院 | Wireless multi-channel communication device and multi-channel real-time communication method |
| CN104771799A (en) * | 2015-04-16 | 2015-07-15 | 昆山韦睿医疗科技有限公司 | Peritoneal dialysis equipment and method and system for remote communication of peritoneal dialysis equipment |
| CN105228133A (en) * | 2015-07-10 | 2016-01-06 | 努比亚技术有限公司 | Multi-channel data method for down loading and system |
| CN105657804A (en) * | 2016-03-03 | 2016-06-08 | 上海大学 | Self-adaptive monitor matching anti-interference method of wireless sensor network |
| CN105978730A (en) * | 2016-06-22 | 2016-09-28 | 湖南明康中锦医疗科技发展有限公司 | Remote positioning system of respirator and use method and respirator |
| CN106650248A (en) * | 2016-12-13 | 2017-05-10 | 中国船舶重工集团公司第七六研究所 | Peritoneal dialysis remote management system and method |
| CN112470487A (en) * | 2018-07-31 | 2021-03-09 | Abb瑞士股份有限公司 | Method and apparatus for remote monitoring and diagnostics of field devices |
| CN112703561A (en) * | 2018-09-19 | 2021-04-23 | 费森尤斯医疗护理德国有限责任公司 | Safety control of dialysis equipment |
| CN113454731A (en) * | 2019-02-11 | 2021-09-28 | 费森尤斯医疗护理德国有限责任公司 | Treatment sharing method implemented on treatment machine |
| CN110075378A (en) * | 2019-05-08 | 2019-08-02 | 黄莉娟 | A kind of haemodialysis data information monitoring system |
| US20190365976A1 (en) * | 2019-08-07 | 2019-12-05 | Thomas Tatonetti | Intelligent adjustment of dialysis machine operations |
| CN110602080A (en) * | 2019-09-06 | 2019-12-20 | 广东宝莱特医用科技股份有限公司 | Data transmission method, system and equipment for hemodialysis machine |
| CN114829887A (en) * | 2019-12-17 | 2022-07-29 | 费森尤斯医疗护理德国有限责任公司 | Device for measuring the volume of a liquid in a container by means of measuring emitted high-frequency radiation |
| WO2021160189A1 (en) * | 2020-02-14 | 2021-08-19 | 重庆邮电大学 | Csi method for recognizing human fall in wi-fi interference environment |
| CN112755284A (en) * | 2020-12-31 | 2021-05-07 | 复旦大学附属华山医院 | Remote dialysis monitoring system |
| CN116963788A (en) * | 2021-03-30 | 2023-10-27 | 株式会社Jms | Setting advice device, dialysis device, learning device, and dialysis information system |
| WO2023011179A1 (en) * | 2021-08-05 | 2023-02-09 | 清华大学 | Congestion control method and apparatus |
| CN114566293A (en) * | 2022-03-01 | 2022-05-31 | 武汉聚智惠仁信息技术有限公司 | CRRT shutdown decision auxiliary system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117771460B (en) | 2024-05-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11464424B2 (en) | Cloud platform | |
| CN100547597C (en) | Medical information processing system and method | |
| CN110075378B (en) | Hemodialysis data information monitoring system | |
| EP3220301A1 (en) | Method and system for collecting and analysing data from health monitoring devices | |
| Albaeazanchi et al. | Identification key scheme to enhance network performance in wireless body area network | |
| CN115359868B (en) | Intelligent medical monitoring method and system based on cloud computing technology | |
| CN117771460B (en) | Remote monitoring method and system for portable hemodialysis equipment | |
| CN104068837B (en) | A kind of sign information monitoring method and system | |
| CN108992723A (en) | A kind of haemodialysis equipment and control method for kidney internal medicine | |
| CN104434312A (en) | Monitoring equipment and physiological parameter processing method and system thereof | |
| CN107317858B (en) | Health information data monitoring system | |
| CN117153336A (en) | Hemodialysis monitoring system and method based on hemodialysis machine | |
| CN110694126A (en) | Monitoring system for continuous blood purification | |
| CN114699056A (en) | Postoperative rehabilitation automatic feedback system based on intelligent monitoring terminal | |
| RU2447579C2 (en) | Method of in-process control of operating frequencies | |
| CN108449426A (en) | A kind of internet of things net controller and data center's communication means and system | |
| CN114190916B (en) | Fabric sensor-based child respiration monitoring method and system | |
| CN106940720B (en) | Multi-source information processing method and system based on healthy Internet of things | |
| CN103284690A (en) | Transmission method and device of physiological parameters and mobile health system | |
| KR102113784B1 (en) | Date management system for preventing from data loss in BLE | |
| CN114578241A (en) | Storage battery online monitoring system based on Internet of things technology | |
| KR20110121445A (en) | Method and system of processing electrocardiogram data | |
| CN112329812A (en) | Slow obstructive pulmonary acute exacerbation automatic early warning method and platform and readable storage medium | |
| CN111899862A (en) | Breathing machine parameter acquisition method, device, equipment and storage medium | |
| Lamonaca et al. | Synchronization of Wireless Sensor Networks for Biomedical Measurement Systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |