Singapore development system can more accurately measure the risk of cardiac arrest in patients

Release date: 2010-10-18



Half of the patients who go to the emergency department of the hospital for help are heart disease, stroke or severely injured acute patients. Currently, doctors and nurses can only identify which patients are likely to be diagnosed by means of consultation, measurement of pulse and blood pressure. A violent heart beats a high-risk patient and needs priority treatment.
Researchers at the Singapore Central Hospital and Nanyang Technological University have developed a new system that more accurately measures the risk of cardiac arrest in patients, which helps emergency doctors determine which patients need to be sent immediately to the Intensive Care unit or operating room for emergency treatment.
The point is that this system is not complicated. The doctor simply places the electrode on the patient's arm for about five minutes to collect the patient's ECG readings. The system can calculate the patient's risk of cardiac arrest within 72 hours in conjunction with other patient data such as pulse and blood pressure.
In November 2006 and December 2007, the researchers tested 425 patients who were seeking help from the emergency department of the Central Hospital and suspected of having cardiovascular disease. The results showed that the system was 66.7% accurate, compared to measuring pulse, breathing, and The accuracy of the vital signs such as blood pressure is higher than a full 25 percentage points.
Dr. Yingying Wang, an emergency medical specialist at the Singapore General Hospital, told the media about the new system earlier yesterday that they mainly included data on heart rate variability (HRV) to enhance the accuracy of predicting the risk of cardiac arrest in patients. .
Heart rate variability is mainly to measure the degree of change in heart rate and frequency. Dr. Wang pointed out that just as the obstetrician and gynaecologist responsible for delivery will interpret heart rate variability through fetal electrocardiogram to determine whether the fetus has been in a fetal distress state, whether it is necessary to help pregnant women with emergency caesarean section, and the heart rate variability of adult ECG It is also an important clue to predict whether the patient will stop heartbeat.
The problem is that it is not easy to interpret heart rate variability, and no researchers have ever delved into the correlation between heart rate variability and some clinical outcomes.
Dr. Yingying Wang and Associate Professor Lin Zhiping of NTU School of Electrical and Electronic Engineering and a team of nearly 10 research teams have developed a system that can effectively interpret and analyze the risk of cardiac arrest in patients.
Associate Professor Lin Zhiping likened this system to a car navigation system that leads people.
He pointed out that in the past doctors could only assess the risk of cardiac arrest by experience, and now the system will be a tool to help assess risk more accurately.
Dr. Yingying Wang revealed that they are applying for patent rights for the system and are also working with merchants to develop a portable system prototype. Now they still need to use the laptop operating system, but they are expected to shrink the system to the size of the tissue box.
The research team will present their findings tomorrow at a scientific seminar hosted by the Singapore Health Services Group and the Duke-NUS Graduate School of Medicine.

Source: United Morning Post

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