CN116548981A - Wireless transmission split type electrocardiograph monitoring system - Google Patents

Wireless transmission split type electrocardiograph monitoring system Download PDF

Info

Publication number
CN116548981A
CN116548981A CN202310849996.2A CN202310849996A CN116548981A CN 116548981 A CN116548981 A CN 116548981A CN 202310849996 A CN202310849996 A CN 202310849996A CN 116548981 A CN116548981 A CN 116548981A
Authority
CN
China
Prior art keywords
electrocardiosignal
abnormal
monitoring data
early warning
electrocardiograph
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
Application number
CN202310849996.2A
Other languages
Chinese (zh)
Other versions
CN116548981B (en
Inventor
曹婷
李玥
潘媛媛
张莉
吴海燕
关华
李媛媛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan Academy Of Medical Sciences Sichuan Provincial People's Hospital
Original Assignee
Sichuan Academy Of Medical Sciences Sichuan Provincial People's Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan Academy Of Medical Sciences Sichuan Provincial People's Hospital filed Critical Sichuan Academy Of Medical Sciences Sichuan Provincial People's Hospital
Priority to CN202310849996.2A priority Critical patent/CN116548981B/en
Publication of CN116548981A publication Critical patent/CN116548981A/en
Application granted granted Critical
Publication of CN116548981B publication Critical patent/CN116548981B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006ECG or EEG signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/332Portable devices specially adapted therefor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7465Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
    • A61B5/747Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Cardiology (AREA)
  • Physiology (AREA)
  • Business, Economics & Management (AREA)
  • Critical Care (AREA)
  • Emergency Management (AREA)
  • Emergency Medicine (AREA)
  • Nursing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

The invention discloses a wireless transmission split electrocardiograph monitoring system, which belongs to the field of intelligent medical treatment, wherein an electrocardiograph signal acquisition device is worn by a monitored person, and electrocardiograph signal original data of the monitored person are acquired according to the personnel condition of the monitored person; the data are sent to an electrocardiosignal extraction device through a communication device, and potential and waveform extraction is carried out on the electrocardiosignal original data to obtain electrocardiosignal monitoring data; then sending the data to an electrocardiosignal judging device, judging whether abnormality exists according to a preset electrocardiosignal abnormality state table, and obtaining an electrocardiosignal abnormality judging result; and sending the electrocardiosignal abnormality judgment result to an electrocardiosignal early warning device, and sending an early warning result by the electrocardiosignal early warning device according to the electrocardiosignal abnormality judgment result. The invention can select proper electrocardiographic monitoring strategies according to personal conditions of personnel, provides an adaptive monitoring scheme for users, and ensures the monitoring safety of guardianship personnel while improving the working efficiency of hospitals to the maximum extent.

