Newborn intelligent temperature control blood oxygen probe anti-scald monitoring system

Abstract

The invention discloses a newborn intelligent temperature control blood oxygen probe anti-scald monitoring system, which belongs to the technical field of medical instruments and is characterized in that the monitoring system acquires temperature data and continuous contact time data of a contact surface between a probe and skin in real time through a data acquisition module; the data processing and analyzing module receives the data and calculates an accumulated heat dose value in real time through integral operation; comparing and judging the accumulated heat dose value with a preset neonatal safety heat dose threshold value, and generating a scald early warning signal when the accumulated heat dose value reaches or exceeds the threshold value; the control execution module executes intervention operation of reducing the calorific value of the probe and triggering sound-light alarm based on the signal; therefore, the limitation that only the instantaneous temperature is monitored in the prior art is broken through, quantitative evaluation and early warning of the thermal exposure cumulative effect are achieved, and low-temperature scalds caused by long-term contact of the blood oxygen probe to newborns can be effectively prevented.

Description

Technical Field

[0001] This invention relates to the field of medical device technology, and in particular to a neonatal intelligent temperature-controlled blood oxygen probe anti-scalding monitoring system. Background Technology

[0002] In the clinical care of neonatal intensive care units, transcutaneous oxygen saturation monitoring is a crucial method for monitoring vital signs. However, the prolonged attachment of oxygen probes to the delicate skin of newborns (especially premature infants) to achieve this monitoring poses a significant risk of localized burns. The root cause is that existing oxygen probes generate heat during operation through their internal light-emitting diodes and photodetectors. When the probe is in close contact with the skin, this heat continuously accumulates at the contact interface between the probe and the skin.

[0003] Currently, the main clinical measure for preventing such burns relies on the experience of caregivers, namely, regularly and manually changing the adhesive placement of the probe. However, this method has significant limitations: First, it is a passive, fixed-time-based protection strategy that cannot respond to real-time changes in thermal risk. Newborns exhibit vastly different individual physiological conditions and sensitivities to thermal injury. A uniform replacement schedule cannot provide adequate protection for the most vulnerable individuals. Second, existing pulse oximeters only provide pulse oximetry data and simple signal quality indicators, completely lacking real-time monitoring and risk assessment capabilities for the probe-skin contact surface temperature.

[0004] Furthermore, existing safety protocols only focus on whether the instantaneous temperature exceeds a certain absolute threshold. However, medically known low-temperature burns occur precisely because heat is continuously applied to the same area, causing the cumulative heat dose to exceed the tissue's tolerance limit. This means that even if the instantaneous temperature does not exceed the limit, prolonged heat exposure can still cause severe deep tissue damage. Current technology is unable to quantify, monitor, or provide early warning of this cumulative thermal risk.

[0005] Therefore, there is an urgent need in this field for a newborn intelligent temperature-controlled blood oxygen probe anti-scalding monitoring system to solve the technical problems existing in the above-mentioned prior art. Summary of the Invention

[0006] This invention overcomes the shortcomings of the prior art and provides a newborn intelligent temperature-controlled blood oxygen probe anti-scalding monitoring system.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is: a neonatal intelligent temperature control and blood oxygen probe anti-scalding monitoring system, comprising: a data acquisition module, a data processing and analysis module, and a control execution module;

[0008] The data acquisition module acquires in real time the temperature data T between the probe and the skin contact surface from the temperature sensor integrated inside the blood oxygen probe, as well as the continuous contact time data t from the clock unit inside the monitoring system.

[0009] The data processing and analysis module receives the temperature data T and the continuous contact time data t, and calls the heat dose calculation unit to calculate the cumulative heat dose value Q in real time within time t through integration. The formula for calculating the cumulative heat dose value Q is as follows: ;in, It is the real-time temperature that changes with the continuous contact time data t; It is the preset reference value for newborn basal body temperature;

[0010] The data processing and analysis module will calculate the real-time cumulative heat dose value Q and compare it with the preset neonatal safe heat dose threshold. A comparison is made to determine whether the cumulative heat dose value Q reaches or exceeds the neonatal safe heat dose threshold. At that time, an early warning signal for burns is generated;

[0011] The control execution module receives the early warning signal of burns and performs at least one risk intervention operation.

