Application of Blood Flow Velocity Study based on Electromagnetic

Flowmeter in the Treatment of Cerebral Infarction

Xuejing Li

1,2

, Jinchuan Wu

1,2

, Huichen Zhu

1,2

, Zhenghao Lin

1,2

, Zhongli Zhang

1,2*

and Lujia Tang

3,*

Shanghai Institute of Measurement and Testing Technology, Shanghai, China

Shanghai Key Laboratory of On-line Testing and Control Technology, Shanghai, China

Emergency Department, Xin Hua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China

Keywords: Blood Flow Rate, Cardiovascular Disease, Electromagnetic Folwmeter.

Abstract: Epidemiological studies on people infected with novel coronavirus have found that patients with underlying

diseases, especially cardiovascular diseases, account for the first place in mortality. The treatment effect of

cardiovascular diseases is proportional to time, and the more timely the discovery and treatment, the higher

the success rate of cure. Because of the special requirements for medical procedures during the COVID-19,

the monitoring before the onset of the disease is particularly important. This study aims to conduct long-

term monitoring of blood flow velocity and predict the condition of cardiovascular disease based on the

monitoring results, which is of great significance for effective treatment time and provides strong reference

for improving the medical level of cardiovascular disease in the future.

INTRODUCTION

Cardiovascular disease is one of the leading causes

of death in China. According to statistics, there are

290 million people affected by cardiovascular

disease in China (Stevens, 2016), more than cancer.

According to statistical analysis, the highest

mortality rate of cardiovascular disease in more than

200 diseases in nearly 200 countries around the

world is myocardial infarction (Eisen A- Le May

MR). Acute myocardial infarction (AMI) is

myocardial necrosis caused by acute and persistent

ischemia and hypoxia of coronary artery, which is an

important manifestation of coronary heart disease.

Chest pain is the most common symptom of

cardiovascular disease (CVD). Consultations for

myocardial infarction in the emergency department

account for 10 % of the emergency department

(Berger PB - Mc Namara RL), and acute ST-

segment elevation myocardial infarction (STEMI)

patients are more significant in myocardial

infarction. Long term monitoring of blood flow

velocity and analysis of monitoring results can

provide useful references for the prevention and

control of ischemic stroke. The model studied in this

article is not only simple, but also has strong

operability characteristics, and has the value of

promoting to society.

The chest pain center was first established in the

United States, founded by the St. ANGLE Hospital

in Baltimore, and then appeared in France, Britain,

Canada, Germany and other developed countries. It

was not until 2011 that China established the first

batch of chest pain centers recognized by the SCPC.

The purpose of establishing a chest pain center is to '

send patients with acute chest pain to hospitals with

treatment capacity and receive the best treatment in

the shortest possible time '. The outbreak of

coronavirus disease 2019 (COVID-19) has brought

severe challenges to the diagnosis and treatment of

STEMI patients undergoing emergency PCI in chest

pain center. On the one hand, COVID-19 poses a

great threat to medical staff. On the other hand, the

screening and infection control procedures required

to reduce the nosocomial transmission of COVID-19

may seriously delay the PCI time and have a

negative impact on the prognosis of patients.

DATA AND OBJECTS OF

PAPER

2.1 Research Object

The data of Shanghai Chest Pain Center from 2019

to 2021 were collected. In order to more clearly

Li, X., Wu, J., Zhu, H., Lin, Z., Zhang, Z. and Tang, L.

Application of Blood Flow Velocity Study Based on Electromagnetic Flowmeter in the Treatment of Cerebral Infarction.

DOI: 10.5220/0012278800003807

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 2nd International Seminar on Artiﬁcial Intelligence, Networking and Information Technology (ANIT 2023), pages 233-236

ISBN: 978-989-758-677-4

233

analyze the results according to the outbreak of the

epidemic, grouped by time. Patients from January

2019 to December 2019 were divided into pre-

epidemic group A (n = 222), and patients from

January 2020 to December 2021 were divided into

epidemic group B (n = 190). The pre-epidemic

group was again divided into group A1 (self-

admission group, n = 131) and group A2 (120

admission, n = 91). The epidemic group was divided

into group B1 (self-admission group, n = 112) and

group B2 (120 admission, n = 78).

Compared with before the epidemic, patients

need to complete the examination of the new

coronavirus before treatment and carry out shunt

treatment according to the examination results, as

shown in Fig.1.

Chest pain

patients

Self-treatment

120 sent for

treatment

Whether there are fever

symptoms

Screening for COVID-19

infections

No fever and respiratory

symptoms

Have fever symptoms and

respiratory symptoms

Chest pain emergency

Co nven tional th erap y

Special fever clinic

COVID-19 disease

Fever patients with definite

etiology or low possibility of

COVID-19 infection

To investig ate suspected patients with

COVID-19 based on the sym ptoms and

epidemiological history.

Lsolation and further

examination

Transferred to epidemic

designated hospital for

treatment

Exclusion of COVID-19

patients

Yes

Figure 1: Flow chart of triage treatment.