Description

Wireless transmission split type electrocardiograph monitoring system
Technical Field
The invention belongs to the field of intelligent medical treatment, and particularly relates to a wireless transmission split type electrocardiograph monitoring system.
Background
By adopting the internet of things technology, heart activity information of a patient can be acquired for a long time in real time by utilizing various wearable or portable physiological signal acquisition equipment, and heart health conditions of the patient are analyzed by utilizing an artificial intelligence technology, so that uninterrupted heart health monitoring is realized, and the purposes of early diagnosis and follow-up are achieved. For several years, cardiac patients have increased sharply, however, due to the limitation of the development level of medical instruments, patients must go to a hospital to perform corresponding electrocardiographic detection, and the difficulty of medical treatment and the cost of seeing a doctor of the patients are increased. On the other hand, cardiovascular diseases have a certain contingency and burst, and abnormal electrocardiosignals only occur under certain special conditions, so that the electrocardiosignals must be recorded and analyzed for a long time.
The existing intelligent cardiovascular care monitoring system is used for constructing the database of the existing disease-related factors only around one to two disease-related factors, and cannot provide a comprehensive view of the disease-related factors; meanwhile, the prevalence rate of cardiovascular diseases is continuously increased, and bad life style is continuously popular, so that the prevention and management situation of the cardiovascular diseases are more serious.
Although some internet of things monitoring schemes for medical use exist at present, the schemes only adopt edge end or cloud data to process data, the system architecture is not stable, the electrocardiographic monitoring of patients is inconvenient, the monitoring data is not comprehensive, and effective monitoring results are difficult to give.
In the prior art, data analysis and treatment and disease diagnosis depend on a cloud platform or off-line computer equipment, so that the real-time performance is poor, the instant response is influenced, the practicability of instant treatment is low, and the data availability is low. The matched wearable equipment has complex structure, high cost and inconvenient use. The software algorithm model is simple, resulting in weak disease diagnosis. Data security issues are not considered; the heart early warning, the operation rehabilitation, the home care and other commercial service modes are not considered.
Disclosure of Invention
In order to solve the technical problems, the invention provides a wireless transmission split type electrocardiograph monitoring system, which reduces the influence of electrocardiograph monitoring inconvenience in the current environment.
According to a first aspect of the invention, the invention provides a wireless transmission split electrocardiograph monitoring system, which comprises an electrocardiograph signal acquisition device, a communication device and a server, wherein the server comprises an electrocardiograph signal extraction device, an electrocardiograph signal judgment device and an electrocardiograph signal early warning device;
the electrocardiosignal acquisition device is worn by a person under guardianship, and acquires electrocardiosignal original data of the person under guardianship according to personnel conditions of the person under guardianship;
the electrocardiosignal acquisition device sends the electrocardiosignal original data to the electrocardiosignal extraction device through the communication device, and the electrocardiosignal extraction device extracts the potential and the waveform of the electrocardiosignal original data to obtain electrocardiosignal monitoring data;
the electrocardiosignal extraction device sends electrocardiosignal monitoring data to the electrocardiosignal judgment device, and the electrocardiosignal judgment device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judgment result;
the electrocardiosignal judgment device sends the electrocardiosignal abnormality judgment result to the electrocardiosignal early warning device, and the electrocardiosignal early warning device sends an early warning result according to the electrocardiosignal abnormality judgment result.
Further, the electrocardiograph signal acquisition device is worn by a guardian, and the electrocardiograph signal acquisition device acquires electrocardiograph signal original data of the guardian according to personnel conditions of the guardian, and specifically comprises:
the monitored person performs physical examination in the monitored person before wearing the electrocardiosignal acquisition device to obtain a physical examination result;
when the physical examination result shows that the monitored person has a first index abnormality, the electrocardiosignal acquisition device acquires first electrocardiosignal original data of the monitored person according to a first period;
when the physical examination result shows that the monitored person has a second index abnormality, the electrocardiosignal acquisition device acquires second electrocardiosignal original data of the monitored person according to a second period;
when the physical examination result shows that the monitored person has a third index abnormality, the electrocardiosignal acquisition device acquires third electrocardiosignal original data of the monitored person according to a third period;
the first period is greater than the second period, and the second period is greater than the third period;
the first index abnormality is a BMI index greater than 29, the second index abnormality is a temperature index abnormality, and the third index abnormality is a myocardial enzyme index abnormality in blood.
Further, the electrocardiograph signal acquisition device sends the electrocardiograph signal original data to the electrocardiograph signal extraction device through the communication device, and the electrocardiograph signal extraction device extracts electric potential and waveform of the electrocardiograph signal original data to obtain electrocardiograph signal monitoring data, and the electrocardiograph signal acquisition device further comprises:
when the electrocardiosignal original data is first electrocardiosignal original data, the electrocardiosignal extraction device carries out waveform extraction on the first electrocardiosignal original data to obtain first electrocardiosignal monitoring data;
when the electrocardiosignal original data is second electrocardiosignal original data, the electrocardiosignal extraction device performs potential extraction on the second electrocardiosignal original data to obtain second electrocardiosignal monitoring data;
and when the electrocardiosignal original data is third electrocardiosignal original data, the electrocardiosignal extraction device extracts the potential and the waveform of the third electrocardiosignal original data to obtain third electrocardiosignal monitoring data.
Further, the electrocardiosignal extracting device sends electrocardiosignal monitoring data to the electrocardiosignal judging device, and the electrocardiosignal judging device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judging result, and the electrocardiosignal monitoring data processing device specifically comprises:
the electrocardiosignal judging device comprises an electrocardio frequency interface, an electrocardio amplitude interface and a potential detection interface;
the electrocardiosignal extraction device sends the first electrocardiosignal monitoring data to an electrocardiosignal frequency interface of the electrocardiosignal judgment device;
when the electrocardio frequency interface judges that abnormality exists in the waveform data of the first electrocardio signal monitoring data, the electrocardio frequency interface sends the first electrocardio signal monitoring data to an electrocardio amplitude interface;
and when the electrocardio amplitude interface determines that the first electrocardio signal monitoring data is abnormal, determining that an abnormal judgment result of the first electrocardio signal monitoring data is an electrocardio waveform abnormality.
Further, the electrocardiosignal extracting device sends electrocardiosignal monitoring data to the electrocardiosignal judging device, and the electrocardiosignal judging device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judging result, and the electrocardiosignal detecting device further comprises:
the electrocardiosignal extraction device sends the second electrocardiosignal monitoring data to a potential detection interface of the electrocardiosignal judgment device;
and when the potential detection interface determines that the second electrocardiosignal monitoring data is abnormal, determining that the result of the abnormality determination of the second electrocardiosignal monitoring data is an electrocardiosignal abnormality.