[0012] In a preferred embodiment of the present invention, the risk intervention operation includes: sending a power adjustment command to the temperature control unit of the pulse oximeter to reduce the heat generated by the probe; activating the alarm unit of the monitoring system to issue an audible and visual alarm message to prompt medical staff to change the probe position.

[0013] In a preferred embodiment of the present invention, the process by which the data processing and analysis module calculates the cumulative heat dose value Q includes the following steps:

[0014] Step S01: The monitoring system retrieves pre-stored newborn individualized parameters from its internal memory;

[0015] Step S02: The risk mapping model built into the monitoring system dynamically adjusts the newborn safe thermal dose threshold based on the newborn's individualized parameters. And / or the aforementioned neonatal basal body temperature reference value ;

[0016] Step S03: The heat dose calculation unit uses the adjusted parameters to execute the calculation formula.

[0017] In a preferred embodiment of the present invention, the data acquisition module is further configured to acquire, in real time, the blood oxygenation signal quality indicators output by the blood oxygenation probe, the blood oxygenation signal quality indicators including the perfusion index (PI) and the signal-to-noise ratio (SNR); the data processing and analysis module performs the following steps:

[0018] Step S11: Establish a multi-dimensional risk assessment function F, inputting the cumulative heat dose value Q, the blood oxygen signal quality index, and the newborn individualized parameters, and outputting the comprehensive risk level R;

[0019] Step S12: The multi-dimensional risk assessment function F is configured as follows: when the blood oxygen signal quality index is lower than the preset signal quality threshold and the cumulative heat dose value Q is close to but has not reached the neonatal safe heat dose threshold. When this occurs, output an increased overall risk level R;

[0020] Step S13: The control execution module performs risk intervention operations according to different comprehensive risk levels R.

[0021] In a preferred embodiment of the present invention, the data acquisition module collects temperature data T at a specific sampling frequency f through the temperature sensor, and stores the continuous temperature data sequence with the corresponding timestamp in a first-in-first-out data buffer.

[0022] In a preferred embodiment of the present invention, the monitoring system further includes an ambient temperature compensation unit; the data acquisition module is also used to acquire ambient temperature data around the blood oxygen probe. The heat dose calculation unit, when calculating the cumulative heat dose value Q, takes the ambient temperature as an example. Introduced as a compensation factor into the calculation, the corrected calculation formula is as follows: ;in, This is the preset compensation coefficient; This is the preset standard ambient reference temperature.

[0023] In a preferred embodiment of the present invention, the temperature control unit in the control execution module controls the current flowing through the heating element inside the blood oxygen probe using pulse width modulation (PWM).

[0024] In a preferred embodiment of the present invention, the monitoring system is connected to a cloud server; the data processing and analysis module periodically records the cumulative heat dose value Q, the comprehensive risk level R, the neonatal individualized parameters, and the risk intervention operations performed as a device operation log, and uploads the log to the cloud server.

[0025] In a preferred embodiment of the present invention, after each generation of an early warning signal for burns and completion of probe position replacement, the monitoring system automatically resets the initial time point of the integral calculation and clears the cumulative heat dose value Q, while recording the warning event and the handling result to the internal memory.

[0026] This invention addresses the shortcomings of the prior art and has the following beneficial effects:

[0027] (1) By calculating the cumulative heat dose value in real time and comparing it with the safety threshold product, the concept of cumulative thermal damage in medicine is quantified and integrated into the device, so that an early warning can be issued based on the cumulative effect of heat exposure before tissue damage actually occurs, thereby solving the technical problem that existing technologies cannot prevent low-temperature burns.

[0028] (2) By introducing individualized parameters for newborns and constructing a risk mapping model and a multi-dimensional risk assessment function F, the existing unified safety strategy has been changed, which can automatically identify high-risk children such as extremely premature and extremely low birth weight, and dynamically lower their safety thresholds to provide stricter protection.