2.2 Analysis of the Influence of Blood

Flow Velocity

Because the data sources are extensive and diverse,

two variables related to coronary heart disease,

cerebral infarction and cerebral blood flow velocity

are extracted from the preprocessed database. The

multivariate features were extracted and represented

as binary vectors to compare the effects of novel

coronavirus infection on blood flow velocity in

patients with coronary heart disease and cerebral

infarction.

Figure 2: Characteristics of cerebral blood flow velocity in

patients with coronary heart disease.

Figure 3: Effect of coronary heart disease on cerebral

blood flow velocity.

According to Figures 2 and 3, A history of

coronary heart disease and cerebral infarction has a

more significant impact on minimum blood flow

velocity.

The minimum blood flow velocity of patients

with a history of coronary heart disease and cerebral

infarction is higher than that of normal individuals.

3 COMPARISON OF

TREATMENT-RELATED TIME

NODES

3.1 Research Method

The measurement data of normal distribution were

expressed as (x ± s), and the comparison between

groups was performed by independent sample t test.

The measurement data is expressed as [M (Q1-Q3)]

and is a non normal distribution. The study used

Mann Whitney rank sum test for inter group

comparison. Where [n (%)] represents counting data.

Comparison between groups using χ 2 Inspection.

ANIT 2023 - The International Seminar on Artiﬁcial Intelligence, Networking and Information Technology

234

3.2 Data Statistics

Table 1: Hospitalization days and cost table before and

after the epidemic.

item Before the

idemic

After the

idemic

hospital days（d）

7.96±2.12 8.57±2.58 Self-

treatment

Hospitalization expenses

(

ten thousand

uan

)

5.96±0.57 6.37±1.27

Dru

ortion

(

)

4.88 7.53

hospital days（d）

8.34±2.46 8.76±1.98 120 sent for

treatment

Hospitalization expenses

(

ten thousand

uan

)

6.07±0.34 6.77±1.08

Drug proportion ( % ) 5.88 6.93

The treatment time is very valuable for patients with

chest pain. Here, the time required for medical

contact to complete the first electrocardiogram,

detection of troponin, entry of a guide wire, catheter

room activation test ( x ± s, min ) after self-service

and 120 admissions were compared and analyzed.

Table 2: Time node analysis.

item Before the

idemic

After the

idemic

Medical contact to

complete the first

electrocardio

5.8±0. 43 9.6±0.63 0.009 Self-

treatment

Detection of troponin 8.6±0.41 20±0.54 0. 016

Introduction A guide

wire

82.5±12.8

85.7±14.34 0.023

cardiac catheterization

laborator

activations

21.2±8.52 26.3±9.75 0.043

Medical contact to

complete the first

electrocardio

5.2±2.59 8.7±4.06 0.020

120 sent

for

treatment

Detection of tro

onin 7.9±0.89 21±19.64 0.045

Introduction A guide

wire

89.2±12.3

105.2±30.0

0.039

cardiac catheterization

laborator

activations

26.8±11.2

27.5±13.65 0.047

By comparing the test time shown in Table1 and 2, it

can be seen that the novel coronavirus epidemic has

indeed prolonged the time of diagnosis and

treatment. The reasons for the analysis are as follows:

(1) In order to avoid nosocomial infection, the

time of shunt treatment increased, as shown in Fig.4.

(2) Some patients, usually do not pay attention to

their chronic underlying diseases, until the symptoms

of life crisis to the hospital, resulting in increased

hospital staff.

(3) Some doctors can 't work because of the

epidemic.

4 CONCLUSION

In this paper, during the COVID-19 pandemic, the

number of severe cases of chest pain has been on the

rise, and the number of deaths has gradually

increased. The main reason is that severe cases of

COVID-19 have severe respiratory distress

syndrome, or even respiratory failure. According to

research data, it can be inferred that

(1) Patients with a history of coronary heart

disease and cerebral infarction have significantly

different blood flow velocities compared to healthy

individuals. The development of stroke can be

indirectly obtained based on changes in blood flow

velocity;

(2) The minimum blood flow velocity of patients

with coronary heart disease and cerebral infarction is

usually lower than that of non diseased patients, so

special attention should be paid to changes in the

minimum blood flow velocity during monitoring. It

is worth noting that if the patient takes anticoagulant

drugs, the monitoring results may be affected.

On the basis of analyzing the blood flow rate,

the patient 's medical time before and after the

epidemic was analyzed. The hospitalization time,

cost and time node were compared. The results

showed that the chest pain examination time during

the epidemic was longer than that before the

epidemic. Effective monitoring of blood flow

velocity in patients with chronic underlying diseases

is of great significance to avoid severe chest pain

and even death.

ACKNOWLEDGMENTS

This work was supported by the Science and

technology project of Shanghai market supervision

and Administration Bureau (Development of a

dynamic calibration device for the BP measurement

devices using the oscillometric method) No.2022-

03and (Research on online multi-parameter

measurement method and device of gas-water two-

phase flow based on IFT) No. 2022-06. This work

was also supported by the Shanghai Institute of

Measurement and Testing Technology Research

Project:E00RY2303 and E00RY2304).

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