Further, the electrocardiosignal extracting device sends electrocardiosignal monitoring data to the electrocardiosignal judging device, and the electrocardiosignal judging device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judging result, and the electrocardiosignal detecting device further comprises:
the electrocardiosignal extraction device divides the third electrocardiosignal monitoring data into third electrocardiosignal waveform monitoring data and third electrocardiosignal potential monitoring data, sends the third electrocardiosignal waveform monitoring data to an electrocardiosignal frequency interface of the electrocardiosignal judgment device, and sends the third electrocardiosignal potential monitoring data to a potential detection interface of the electrocardiosignal judgment device;
when the electrocardio frequency interface judges that abnormality exists in the waveform data of the third electrocardio signal waveform monitoring data, the electrocardio frequency interface sends the third electrocardio signal waveform monitoring data to an electrocardio amplitude interface;
when the electrocardio amplitude interface determines that the third electrocardio signal waveform monitoring data is abnormal, determining that an abnormal judgment result of the third electrocardio signal waveform monitoring data is an electrocardio waveform abnormality;
and when the potential detection interface determines that the third electrocardiosignal potential monitoring data is abnormal, determining that an abnormal judgment result of the third electrocardiosignal potential monitoring data is an electrocardiosignal potential abnormality.
Further, the electrocardiosignal judgment device sends the electrocardiosignal abnormality judgment result to the electrocardiosignal early warning device, and the electrocardiosignal early warning device sends an early warning result according to the electrocardiosignal abnormality judgment result, specifically comprising:
when the abnormal judgment result of the first electrocardiosignal monitoring data is that the electrocardiosignal is abnormal, a first early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the second electrocardiosignal monitoring data is that the electrocardiosignal is abnormal, a second early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is not abnormal, a third early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is not abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is abnormal, a fourth early warning strategy is adopted to carry out early warning and reminding in a hospital;
and when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is abnormal, a fifth early warning strategy is adopted to carry out early warning and reminding in a hospital.
Further, the adoption of the first early warning strategy to early warning and reminding the hospital further comprises:
acquiring scene alarm reminding of obesity and abnormal heart, and sending consultation early warning to an obesity department and a cardiovascular department;
the adoption of the second early warning strategy to carry out early warning reminding in the hospital further comprises:
acquiring scene alarm reminding of heating and abnormal heart, and sending consultation early warning to a heating department and a cardiovascular department;
the adoption of the third early warning strategy to early warn and remind the hospital further comprises:
acquiring scene alarm reminding of blood diseases and abnormal heart, sending out inquiry early warning to a blood vessel department, and sending out pre-consultation alarm to the blood vessel department;
the adoption of the fourth early warning strategy for early warning and reminding in the hospital further comprises:
acquiring scene alarm reminding of blood diseases and abnormal heart, sending out inquiry early warning to a blood department, and sending out pre-consultation alarm to the blood vessel department;
the adoption of the fifth early warning strategy to early warn and remind the hospital further comprises:
acquiring alarm reminding of a scene of blood diseases and abnormal heart, and sending consultation early warning to a blood department and a cardiovascular department.
The invention requests to protect a wireless transmission split electrocardiograph monitoring system.A electrocardiograph signal acquisition device is worn by a monitored person, and electrocardiograph signal original data of the monitored person are acquired according to the personnel condition of the monitored person; the data are sent to an electrocardiosignal extraction device through a communication device, and potential and waveform extraction is carried out on the electrocardiosignal original data to obtain electrocardiosignal monitoring data; then sending the data to an electrocardiosignal judging device, judging whether abnormality exists according to a preset electrocardiosignal abnormality state table, and obtaining an electrocardiosignal abnormality judging result; the electrocardiosignal judgment device sends an electrocardiosignal abnormality judgment result to the electrocardiosignal early warning device, and the electrocardiosignal early warning device sends an early warning result according to the electrocardiosignal abnormality judgment result. The invention can select proper electrocardiographic monitoring strategy according to personal conditions of personnel, provide an adaptive monitoring scheme for users, maximize the work efficiency of hospitals and ensure the monitoring safety of guardianship personnel at the same time
Drawings
FIG. 1 is a block diagram of a wireless transmission split electrocardiographic monitoring system according to the present invention;
FIG. 2 is a block diagram of a server architecture of a wireless transmission split electrocardiographic monitoring system according to the present invention;
FIG. 3 is a flow chart of a wireless transmission split electrocardiographic monitoring system according to the present invention;
fig. 4 is a flowchart of a first electrocardiograph signal monitoring data abnormality determination operation of a wireless transmission split electrocardiograph monitoring system according to the present invention.
Detailed Description
According to a first embodiment of the present invention, referring to fig. 1, the present invention claims a wireless transmission split electrocardiograph monitoring system, which includes an electrocardiograph signal acquisition device, a communication device, and a server, referring to fig. 2, in a server structure module diagram, the server includes an electrocardiograph signal extraction device, an electrocardiograph signal judgment device, and an electrocardiograph signal early warning device;
referring to fig. 3, the workflow of the wireless transmission split electrocardiograph monitoring system includes:
the electrocardiosignal acquisition device is worn by a person under guardianship, and acquires electrocardiosignal original data of the person under guardianship according to personnel conditions of the person under guardianship;
the electrocardiosignal acquisition device sends the electrocardiosignal original data to the electrocardiosignal extraction device through the communication device, and the electrocardiosignal extraction device extracts the potential and the waveform of the electrocardiosignal original data to obtain electrocardiosignal monitoring data;
the electrocardiosignal extraction device sends electrocardiosignal monitoring data to the electrocardiosignal judgment device, and the electrocardiosignal judgment device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judgment result;
the electrocardiosignal judgment device sends the electrocardiosignal abnormality judgment result to the electrocardiosignal early warning device, and the electrocardiosignal early warning device sends an early warning result according to the electrocardiosignal abnormality judgment result.
In this embodiment, when the electrocardiograph signal extraction device performs waveform extraction on the electrocardiograph signal raw data, the electrocardiograph signal raw data is extracted into P waves. In this embodiment, when the electrocardiograph signal extraction device performs potential extraction on the electrocardiograph signal raw data, the electrocardiograph signal raw data is extracted into a T-wave potential value.
The P-wave and the T-wave are unique waveforms in an electrocardiogram, and the P-wave and the T-wave are extracted by analyzing electrocardiogram signals in a time domain and a frequency domain, and the method can comprise the following steps:
(1) Time domain analysis: the electrocardiographic waveforms may be analyzed in the time dimension, such as peaks, troughs, wave widths, amplitudes, etc., to determine the position and properties of the P-waves and T-waves;