[0029] (3) By incorporating the blood oxygen signal quality index into the risk assessment, it can not only determine the risk of burns, but also intelligently prompt the best time to replace the probe when the signal quality decreases due to probe loosening or insufficient perfusion. This ensures that the safety of the child is protected without sacrificing the continuity and reliability of vital sign monitoring, and provides medical staff with more comprehensive decision support. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a system workflow diagram of a preferred embodiment of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein. Therefore, the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0034] like Figure 1As shown, the neonatal intelligent temperature-controlled blood oxygen probe anti-scalding monitoring system includes: a data acquisition module, a data processing and analysis module, and a control execution module; the monitoring system achieves scalding risk warning and intervention based on cumulative heat dose by executing the following steps:

[0035] The data acquisition module acquires in real time the temperature data T of the probe and skin contact surface from the temperature sensor integrated inside the blood oxygen probe, as well as the continuous contact time data t from the internal clock unit of the system.

[0036] Furthermore, the data acquisition module is also used to acquire the blood oxygenation signal quality indicators output by the blood oxygenation probe in real time. The blood oxygenation signal quality indicators include the perfusion index (PI) and the signal-to-noise ratio (SNR). The data processing and analysis module performs the following steps:

[0037] Step S11: Establish a multi-dimensional risk assessment function F, inputting the cumulative heat dose value Q, blood oxygen signal quality index and neonatal individualized parameters, and outputting the comprehensive risk level R;

[0038] Step S12: The multi-dimensional risk assessment function F is configured as follows: when the blood oxygen signal quality index is lower than the preset signal quality threshold and the cumulative heat dose value Q is close to but has not reached the neonatal safe heat dose threshold. When this occurs, output an increased overall risk level R;

[0039] Step S13: The control execution module performs risk intervention operations according to different comprehensive risk levels R.

[0040] The data acquisition module collects temperature data T at a specific sampling frequency f using a temperature sensor, and stores the continuous temperature data sequence along with the corresponding timestamp in a first-in-first-out data buffer.

[0041] The mathematical expression for the multi-dimensional risk assessment function F is as follows: ;

[0042] Where: R represents the comprehensive risk level, a dimensionless numerical value, with a range of values... The higher the value, the higher the risk level. This represents the relative value of cumulative heat dose. The perfusion index is a relative value. For real-time perfusion index; The preset reference value for normal perfusion index (typical value is 45%). This is a relative value of the signal-to-noise ratio; For real-time signal-to-noise ratio; This is the preset minimum acceptable signal-to-noise ratio threshold (typically 20dB). This is a relative value of body weight. This refers to the newborn's actual weight. This is a reference value for body weight (typical value is 2500g); Relative gestational age; The actual gestational age of the newborn; This is a reference value for gestational age; , , , , These are the weighting coefficients for each risk factor, satisfying... .

[0043] Typical weight allocation: =0.35 (heat dose); =0.25 (infusion index); =0.20 (signal quality); =0.10 (weight); =0.10 (gestational age).

[0044] Risk level classification criteria:

[0045] Level 1 Risk (Low Risk): Only generate reminder messages.

[0046] Level 2 risk (medium risk): Perform a power reduction operation on the probe.

[0047] Level 3 risk (high risk): It performs a combined operation of power adjustment and triggering of audible and visual alarms.

[0048] The data processing and analysis module receives the temperature data T of the probe-skin contact surface and the continuous contact time t, and calls the heat dose calculation unit to calculate the cumulative heat dose value Q in real time over time t through integration. The formula for calculating the cumulative heat dose value Q is: ,in, It is the real-time temperature that changes with the continuous contact time data t; It is the preset reference value for newborn basal body temperature;

[0049] Furthermore, the data processing and analysis module calculates the cumulative heat dose value Q using the following steps:

[0050] Step S01: The monitoring system retrieves pre-stored newborn individualized parameters from its internal memory;

[0051] Step S02: The risk mapping model built into the monitoring system dynamically adjusts the safe thermal dose threshold for newborns based on individualized parameters. and / or neonatal basal body temperature reference values ;

[0052] Step S03: The heat dose calculation unit uses the adjusted parameters to execute the calculation formula.

