Granted Patent B2

US 12,478,798 · App. 17/782,998 · Granted Nov 25, 2025

Inventor: Yuanyuan Cui (Beijing, CN)

Assignee: BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD.

A61N5/0621A61B5/14546A61B5/7275A61B2503/045

Abstract

Claims (101)

1 . A non-transitory computer-readable storage medium storing a computer program, which, when executed by a processor, causes a system to implement the following operations:

detecting a bilirubin concentration of a newborn;

generating detection data according to the detected bilirubin concentration;

evaluating a risk level of pathological jaundice according to the detection data; and

displaying the detection data and/or the risk level of pathological jaundice,

wherein the computer program, when executed by the processor, causes the system to further implement the following operations:

receiving a phototherapy parameter that has been applied to the newborn;

calculating a recommended phototherapy parameter according to the detection data and the applied phototherapy parameter;

displaying the recommended phototherapy parameter; and

performing illumination according to the recommended phototherapy parameter,

wherein evaluating the risk level of pathological jaundice according to the detection data comprises:

acquiring a birth time T B of the newborn, information on whether the newborn is full-term, and the detection data (T i , C i ) of the newborn, where i is a natural number and is not greater than N, and is used to represent i-th bilirubin detection performed for the newborn; N represents N-th bilirubin detection latest performed for the newborn; T i represents a time of the i-th bilirubin detection, and C i represents a bilirubin concentration of the i-th bilirubin detection;

according to the detection data (T N , C N ), determining whether an interval time T N,B between a detection time T N and the birth time T B is less than a first time threshold T refl , and determining whether the bilirubin concentration C N is greater than a first concentration threshold C refl , and generating first confirmation information when it is determined that the interval time T N,B is less than the first time threshold T ref1 and the bilirubin concentration C N is greater than the first concentration threshold C ref1 ;

determining whether the bilirubin concentration C N is greater than a second concentration threshold C ref2 which is greater than the first concentration threshold C ref1 according to the detection data (T N , C N ), wherein, when the newborn is full-term, the second concentration threshold C ref2 is equal to a first reference concentration C ref21 , and when the newborn is not full-term, the second concentration threshold C ref2 is equal to a second reference concentration C ref22 , the first reference concentration C ref21 is less than the second reference concentration C ref22 , and generating second confirmation information when it is determined that the bilirubin concentration C N is greater than the second concentration threshold C ref2 ;

calculating a first concentration change rate V N,N-1 according to the detection data (T N , C N ) and the detection data (T N-1 , C N-1 ) when N is greater than 1, where, V N,N-1 =(C N -C N-1 )/(T N -T N-1 ), and generating third confirmation information when the first concentration change rate V N,N-1 is greater than a reference rate threshold V ref1 ; and

determining that the risk level of pathological jaundice is a high risk according to the first confirmation information, the second confirmation information or the third confirmation information.

2 . The non-transitory computer-readable storage medium according to claim 1 , wherein the evaluating the risk level of pathological jaundice according to the detection data further comprises:

generating first negative information when the interval time T N,B is not less than the first time threshold T ref1 or the bilirubin concentration C N is not greater than the first concentration threshold C ref1 ;

generating second negative information when the bilirubin concentration C N is not greater than the second concentration threshold C ref2 ;

generating third negative information when the first concentration change rate V N,N-1 is not greater than the reference rate threshold V ref1 ;

calculating a first predicted concentration C M1 after a first predicted time length T M1 when N is greater than 1, where C M1 =C N +T M1 *(C N -C N-1 )/(T N -T N-1 ), and generating fourth confirmation information when the first predicted concentration C M1 is greater than a third concentration threshold C ref3 , wherein the third concentration threshold C ref3 is greater than the first concentration threshold C ref1 ;

when N is greater than 2, calculating a second predicted concentration C M2 after a second predicted time length T M2 where C M2 =C N +T M2 *(C N −C N-1 )/(T N −T N-1 ), and calculating a second concentration change rate V N-1,N-2 and comparing the first concentration change rate V N,N-1 with the second concentration change rate V N-1,N-2 , where V N-1,N-2 =(C N-1 −C N-2 )/(T N-1 −T N-2 ), and generating fifth confirmation information when the second predicted concentration C M2 is greater than a fourth concentration threshold C ref4 , and the first concentration change rate V N,N-1 is greater than the second concentration change rate V N-1,N-2 , wherein the fourth concentration threshold C ref4 is greater than the first concentration threshold C ref1 , and the second predicted time length T M2 is greater than the first predicted time length T M1 ; and

determining that the risk level of pathological jaundice is a medium risk according to the first negative information, the second negative information and the third negative information, and according to the fourth confirmation information or the fifth confirmation information rate V N,N-1 is greater than the second concentration change rate V N-1,N-2 , wherein the fourth concentration threshold C ref4 is greater than the first concentration threshold C ref1 , and the second predicted time length T M2 is greater than the first predicted time length T M1 ; and

determining that the risk level of pathological jaundice is a medium risk according to the first negative information, the second negative information and the third negative information, and according to the fourth confirmation information or the fifth confirmation information.