(2) Frequency domain analysis: the electrocardiogram signal can be extracted into a frequency domain signal through Fourier transformation, frequency analysis is carried out, and the change of the electrocardiogram in different frequency bands is observed, so that the signal characteristics of P waves and T waves can be reflected;
(3) Wavelet analysis: the wavelet analysis can carry out multi-scale decomposition on the electrocardiogram signal to obtain waveforms of different frequency components, so that the frequency band attribute of the P wave and the T wave can be analyzed, and the relevant information of the P wave and the T wave can be judged and extracted;
(4) And (3) adaptive filtering: the self-adaptive filtering can attenuate the noise in the electrocardiographic waveform by analyzing the statistic and noise characteristics of the electrocardiographic signal, and the effectiveness and accuracy of P wave and T wave extraction are improved.
Since the P wave represents the heart contraction, whether the abnormality occurs can be judged only by the waveform of the P wave during abnormality monitoring; and the repolarization of the T-band ventricle can judge that the detected patient has an error risk if the detected patient has an abnormality only through the waveform, and the detection needs to be further judged through the potential value, so that the potential abnormality is monitored through the T-wave potential value in the embodiment.
Specifically, referring to table 1, in this embodiment, the electrocardiographic signal abnormal state table is a table in which the time period indicates the time limit value of the P wave, and the time limit of the P wave is normally not more than 0.12s, i.e., 120ms.
The P-wave is the response of the atrial electrical activity on the electrocardiogram, i.e. the atrium, after having contacted the sinus node command, will produce depolarization, activation, and thus contraction, reflecting the P-wave on the electrocardiogram. Normally, the height (amplitude) and width (time limit) of the P wave are all in a range, and the time limit is not more than 0.12s.
If the time limit of the P wave is prolonged, the existence of left atrial augmentation or double atrial augmentation, including mitral stenosis, mitral insufficiency and other rheumatic heart diseases, dilated cardiomyopathy, atrial fibrillation and the like is suggested, and the time limit of the P wave can be increased. Shortened time periods of P-waves can also be seen in abnormal conditions such as hyperthyroidism leading to increased intra-atrial conduction, leading to shortened time periods of P-waves.
For the electrocardiogram T wave potential value, the normal range value is 12-15mv, and the abnormality of the value is an important observation index, mainly used for prompting myocardial ischemia and having other significance. Specifically, the T-wave potential value abnormality mainly comprises low level, bi-directional, inverted and the like, and generally represents myocardial ischemia from light to heavy, and the occurrence of abnormality in different leads represents ischemia of corresponding blood vessels and parts.
It is generally accompanied by depression or elevation of ST segment, and angina or myocardial infarction are considered respectively. In addition, the T wave can also have high tip, which is generally found in the hyperacute stage of acute myocardial infarction or uremic hyperkalemia, and needs to be judged according to the specific condition of patients.
TABLE 1 abnormal electrocardiographic signal status table
Further, the electrocardiograph signal acquisition device is worn by a guardian, and the electrocardiograph signal acquisition device acquires electrocardiograph signal original data of the guardian according to personnel conditions of the guardian, and specifically comprises:
the monitored person performs physical examination in the monitored person before wearing the electrocardiosignal acquisition device to obtain a physical examination result;
when the physical examination result shows that the monitored person has a first index abnormality, the electrocardiosignal acquisition device acquires first electrocardiosignal original data of the monitored person according to a first period;
when the physical examination result shows that the monitored person has a second index abnormality, the electrocardiosignal acquisition device acquires second electrocardiosignal original data of the monitored person according to a second period;
when the physical examination result shows that the monitored person has a third index abnormality, the electrocardiosignal acquisition device acquires third electrocardiosignal original data of the monitored person according to a third period;
the first period is greater than the second period, and the second period is greater than the third period
In this embodiment, the first period is 60 seconds, the second period is 30 seconds, and the third period is 10 seconds;
the first index abnormality is a BMI index greater than 29, the second index abnormality is a temperature index abnormality, and the third index abnormality is a myocardial enzyme index abnormality in blood.
In this embodiment, the temperature index is the oral temperature of the monitored person, the abnormal temperature index is that the oral temperature of the monitored person is greater than 36.8 ℃, the myocardial enzyme index in blood is the content value of lactate dehydrogenase in blood, and the abnormal myocardial enzyme index in blood is that the content value of lactate dehydrogenase in blood exceeds the standard value 245U/L.
Three indexes with the largest cardiac motion effect, namely a BMI index for obesity index, a temperature abnormality index related to body surface fever and a blood myocardial enzyme index related to blood diseases are adopted.
The relationship between obesity and heart disease has become well known in the industry in recent years, and there is a close relationship between the two, and obesity is usually accompanied by an increase in blood lipid, and is one of important risk factors for causing cardiovascular diseases. Along with the continuous improvement of the living standard of people in China, on one hand, the occurrence rate of obesity of obese people, especially children, teenagers and young people, is increased year by year, and on the other hand, the occurrence of cardiovascular and cerebrovascular diseases is in a younger trend.
In the case of fever, there are many pathogenic factors, and abnormal blood supply and beat often cause fever, so that the relationship between fever and abnormal heartbeat is important.
The level of myocardial enzymes in blood is a direct indicator of heart health, and is of self-evident importance.
Further, the electrocardiograph signal acquisition device sends the electrocardiograph signal original data to the electrocardiograph signal extraction device through the communication device, and the electrocardiograph signal extraction device extracts electric potential and waveform of the electrocardiograph signal original data to obtain electrocardiograph signal monitoring data, and the electrocardiograph signal acquisition device further comprises:
when the electrocardiosignal original data is first electrocardiosignal original data, the electrocardiosignal extraction device carries out waveform extraction on the first electrocardiosignal original data to obtain first electrocardiosignal monitoring data;
when the electrocardiosignal original data is second electrocardiosignal original data, the electrocardiosignal extraction device performs potential extraction on the second electrocardiosignal original data to obtain second electrocardiosignal monitoring data;
and when the electrocardiosignal original data is third electrocardiosignal original data, the electrocardiosignal extraction device extracts the potential and the waveform of the third electrocardiosignal original data to obtain third electrocardiosignal monitoring data.
In this embodiment, the probability of occurrence of abnormality in the heartbeat waveform is large for the obesity index, and irregularity often occurs in the heartbeat due to the overload of the heart;
when the human body heats, the potential situation of the heartbeat is often abnormal due to abnormal internal steady state, so that the situations of heart beat disorder, arrhythmia and the like are caused;
for abnormal myocardial enzymes, both of the above conditions may occur, and therefore, both waveforms and potentials need to be monitored.
Further, the electrocardiosignal extracting device sends electrocardiosignal monitoring data to the electrocardiosignal judging device, and the electrocardiosignal judging device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judging result, and the electrocardiosignal monitoring data processing device specifically comprises:
the electrocardiosignal judging device comprises an electrocardio frequency interface, an electrocardio amplitude interface and a potential detection interface;
referring to fig. 4, in a workflow diagram for determining abnormality of first electrocardiograph signal monitoring data, the electrocardiograph signal extracting device sends the first electrocardiograph signal monitoring data to an electrocardiograph frequency interface of the electrocardiograph signal determining device;
