How Can I Detect the QRS Complex of an ECG Byte Array in Java?

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  • Thread starter ShahKhalid
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In summary: There is not a standardized format for storing ECG data. Each device may store the data in a different format. In summary, you need to find a compatible format for your data.
  • #1
ShahKhalid
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HI
i read ecg byte array from file.now i want to detect QRS of read ecg byte. how can i achieve this in java.Is there any generalized formula or any thing from where i can easiliy calculate this?

i get byte array from Lifegain defibrilator(an ecg device).i draw ecg on android from these bytes.now i want to detect QRS complex(term used for calculation of time and voltage of a wave of one heart beat).DATA=LeadData":"-284,-127,-122,17,-35,10,32,10,52,16,49,33,38,69,70,58,45,93,47,88,58,90,149,5,82,-12,-4,40,-34,29,-29,5,-4,-17,-13,-29,-13,-4,-9,-9,-10,-20,-15,-22,-32,-25,-23,-2,-15,-7,-13,-19,-17,-28,-27,-27,-33,-20,-16,-13,-20,-10,-22,-20,-19,-28,-15,-19,-22,-21,-9,-3,-6,-8,-6,-11,-8,-8,-5,-10,-5,-6,-9,-4,-6,3,20,3,14,7,11,10,5,11,5,10,2,10,13,14"

Any help would be highly appreciated.
Regards,

shah
 
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  • #2
ShahKhalid said:
HI
i read ecg byte array from file.now i want to detect QRS of read ecg byte. how can i achieve this in java.Is there any generalized formula or any thing from where i can easiliy calculate this?

i get byte array from Lifegain defibrilator(an ecg device).i draw ecg on android from these bytes.now i want to detect QRS complex(term used for calculation of time and voltage of a wave of one heart beat).DATA=LeadData":"-284,-127,-122,17,-35,10,32,10,52,16,49,33,38,69,70,58,45,93,47,88,58,90,149,5,82,-12,-4,40,-34,29,-29,5,-4,-17,-13,-29,-13,-4,-9,-9,-10,-20,-15,-22,-32,-25,-23,-2,-15,-7,-13,-19,-17,-28,-27,-27,-33,-20,-16,-13,-20,-10,-22,-20,-19,-28,-15,-19,-22,-21,-9,-3,-6,-8,-6,-11,-8,-8,-5,-10,-5,-6,-9,-4,-6,3,20,3,14,7,11,10,5,11,5,10,2,10,13,14"

Any help would be highly appreciated.
Regards,

shah

Can you assume that the EKG rhythm is a normal sinus rhythm? Or do you need to accommodate the various dysrhythmias? Finding the QRS complex in some dysrhythmias can be quite a challenge for software (if the QRS complex is there at all)...

http://en.wikipedia.org/wiki/Cardiac_dysrhythmia

.
 
  • #3
Which lead are you using? Interpreting an ECG depends on which lead is being used. Most people are familiar with lead I, but there can be up to 6 leads used for diagnostic purposes.
 
  • #4
Hi,

I am using lead 2 of ecg to get data.
i have searchd on it a lot and found some code project also. For reference http://www.codeproject.com/Articles/4353/ECG-recording-storing-filtering-and-recognition
but i think it save data in its particular format.my data format is not compatible with its format.so this software does not detect QRS from my Data file/Array.my data array is like
data_array={-757,-671,-583,-500,-427,-343,-269,-208,-131,-61,-5,57,109,174,237,285,334,381,439,486,524,566,604,642,677,711,742,776,810,838,866,892,920,947,961,974,996,1019,1029,1037,1059,1067,1075,1090,1094,1103,1109,1109,1117,1121,1123,1125,1123,1124,1121,1114,1116,1106,1099,1102,1094,1081,1082,1081,1074,1069,1062,1055,1060,1057,1056,1063,1049,1054,1015,1040,1025,1020,1051,987,1083,964,1097,970,1050,1074,855,2088,1624,881,1067,1019,1036,926,1256,467,3321,7968,7933,7482};

i s there any standerd fromat for ecg data storage.so that that can be compatible for all.

Regards

Shah Khalid.
 
  • #5


Hello Shah,

Thank you for your question. Detecting the QRS complex in an ECG is a common task in cardiovascular research and clinical practice. In order to detect the QRS complex, you will need to use some signal processing techniques on the ECG data. There is no generalized formula for detecting the QRS complex, as it depends on the specific characteristics of the ECG and the signal processing methods used.

In Java, you can use libraries such as the Java DSP library or the Java ECG Toolkit to perform signal processing on your ECG data. These libraries have functions specifically designed for detecting the QRS complex.

One common method for detecting the QRS complex is by using a bandpass filter to isolate the frequency range of the QRS complex, and then using a peak detection algorithm to identify the peaks in this range. Another method is by using a template matching approach, where a template of the QRS complex is compared to the ECG data to identify similar patterns.

I recommend doing some research on signal processing techniques and exploring the functions available in the Java libraries mentioned above to find the best method for your specific data. I hope this helps, and good luck with your project!
 

What is the QRS complex of an ECG?

The QRS complex is a part of the electrical activity of the heart that can be seen on an electrocardiogram (ECG). It represents the depolarization, or contraction, of the ventricles, which are the lower chambers of the heart.

Why is it important to detect the QRS complex in an ECG?

Detecting the QRS complex is important because it provides information about the overall health and functioning of the heart. Changes in the QRS complex can indicate various heart conditions, such as arrhythmias or heart attacks.

How is the QRS complex detected in an ECG?

The QRS complex is detected by measuring the electrical activity of the heart through electrodes placed on the skin. As the heart beats, it produces electrical signals that are recorded by the ECG machine and displayed as a waveform on a graph.

What factors can affect the detection of the QRS complex?

Factors such as patient movement, poor electrode placement, and interference from external sources can affect the detection of the QRS complex on an ECG. It is important to ensure a quiet and still environment and properly placed electrodes for accurate results.

Can the QRS complex be used to diagnose specific heart conditions?

Yes, the QRS complex can provide important information for diagnosing various heart conditions. For example, the width and shape of the QRS complex can help identify specific types of arrhythmias, and changes in the QRS complex can indicate a heart attack or other cardiac issues.

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