3 . The non-transitory computer-readable storage medium according to claim 2 , wherein the evaluating the risk level of pathological jaundice according to the detection data further comprises:

generating fourth negative information when the first predicted concentration C M1 is not greater than the third concentration threshold C ref3 ;

generating fifth negative information when the second predicted concentration C M2 is not greater than the fourth concentration threshold C ref4 , or the first concentration change rate V N,N-1 is not greater than the second concentration change rate V N-1,N-2 ; and

determining the risk level of pathological jaundice is a low risk according to the first negative information, the second negative information, the third negative information, the fourth negative information and the fifth negative information.

4 . The non-transitory computer-readable storage medium according to claim 1 , wherein the applied phototherapy parameter is a phototherapy parameter of a previous phototherapy, and wherein the calculating the recommended phototherapy parameter according to the detection data and the applied phototherapy parameter comprises:

calculating a characteristic value of phototherapy effect C N,P according to the detection data (T p , C p ) generated before start of the previous phototherapy and the detection data (TN, CN) generated before start of a current phototherapy, where C N,P =C N -C P , and wherein an interval between T N and T p is 20-28 hours, and P is a natural number and less than N;

determining a phototherapy parameter adjustment strategy according to the characteristic value of phototherapy effect C N, P and the bilirubin concentration C N ;

and determining the recommended phototherapy parameter for the current phototherapy according to the phototherapy parameter adjustment strategy and the phototherapy parameter of the previous phototherapy.

5 . A system for diagnosing and treating jaundice, comprising:

a processor; and

a memory, configured to store an executable program of the processor;

wherein the processor is configured to execute the executable program to cause the system to implement the following operations:

detecting a bilirubin concentration of a newborn;

generating detection data according to the detected bilirubin concentration;

evaluating a risk level of pathological jaundice according to the detection data; and

displaying the detection data and/or the risk level of pathological jaundice,

wherein the processor is further configured to execute the executable program to implement the following operations:

receiving a phototherapy parameter that has been applied to the newborn;

calculating a recommended phototherapy parameter according to the detection data and the applied phototherapy parameter;

displaying the recommended phototherapy parameter; and

performing illumination according to the recommended phototherapy parameter,

wherein evaluating the risk level of pathological jaundice according to the detection data comprises:

acquiring a birth time T B of the newborn, information on whether the newborn is full-term, and the detection data (T i , C i ) of the newborn, where i is a natural number and is not greater than N, and is used to represent i-th bilirubin detection performed for the newborn; N represents N-th bilirubin detection latest performed for the newborn; T i represents a time of the i-th bilirubin detection, and C i represents a bilirubin concentration of the i-th bilirubin detection;

according to the detection data (T N , C N ), determining whether an interval time T N,B between a detection time T N and the birth time T B is less than a first time threshold T ref1 , and determining whether the bilirubin concentration Cv is greater than a first concentration threshold Creft, and generating first confirmation information when it is determined that the interval time T N,B is less than the first time threshold T ref1 and the bilirubin concentration C N is greater than the first concentration threshold C ref1 ;

determining whether the bilirubin concentration C N is greater than a second concentration threshold C ref2 which is greater than the first concentration threshold C ref1 according to the detection data (T N ,C N ), wherein, when the newborn is full-term, the second concentration threshold C ref2 is equal to a first reference concentration C ref21 , and when the newborn is not full- term, the second concentration threshold C ref2 is equal to a second reference concentration C ref22 , the first reference concentration C ref21 is less than the second reference concentration C ref22 , and generating second confirmation information when it is determined that the bilirubin concentration C N is greater than the second concentration threshold C ref2 ;

calculating a first concentration change rate V N,N-1 according to the detection data (T N , C N ) and the detection data (T N-1 , C N-1 ) when N is greater than 1, where, V N,N-1 =(C N -C N-1 )/(T N -T N-1 ), and generating third confirmation information when the first concentration change rate V N,N-1 is greater than a reference rate threshold V ref1 ; and

determining that the risk level of pathological jaundice is a high risk according to the first confirmation information, the second confirmation information or the third confirmation information.