when the electrocardio frequency interface judges that abnormality exists in the waveform data of the first electrocardio signal monitoring data, the electrocardio frequency interface sends the first electrocardio signal monitoring data to an electrocardio amplitude interface;
and when the electrocardio amplitude interface determines that the first electrocardio signal monitoring data is abnormal, determining that an abnormal judgment result of the first electrocardio signal monitoring data is an electrocardio waveform abnormality.
Further, the electrocardiosignal extracting device sends electrocardiosignal monitoring data to the electrocardiosignal judging device, and the electrocardiosignal judging device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judging result, and the electrocardiosignal detecting device further comprises:
the electrocardiosignal extraction device sends the second electrocardiosignal monitoring data to a potential detection interface of the electrocardiosignal judgment device;
and when the potential detection interface determines that the second electrocardiosignal monitoring data is abnormal, determining that the result of the abnormality determination of the second electrocardiosignal monitoring data is an electrocardiosignal abnormality.
Further, the electrocardiosignal extracting device sends electrocardiosignal monitoring data to the electrocardiosignal judging device, and the electrocardiosignal judging device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judging result, and the electrocardiosignal detecting device further comprises:
the electrocardiosignal extraction device divides the third electrocardiosignal monitoring data into third electrocardiosignal waveform monitoring data and third electrocardiosignal potential monitoring data, sends the third electrocardiosignal waveform monitoring data to an electrocardiosignal frequency interface of the electrocardiosignal judgment device, and sends the third electrocardiosignal potential monitoring data to a potential detection interface of the electrocardiosignal judgment device;
when the electrocardio frequency interface judges that abnormality exists in the waveform data of the third electrocardio signal waveform monitoring data, the electrocardio frequency interface sends the third electrocardio signal waveform monitoring data to an electrocardio amplitude interface;
when the electrocardio amplitude interface determines that the third electrocardio signal waveform monitoring data is abnormal, determining that an abnormal judgment result of the third electrocardio signal waveform monitoring data is an electrocardio waveform abnormality;
and when the potential detection interface determines that the third electrocardiosignal potential monitoring data is abnormal, determining that an abnormal judgment result of the third electrocardiosignal potential monitoring data is an electrocardiosignal potential abnormality.
Further, the electrocardiosignal judgment device sends the electrocardiosignal abnormality judgment result to the electrocardiosignal early warning device, and the electrocardiosignal early warning device sends an early warning result according to the electrocardiosignal abnormality judgment result, specifically comprising:
when the abnormal judgment result of the first electrocardiosignal monitoring data is that the electrocardiosignal is abnormal, a first early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the second electrocardiosignal monitoring data is that the electrocardiosignal is abnormal, a second early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is not abnormal, a third early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is not abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is abnormal, a fourth early warning strategy is adopted to carry out early warning and reminding in a hospital;
and when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is abnormal, a fifth early warning strategy is adopted to carry out early warning and reminding in a hospital.
Further, the adoption of the first early warning strategy to early warning and reminding the hospital further comprises:
acquiring scene alarm reminding of obesity and abnormal heart, and sending consultation early warning to an obesity department and a cardiovascular department;
the adoption of the second early warning strategy to carry out early warning reminding in the hospital further comprises:
acquiring scene alarm reminding of heating and abnormal heart, and sending consultation early warning to a heating department and a cardiovascular department;
the adoption of the third early warning strategy to early warn and remind the hospital further comprises:
acquiring scene alarm reminding of blood diseases and abnormal heart, sending out inquiry early warning to a blood vessel department, and sending out pre-consultation alarm to the blood vessel department;
the adoption of the fourth early warning strategy for early warning and reminding in the hospital further comprises:
acquiring scene alarm reminding of blood diseases and abnormal heart, sending out inquiry early warning to a blood department, and sending out pre-consultation alarm to the blood vessel department;
the adoption of the fifth early warning strategy to early warn and remind the hospital further comprises:
acquiring alarm reminding of a scene of blood diseases and abnormal heart, and sending consultation early warning to a blood department and a cardiovascular department.
In this embodiment, each scene alarm reminding refers to a mapping relation between related diseases and the alarm degree of abnormal heart scenes;
for example: the scene alarm reminding aiming at obesity and heart abnormality is as follows: when the BMI index is larger than 29 and not larger than 35, the warning degree is urgent, and when the BMI index is larger than 35, the warning degree is critical.
The scene alarm reminding aiming at heating and abnormal heart is as follows: when the temperature index is greater than 36.8 degrees and not greater than 38 degrees, the warning degree is urgent, and when the temperature index is greater than 38 degrees, the warning degree is critical;
the scene alarm reminding aiming at hematopathy and abnormal heart is as follows: comparing the lactate dehydrogenase in blood with a standard value, when the deviation between the lactate dehydrogenase and the standard value is more than 5%, the warning degree is urgent, and when the deviation is more than 10%, the warning degree is critical.
According to the alarm condition degree under the alarm reminding of different scenes, different alarm forms, such as different color indicator lamps or sound alarms, are adopted when consultation or pre-consultation alarms are sent to different departments.
Those skilled in the art will appreciate that various modifications and improvements can be made to the disclosure. For example, the various devices or components described above may be implemented in hardware, or may be implemented in software, firmware, or a combination of some or all of the three.
A flowchart is used in this disclosure to describe the steps of a method according to an embodiment of the present disclosure. It should be understood that the steps that follow or before do not have to be performed in exact order. Rather, the various steps may be processed in reverse order or simultaneously. Also, other operations may be added to these processes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the methods described above may be implemented by a computer program to instruct related hardware, and the program may be stored in a computer readable storage medium, such as a read only memory, a magnetic disk, or an optical disk. Alternatively, all or part of the steps of the above embodiments may be implemented using one or more integrated circuits. Accordingly, each module/unit in the above embodiment may be implemented in the form of hardware, or may be implemented in the form of a software functional module. The present disclosure is not limited to any specific form of combination of hardware and software.
Unless defined otherwise, all terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The foregoing is illustrative of the present disclosure and is not to be construed as limiting thereof. Although a few exemplary embodiments of this disclosure have been described, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of this disclosure. Accordingly, all such modifications are intended to be included within the scope of this disclosure as defined in the claims. It is to be understood that the foregoing is illustrative of the present disclosure and is not to be construed as limited to the specific embodiments disclosed, and that modifications to the disclosed embodiments, as well as other embodiments, are intended to be included within the scope of the appended claims. The disclosure is defined by the claims and their equivalents.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.