[0053] The data processing and analysis module will calculate the real-time cumulative heat dose value Q and compare it with the preset neonatal safe heat dose threshold. A comparative assessment is conducted when the cumulative heat dose value Q reaches or exceeds the neonatal safe heat dose threshold. At that time, an early warning signal for burns is generated;

[0054] The monitoring system also includes an ambient temperature compensation unit; the data acquisition module is also used to acquire ambient temperature data around the pulse oximeter probe. The heat dose calculation unit takes the ambient temperature into account when calculating the cumulative heat dose value Q. Introduced as a compensation factor into the calculation, the corrected calculation formula is as follows: ;in, This is the preset compensation coefficient; This is the preset standard ambient reference temperature.

[0055] The control execution module receives an early warning signal for burns and performs at least one risk intervention operation based on the signal. The risk intervention operation includes: sending a power adjustment command to the temperature control unit of the blood oxygen probe to reduce the heat generated by the probe, and activating the alarm unit of the system to issue an audible and visual alarm to prompt medical staff to change the probe position. This realizes the transformation from instantaneous temperature monitoring to management of the cumulative effect of heat exposure, and provides early warning and intervention before tissue damage occurs.

[0056] Furthermore, the temperature control unit in the control execution module controls the current flowing through the heating element inside the blood oxygen probe using pulse width modulation (PWM).

[0057] The monitoring system is connected to a cloud server; the data processing and analysis module regularly records the cumulative heat dose value Q, the comprehensive risk level R, the individualized parameters of newborns, and the risk intervention operations performed as equipment operation logs, and uploads the logs to the cloud server.

[0058] After generating an early warning signal for burns and changing the probe position each time, the monitoring system automatically resets the initial time point of the integral calculation and clears the cumulative heat dose value Q, while recording the warning event and the handling results to the internal memory.

[0059] Furthermore, in a preferred embodiment of the present invention, the monitoring system integrates pattern recognition and smart sensor technologies to further improve the accuracy of its early warning and the intelligence level of the system.

[0060] At the data acquisition level, the pulse oximeter probe can be configured as a smart sensor. The smart sensor, through its built-in microprocessor, can filter, reduce noise, and perform baseline correction on the acquired raw optical signals (used for pulse oximetry calculation) and temperature signals, directly outputting cleaner and more stable pre-processed data (such as a smoothed temperature sequence). This improves the reliability of subsequent analysis from the data source and reduces the load on the central processing module.

[0061] At the data processing and risk analysis level, the data processing and analysis module may further include a pattern recognition unit. This unit is configured to perform real-time pattern analysis on the input time-series data (such as temperature sequences, cumulative heat dose value Q variation curves). Its core function is to identify specific risk association patterns through pre-trained classification or regression models (e.g., models based on decision trees, support vector machines, or lightweight neural networks).

[0062] Specifically, the pattern recognition unit can be trained to recognize at least two key patterns:

[0063] Identify abnormally rapid temperature increases within a short period, even if the cumulative heat dose Q has not yet reached a threshold. The system can also issue early warnings.

[0064] When the pattern recognition unit simultaneously analyzes temperature data and blood oxygen signal quality indicators (such as signal-to-noise ratio SNR), it can identify patterns where the signal is intermittently interrupted but the contact point temperature remains consistently high. This pattern may indicate that the probe is in a semi-loose state, leading to uneven heat dissipation and an increased risk of localized heat accumulation.

[0065] When the pattern recognition unit identifies any of the aforementioned risk patterns, it generates a pattern recognition risk flag, which is then fed into the multi-dimensional risk assessment function F as another key input parameter. Function F can then weight and enhance the overall risk level R, thereby enabling the system's decision-making logic to move beyond static threshold comparisons and acquire a more forward-looking intelligent judgment capability based on dynamic behavioral patterns.

[0066] By introducing front-end preprocessing of intelligent sensors and back-end intelligent analysis of pattern recognition units, the system of this invention has achieved an evolution from rule-based threshold judgment to data-driven intelligent perception and decision-making, significantly enhancing the ability to detect and accurately warn of burn risks in complex clinical scenarios.