6 . The system for diagnosing and treating jaundice according to claim 5 , wherein the processor is further configured to execute the executable program to use the system to implement the following operations:

generating first negative information when the interval time T N,B is not less than the first time threshold T ref1 or the bilirubin concentration C N is not greater than the first concentration threshold C ref1 ;

generating second negative information when the bilirubin concentration C N is not greater than the second concentration threshold C ref2 ;

generating third negative information when the first concentration change rate V N,N-1 is not greater than the reference rate threshold V ref1 ;

calculating a first predicted concentration C M1 after a first predicted time length T M1 when N is greater than 1, where C M1 =C N +T M1 *(C N −C N-1 )/(T N −T N-1 ), and generating fourth confirmation information when the first predicted concentration C M1 is greater than a third concentration threshold C ref3 , wherein the third concentration threshold C ref3 is greater than the first concentration threshold C ref1 ;

when N is greater than 2, calculating a second predicted concentration C M2 after a second predicted time length T M2 where C M2 =C N +T M2 *(C N −C N-1 )/(T N −T N-1 ), and calculating a second concentration change rate V N-1,N-2 and comparing the first concentration change rate V N,N-1 with the second concentration change rate V N-1,N-2 , where V N-1,N-2 =(C N-1 −C N-2 )/(T N-1 −T N-2 ), and generating fifth confirmation information when the second predicted concentration C M2 is greater than a fourth concentration threshold C ref4 , and the first concentration change rate V N,N-1 is greater than the second concentration change rate V N-1,N-2 , wherein the fourth concentration threshold C ref4 is greater than the first concentration threshold C ref1 , and the second predicted time length T M2 is greater than the first predicted time length T M1 ; and

determining that the risk level of pathological jaundice is a medium risk according to the first negative information, the second negative information and the third negative information, and according to the fourth confirmation information or the fifth confirmation information.

7 . The system for diagnosing and treating jaundice according to claim 6 , wherein the processor is further configured to execute the executable program to cause the system to implement the following operations:

generating fourth negative information when the first predicted concentration C M1 is not greater than the third concentration threshold C ref3 ;

generating fifth negative information when the second predicted concentration C M2 is not greater than the fourth concentration threshold C ref4 , or the first concentration change rate V N,N-1 is not greater than the second concentration change rate V N-1,N-2 ; and

determining the risk level of pathological jaundice is a low risk according to the first negative information, the second negative information, the third negative information, the fourth negative information and the fifth negative information.

8 . The system for diagnosing and treating jaundice according to claim 5 , wherein the applied phototherapy parameter is a phototherapy parameter of a previous phototherapy, and wherein the processor is further configured to execute the executable program to cause the system to implement the following operations:

calculating a characteristic value of phototherapy effect C N, P according to the detection data (T P , C P ) generated before start of the previous phototherapy and the detection data (T N , C N ) generated before start of a current phototherapy, where C N, P =C N −C P , and wherein an interval between T N and T P is 20-28 hours, and P is a natural number and less than N;

determining a phototherapy parameter adjustment strategy according to the characteristic value of phototherapy effect C N, P and the bilirubin concentration C N ; and

determining the recommended phototherapy parameter for the current phototherapy according to the phototherapy parameter adjustment strategy and the phototherapy parameter of the previous phototherapy.

9 . The system for diagnosing and treating jaundice according to claim 8 , wherein the determining a phototherapy parameter adjustment strategy according to the characteristic value of phototherapy effect C N,P and the bilirubin concentration C N comprises:

determining a previous phototherapy effect level according to the characteristic value of phototherapy effect C N, P ;

determining a current jaundice level according to the bilirubin concentration C N ; and

determining the phototherapy parameter adjustment strategy according to the previous phototherapy effect level, the current jaundice level and a phototherapy parameter adjustment strategy mapping table, wherein the phototherapy parameter adjustment strategy mapping table has a phototherapy parameter adjustment strategy corresponding to both a phototherapy effect level and a jaundice level.

10 . A computer implemented method for diagnosing and treating jaundice, comprising:

detecting a bilirubin concentration of a newborn;

generating detection data according to the detected bilirubin concentration;

evaluating a risk level of pathological jaundice according to the detection data; and

displaying the detection data and/or the risk level of pathological jaundice,

wherein the computer-implemented method further comprises:

receiving a phototherapy parameter that has been applied to the newborn;

calculating a recommended phototherapy parameter according to the detection data and the applied phototherapy parameter;

displaying the recommended phototherapy parameter; and

performing illumination according to the recommended phototherapy parameter,

wherein the evaluating the risk level of pathological jaundice according to the detection data comprises:

acquiring a birth time T B of the newborn, information on whether the newborn is full-term, and the detection data (T i , C i ) of the newborn, where i is a natural number and is not greater than N, and is used to represent i-th bilirubin detection performed for the newborn; N represents N-th bilirubin detection latest performed for the newborn; T i represents a time of the i-th bilirubin detection, and C i represents a bilirubin concentration of the i-th bilirubin detection;