Claims (8)

1. The wireless transmission split type electrocardiograph monitoring system is characterized by comprising an electrocardiograph signal acquisition device, a communication device and a server, wherein the server comprises an electrocardiograph signal extraction device, an electrocardiograph signal judgment device and an electrocardiograph signal early warning device;
the electrocardiosignal acquisition device is worn by a person under guardianship, and acquires electrocardiosignal original data of the person under guardianship according to personnel conditions of the person under guardianship;
the electrocardiosignal acquisition device sends the electrocardiosignal original data to the electrocardiosignal extraction device through the communication device, and the electrocardiosignal extraction device extracts the potential and the waveform of the electrocardiosignal original data to obtain electrocardiosignal monitoring data;
the electrocardiosignal extraction device sends electrocardiosignal monitoring data to the electrocardiosignal judgment device, and the electrocardiosignal judgment device judges whether the electrocardiosignal monitoring data is abnormal according to a preset electrocardiosignal abnormal state table to obtain an electrocardiosignal abnormal judgment result;
the electrocardiosignal judgment device sends the electrocardiosignal abnormality judgment result to the electrocardiosignal early warning device, and the electrocardiosignal early warning device sends an early warning result according to the electrocardiosignal abnormality judgment result.
2. The wireless transmission split electrocardiograph monitoring system according to claim 1, wherein the electrocardiograph signal acquisition device is worn by a monitored person, and the electrocardiograph signal acquisition device acquires electrocardiograph signal raw data of the monitored person according to personnel conditions of the monitored person, specifically comprising:
the monitored person performs physical examination in the monitored person before wearing the electrocardiosignal acquisition device to obtain a physical examination result;
when the physical examination result shows that the monitored person has a first index abnormality, the electrocardiosignal acquisition device acquires first electrocardiosignal original data of the monitored person according to a first period;
when the physical examination result shows that the monitored person has a second index abnormality, the electrocardiosignal acquisition device acquires second electrocardiosignal original data of the monitored person according to a second period;
when the physical examination result shows that the monitored person has a third index abnormality, the electrocardiosignal acquisition device acquires third electrocardiosignal original data of the monitored person according to a third period;
the first period is greater than the second period, and the second period is greater than the third period;
the first index abnormality is a BMI index greater than 29, the second index abnormality is a temperature index abnormality, and the third index abnormality is a myocardial enzyme index abnormality in blood.
3. The wireless transmission split electrocardiograph monitoring system according to claim 2, wherein the electrocardiograph signal acquisition device sends the electrocardiograph signal raw data to the electrocardiograph signal extraction device through the communication device, the electrocardiograph signal extraction device extracts electric potential and waveform of the electrocardiograph signal raw data to obtain electrocardiograph signal monitoring data, and the wireless transmission split electrocardiograph monitoring system further comprises:
when the electrocardiosignal original data is first electrocardiosignal original data, the electrocardiosignal extraction device carries out waveform extraction on the first electrocardiosignal original data to obtain first electrocardiosignal monitoring data;
when the electrocardiosignal original data is second electrocardiosignal original data, the electrocardiosignal extraction device performs potential extraction on the second electrocardiosignal original data to obtain second electrocardiosignal monitoring data;
and when the electrocardiosignal original data is third electrocardiosignal original data, the electrocardiosignal extraction device extracts the potential and the waveform of the third electrocardiosignal original data to obtain third electrocardiosignal monitoring data.
4. The wireless transmission split electrocardiograph monitoring system according to claim 3, wherein the electrocardiograph signal extracting device sends electrocardiograph signal monitoring data to the electrocardiograph signal judging device, and the electrocardiograph signal judging device judges whether the electrocardiograph signal monitoring data is abnormal according to a preset electrocardiograph signal abnormal state table, so as to obtain an electrocardiograph signal abnormal judging result, and the wireless transmission split electrocardiograph monitoring system specifically comprises:
the electrocardiosignal judging device comprises an electrocardio frequency interface, an electrocardio amplitude interface and a potential detection interface;
the electrocardiosignal extraction device sends the first electrocardiosignal monitoring data to an electrocardiosignal frequency interface of the electrocardiosignal judgment device;
when the electrocardio frequency interface judges that abnormality exists in the waveform data of the first electrocardio signal monitoring data, the electrocardio frequency interface sends the first electrocardio signal monitoring data to an electrocardio amplitude interface;
and when the electrocardio amplitude interface determines that the first electrocardio signal monitoring data is abnormal, determining that an abnormal judgment result of the first electrocardio signal monitoring data is an electrocardio waveform abnormality.
5. The wireless transmission split electrocardiograph monitoring system according to claim 4, wherein the electrocardiograph signal extracting device sends electrocardiograph signal monitoring data to the electrocardiograph signal judging device, the electrocardiograph signal judging device judges whether the electrocardiograph signal monitoring data is abnormal according to a preset electrocardiograph signal abnormal state table, and obtains an electrocardiograph signal abnormal judging result, and the wireless transmission split electrocardiograph monitoring system further comprises:
the electrocardiosignal extraction device sends the second electrocardiosignal monitoring data to a potential detection interface of the electrocardiosignal judgment device;
and when the potential detection interface determines that the second electrocardiosignal monitoring data is abnormal, determining that the result of the abnormality determination of the second electrocardiosignal monitoring data is an electrocardiosignal abnormality.
6. The wireless transmission split electrocardiograph monitoring system according to claim 5, wherein the electrocardiograph signal extracting device sends electrocardiograph signal monitoring data to the electrocardiograph signal judging device, the electrocardiograph signal judging device judges whether the electrocardiograph signal monitoring data is abnormal according to a preset electrocardiograph signal abnormal state table, and obtains an electrocardiograph signal abnormal judging result, and the wireless transmission split electrocardiograph monitoring system further comprises:
the electrocardiosignal extraction device divides the third electrocardiosignal monitoring data into third electrocardiosignal waveform monitoring data and third electrocardiosignal potential monitoring data, sends the third electrocardiosignal waveform monitoring data to an electrocardiosignal frequency interface of the electrocardiosignal judgment device, and sends the third electrocardiosignal potential monitoring data to a potential detection interface of the electrocardiosignal judgment device;
when the electrocardio frequency interface judges that abnormality exists in the waveform data of the third electrocardio signal waveform monitoring data, the electrocardio frequency interface sends the third electrocardio signal waveform monitoring data to an electrocardio amplitude interface;
when the electrocardio amplitude interface determines that the third electrocardio signal waveform monitoring data is abnormal, determining that an abnormal judgment result of the third electrocardio signal waveform monitoring data is an electrocardio waveform abnormality;
and when the potential detection interface determines that the third electrocardiosignal potential monitoring data is abnormal, determining that an abnormal judgment result of the third electrocardiosignal potential monitoring data is an electrocardiosignal potential abnormality.
7. The wireless transmission split electrocardiograph monitoring system according to claim 6, wherein the electrocardiograph signal judging device sends the electrocardiograph signal abnormality judging result to the electrocardiograph signal early warning device, and the electrocardiograph signal early warning device sends an early warning result according to the electrocardiograph signal abnormality judging result, specifically comprising:
when the abnormal judgment result of the first electrocardiosignal monitoring data is that the electrocardiosignal is abnormal, a first early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the second electrocardiosignal monitoring data is that the electrocardiosignal is abnormal, a second early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is not abnormal, a third early warning strategy is adopted to carry out early warning and reminding in a hospital;
when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is not abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is abnormal, a fourth early warning strategy is adopted to carry out early warning and reminding in a hospital;
and when the abnormal judgment result of the third electrocardiosignal waveform monitoring data is that the electrocardiosignal waveform is abnormal and the abnormal judgment result of the third electrocardiosignal potential monitoring data is that the electrocardiosignal potential is abnormal, a fifth early warning strategy is adopted to carry out early warning and reminding in a hospital.
8. The wireless-transmission split electrocardiographic monitoring system of claim 7, wherein:
the adoption of the first early warning strategy to early warn and remind the hospital further comprises:
acquiring scene alarm reminding of obesity and abnormal heart, and sending consultation early warning to an obesity department and a cardiovascular department;
the adoption of the second early warning strategy to carry out early warning reminding in the hospital further comprises:
acquiring scene alarm reminding of heating and abnormal heart, and sending consultation early warning to a heating department and a cardiovascular department;
the adoption of the third early warning strategy to early warn and remind the hospital further comprises:
acquiring scene alarm reminding of blood diseases and abnormal heart, sending out inquiry early warning to a blood vessel department, and sending out pre-consultation alarm to the blood vessel department;
the adoption of the fourth early warning strategy for early warning and reminding in the hospital further comprises:
acquiring scene alarm reminding of blood diseases and abnormal heart, sending out inquiry early warning to a blood department, and sending out pre-consultation alarm to the blood vessel department;
the adoption of the fifth early warning strategy to early warn and remind the hospital further comprises:
acquiring alarm reminding of a scene of blood diseases and abnormal heart, and sending consultation early warning to a blood department and a cardiovascular department.
CN202310849996.2A 2023-07-12 2023-07-12 Wireless transmission split type electrocardiograph monitoring system Active CN116548981B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310849996.2A CN116548981B (en) 2023-07-12 2023-07-12 Wireless transmission split type electrocardiograph monitoring system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310849996.2A CN116548981B (en) 2023-07-12 2023-07-12 Wireless transmission split type electrocardiograph monitoring system