[0067] Based on the preferred embodiments of the present invention described above, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A new-born intelligent temperature control blood oxygen probe anti-scald monitoring system, characterized in that, The system comprises a data acquisition module, a data processing and analysis module, and a control execution module. The data acquisition module acquires real-time temperature data T from the temperature sensor integrated in the blood oxygen probe and the contact surface between the probe and the skin, and continuous contact time data t from the internal clock unit of the monitoring system. The control execution module receives the early warning signal of scald and executes at least one risk intervention operation. The data processing and analysis module receives the temperature data T and the continuous contact time data t, and calls a heat dose calculation unit to calculate a cumulative heat dose value Q at the time t in real time through integral operation, and the calculation formula of the cumulative heat dose value Q is: ; wherein, is the real-time temperature changing with the continuous contact time data t; is a preset reference value of the basic body temperature of the newborn; The data processing and analysis module compares the calculated real-time cumulative heat dose value Q with the preset neonatal safe heat dose threshold value When the cumulative heat dose value Q reaches or exceeds the neonatal safe heat dose threshold value , an early warning signal of scald is generated; The risk intervention operation includes sending a power adjustment instruction to the temperature control unit of the blood oxygen probe to reduce the heat generation of the probe, and activating the alarm unit of the monitoring system to issue an audible and visual alarm to prompt medical staff to replace the probe position.

2. The anti-scald monitoring system for a neonatal intelligent temperature-controlled blood oxygen probe according to claim 1, characterized in that: The data processing and analysis module calculates the cumulative heat dose value Q through the following steps: 3.The anti-scalding monitoring system for neonatal intelligent temperature-controlling blood oxygen probe according to claim 1, characterized in that: Step S01, the monitoring system calls the pre-stored individualized parameters of the newborn from the internal memory; Step S03, the heat dose calculation unit uses the adjusted parameters to execute the calculation formula. Step S02, the risk mapping model built-in the monitoring system dynamically adjusts the safe hot dose threshold value of the newborn according to the individualized parameters of the newborn and / or the reference value of the basal body temperature of the newborn ; The data acquisition module is also used to acquire real-time blood oxygen signal quality indicators output by the blood oxygen probe, including perfusion index PI and signal-to-noise ratio SNR; the data processing and analysis module executes the following steps:

4. The anti-scald monitoring system for neonatal intelligent temperature control blood oxygen probe of claim 1, characterized in that: Step S11, a multi-dimensional risk assessment function F is established, the cumulative heat dose value Q, the blood oxygen signal quality indicators, and the individualized parameters of the newborn are input, and the comprehensive risk level R is output; Step S13, the control execution module executes risk intervention operations according to different comprehensive risk levels R. Step S12, the multi-dimensional risk assessment function F is configured to output an elevated comprehensive risk level R when the blood oxygen signal quality indicator is below a pre-set signal quality threshold and the cumulative heat dose value Q is close to but has not reached the neonate safe heat dose threshold . The data acquisition module collects temperature data T through the temperature sensor at a specific sampling frequency f, and stores the continuous temperature data sequence and the corresponding time stamp in a first-in-first-out data buffer area.

5. The anti-scald monitoring system for neonatal intelligent temperature control blood oxygen probe of claim 1, characterized in that: The temperature control unit in the control execution module controls the current flowing through the heating element in the blood oxygen probe through pulse width modulation (PWM) method.

6. The intelligent anti-scald monitoring system for neonatal temperature-controllable blood oxygen probe of claim 1, characterized in that: The monitoring system further comprises an ambient temperature compensation unit; the data acquisition module is further configured to acquire ambient temperature data around the blood oxygen probe ; the thermal dose calculation unit introduces the ambient temperature as a compensation factor into the calculation, and the modified calculation formula is: ; wherein, is a preset compensation coefficient; is a preset standard ambient reference temperature.

7. The intelligent anti-scald monitoring system for neonatal temperature-controllable blood oxygen probe according to claim 1, characterized in that: The monitoring system is connected to a cloud server; the data processing and analysis module regularly records the cumulative heat dose value Q, the comprehensive risk level R, the individualized parameters of the newborn, and the executed risk intervention operation as a device operation log, and uploads the log to the cloud server.

8. The intelligent anti-scald monitoring system for neonatal temperature-controllable blood oxygen probe of claim 4, characterized in that: The monitoring system automatically resets the initial time point of the integral operation and clears the cumulative heat dose value Q after generating the early warning signal of scald and completing the replacement of the probe position each time, and records the warning event and the disposal result to the internal memory.

9. The intelligent anti-scald monitoring system for neonatal temperature-controllable blood oxygen probe of claim 1, characterized in that: ​

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