according to the detection data (T N , C N ), determining whether an interval time T N,B between a detection time T N and the birth time T B is less than a first time threshold T ref1 , and determining whether the bilirubin concentration C N is greater than a first concentration threshold C ref1 , and generating first confirmation information when it is determined that the interval time T N,B is less than the first time threshold T ref1 and the bilirubin concentration C N is greater than the first concentration threshold C ref1 ;

determining whether the bilirubin concentration C N is greater than a second concentration threshold C ref2 which is greater than the first concentration threshold C ref1 according to the detection data (T N , C N ), wherein, when the newborn is full-term, the second concentration threshold C ref2 is equal to a first reference concentration C ref21 , and when the newborn is not full- term, the second concentration threshold C ref2 is equal to a second reference concentration C ref22 , the first reference concentration C ref21 is less than the second reference concentration C ref22 , and generating second confirmation information when it is determined that the bilirubin concentration C N is greater than the second concentration threshold C ref2 ;

calculating a first concentration change rate V N,N-1 according to the detection data (T N , C N ) and the detection data (T N-1 , C N-1 ) when N is greater than 1, where, V N,N-1 =(C N -C N-1 )/(T N -T N-1 ), and generating third confirmation information when the first concentration change rate V N,N-1 is greater than a reference rate threshold V ref1 ; and

determining that the risk level of pathological jaundice is a high risk according to the first confirmation information, the second confirmation information or the third confirmation information.

11 . The computer-implemented method according to claim 10 , wherein the evaluating the risk level of pathological jaundice according to the detection data further comprises:

generating first negative information when the interval time T N,B is not less than the first time threshold T ref1 or the bilirubin concentration C N is not greater than the first concentration threshold C ref1 ;

generating second negative information when the bilirubin concentration C N is not greater than the second concentration threshold C ref2 ;

generating third negative information when the first concentration change rate V N,N-1 is not greater than the reference rate threshold V ref1 ;

calculating a first predicted concentration C M1 after a first predicted time length T M1 when N is greater than 1, where C M1 =C N +T M1 *(C N −C N-1 )/(T N −T N-1 ), and generating fourth confirmation information when the first predicted concentration C M1 is greater than a third concentration threshold C ref3 , wherein the third concentration threshold C ref3 is greater than the first concentration threshold C ref1 ;

when N is greater than 2, calculating a second predicted concentration C M2 after a second predicted time length T M2 where C M2 =C N +T M2 *(C N −C N-1 )/(T N −T N-1 ), and calculating a second concentration change rate V N-1,N-2 and comparing the first concentration change rate V N,N-1 with the second concentration change rate V N-1,N_2 , where V N-1,N-2 =(C N-1 −C N-2 )/(T N-1 −T N-2 ), and generating fifth confirmation information when the second predicted concentration C M2 is greater than a fourth concentration threshold C ref4 , and the first concentration change rate V N,N-1 is greater than the second concentration change rate V N-1,N_2 , wherein the fourth concentration threshold C ref4 is greater than the first concentration threshold C ref1 , and the second predicted time length T M2 is greater than the first predicted time length T M1 ; and

determining that the risk level of pathological jaundice is a medium risk according to the first negative information, the second negative information and the third negative information, and according to the fourth confirmation information or the fifth confirmation information.

12 . The computer-implemented method according to claim 11 , wherein the evaluating the risk level of pathological jaundice according to the detection data further comprises:

generating fourth negative information when the first predicted concentration C m1 is not greater than the third concentration threshold C ref3 ;

generating fifth negative information when the second predicted concentration C M2 is not greater than the fourth concentration threshold C ref4 , or the first concentration change rate V N,N-1 is not greater than the second concentration change rate V N-1,N-2 ; and

determining the risk level of pathological jaundice is a low risk according to the first negative information, the second negative information, the third negative information, the fourth negative information and the fifth negative information.

13 . The computer-implemented method according to claim 10 , wherein the applied phototherapy parameter is a phototherapy parameter of a previous phototherapy, and wherein the calculating the recommended phototherapy parameter according to the detection data and the applied phototherapy parameter comprises:

calculating a characteristic value of phototherapy effect C N, P according to the detection data (T P , C P ) generated before start of the previous phototherapy and the detection data (T N , C N ) generated before start of a current phototherapy, where C N, P =C N −C P , and wherein an interval between T N and T P is 20-28 hours, and P is a natural number and less than N;

determining a phototherapy parameter adjustment strategy according to the characteristic value of phototherapy effect C N, P and the bilirubin concentration C N ;

and determining the recommended phototherapy parameter for the current phototherapy according to the phototherapy parameter adjustment strategy and the phototherapy parameter of the previous phototherapy.

Assignments (2)

Priority Claims (1)

Continuity (1)

References Cited (16)