Publications (2)

Publication Number Publication Date
CN116548981A true CN116548981A (en) 2023-08-08
CN116548981B CN116548981B (en) 2023-09-08

Family

ID=87498694

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310849996.2A Active CN116548981B (en) 2023-07-12 2023-07-12 Wireless transmission split type electrocardiograph monitoring system

Country Status (1)

Country Link
CN (1) CN116548981B (en)

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1073349A (en) * 1991-12-18 1993-06-23 航空航天工业部第613研究所 Pocket electrocardio-monitor
JP2009112625A (en) * 2007-11-08 2009-05-28 Almedio Inc Cardiotachometer
CN102068239A (en) * 2010-12-08 2011-05-25 浙江大学 Method for intelligently acquiring physiological information in body sensor network
CN107811611A (en) * 2017-10-18 2018-03-20 杭州三盛绿域科技有限公司 Abnormal physiology data alarm interfering system and method
CN108320790A (en) * 2018-01-25 2018-07-24 浙江大学 Managerial System of Medical Equipment
CN108335744A (en) * 2018-04-03 2018-07-27 江苏大学附属医院 A kind of emergency cardiovascular care network system and its method for early warning of classifying
CN108938011A (en) * 2018-06-28 2018-12-07 军事科学院军事医学研究院环境医学与作业医学研究所 A kind of test of multi-environment lower determining female physiological periodicity and guidance method and system
CN109171686A (en) * 2018-09-27 2019-01-11 长春奥普光电技术股份有限公司 A kind of wearable Medical Devices of intelligence and Portable household real-time monitoring system
CN109363649A (en) * 2018-11-29 2019-02-22 浙江清华柔性电子技术研究院 Physiological compensation effects clothes and method
EP3449828A1 (en) * 2017-08-28 2019-03-06 INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência Method and device for detecting stress using beat-to-beat ecg features
CN113520340A (en) * 2020-04-15 2021-10-22 华为技术有限公司 Sleep report generation method, device, terminal and storage medium
CN114097253A (en) * 2019-12-31 2022-02-25 深圳迈瑞生物医疗电子股份有限公司 Portable monitoring equipment, remote monitoring center and medical monitoring method
US20220330872A1 (en) * 2021-04-16 2022-10-20 Atsens Co., Ltd. Bio-signal measuring apparatus for detecting abnormal signal section in electrocardiogram data by using heart sound data related to electrocardiogram data, and bio-signal measuring method
US20220400967A1 (en) * 2021-06-21 2022-12-22 GE Precision Healthcare LLC Noninvasive blood pressure monitoring system and method
US20230068131A1 (en) * 2021-08-27 2023-03-02 Medtronic, Inc. Two stage risk assessment for predicting imminent acute cardiac episodes

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1073349A (en) * 1991-12-18 1993-06-23 航空航天工业部第613研究所 Pocket electrocardio-monitor
JP2009112625A (en) * 2007-11-08 2009-05-28 Almedio Inc Cardiotachometer
CN102068239A (en) * 2010-12-08 2011-05-25 浙江大学 Method for intelligently acquiring physiological information in body sensor network
EP3449828A1 (en) * 2017-08-28 2019-03-06 INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência Method and device for detecting stress using beat-to-beat ecg features
CN107811611A (en) * 2017-10-18 2018-03-20 杭州三盛绿域科技有限公司 Abnormal physiology data alarm interfering system and method
CN108320790A (en) * 2018-01-25 2018-07-24 浙江大学 Managerial System of Medical Equipment
CN108335744A (en) * 2018-04-03 2018-07-27 江苏大学附属医院 A kind of emergency cardiovascular care network system and its method for early warning of classifying
CN108938011A (en) * 2018-06-28 2018-12-07 军事科学院军事医学研究院环境医学与作业医学研究所 A kind of test of multi-environment lower determining female physiological periodicity and guidance method and system
CN109171686A (en) * 2018-09-27 2019-01-11 长春奥普光电技术股份有限公司 A kind of wearable Medical Devices of intelligence and Portable household real-time monitoring system
CN109363649A (en) * 2018-11-29 2019-02-22 浙江清华柔性电子技术研究院 Physiological compensation effects clothes and method
CN114097253A (en) * 2019-12-31 2022-02-25 深圳迈瑞生物医疗电子股份有限公司 Portable monitoring equipment, remote monitoring center and medical monitoring method
CN113520340A (en) * 2020-04-15 2021-10-22 华为技术有限公司 Sleep report generation method, device, terminal and storage medium
US20220330872A1 (en) * 2021-04-16 2022-10-20 Atsens Co., Ltd. Bio-signal measuring apparatus for detecting abnormal signal section in electrocardiogram data by using heart sound data related to electrocardiogram data, and bio-signal measuring method
US20220400967A1 (en) * 2021-06-21 2022-12-22 GE Precision Healthcare LLC Noninvasive blood pressure monitoring system and method
US20230068131A1 (en) * 2021-08-27 2023-03-02 Medtronic, Inc. Two stage risk assessment for predicting imminent acute cardiac episodes

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SCHULLER, HANS AND LINDGREN, ANDERS: "Implantable medical device with lead failure detection", 《OFFICIAL GAZETTE OF THE UNITED STATES PATENT AND TRADEMARK OFFICE PATENTS》 *
赵霞;李小华;田燕;刘晓辉;: "重症监护病房临床信息系统的应用", 中国数字医学, no. 02 *

Also Published As

Publication number Publication date
CN116548981B (en) 2023-09-08

Similar Documents

Publication Publication Date Title
Devi et al. Machine learning and IoT-based cardiac arrhythmia diagnosis using statistical and dynamic features of ECG
Sankari et al. HeartSaver: A mobile cardiac monitoring system for auto-detection of atrial fibrillation, myocardial infarction, and atrio-ventricular block
Lin et al. An intelligent telecardiology system using a wearable and wireless ECG to detect atrial fibrillation
Fallet et al. Can one detect atrial fibrillation using a wrist-type photoplethysmographic device?
Park et al. Arrhythmia detection from heartbeat using k-nearest neighbor classifier
Orphanidou Signal quality assessment in physiological monitoring: state of the art and practical considerations
Wen et al. A feasible feature extraction method for atrial fibrillation detection from BCG
JP2014100473A (en) Remote disease management apparatus and remote disease management method, and radio sensor
Neha et al. Arrhythmia detection and classification using ECG and PPG techniques: A review
JP2011509114A (en) System, method and apparatus for predicting sudden cardiac death risk
Cai et al. Rule-based rough-refined two-step-procedure for real-time premature beat detection in single-lead ECG
Rajeswari et al. A review on remote health monitoring sensors and their filtering techniques
CN116548981B (en) Wireless transmission split type electrocardiograph monitoring system
JP7318160B2 (en) A non-invasive method for device-based atrial arrhythmia monitoring and server-based characterization
WO2012001719A1 (en) A portable pulseoximeter for a direct and immediate automated evaluation of the cardiac rhythm (regularity) and related method
Conn et al. Nontraditional electrocardiogram and algorithms for inconspicuous in-home monitoring: comparative study
US20230062753A1 (en) Apparatus and method for electrocardiogram ("ecg") signal analysis and artifact detection
Abualsaud et al. A new wearable ECG monitor evaluation and experimental analysis: proof of concept
Whiting et al. Recognising cardiac abnormalities in wearable device photoplethysmography (PPG) with deep learning
US9192315B2 (en) Patient signal analysis and characterization based on late potentials
Basavaraddi et al. Employing Cloud-Integrated Neural Network for Prediction of Heart Disease Using Advanced Telemedicine Solutions
Ittatirut et al. Detection of premature ventricular contraction for real-time applications
Tuyen et al. The atrial fibrillation episodes alarm algorithm for a remote monitoring system
Gao et al. Representative databases for feature engineering and computational intelligence in ECG processing
CN106137245A (en) A kind of auscultation method with reference to multiple cardiographic detector signal analysis

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
GR01 Patent grant