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Using a Calculated Pulse Rate with an Artificial Neural Network to Detect Irregular Interbeats.
1Department of Electrical Engineering, Chang Gung University, Taiwan, Republic of China. bih.chyun.yeh@gmail.com.
Journal of Medical Systems
|December 9, 2015
Summary
This study introduces an artificial neural network for detecting irregular heartbeats using pulse rate calculations. The system alerts clinicians to danger, achieving under 3% error in participants.
Area of Science:
- Biomedical Engineering
- Cardiology
- Artificial Intelligence
Background:
- Heart rate monitoring is vital for diagnosing and predicting diseases.
- Accurate detection of irregular heartbeats is critical in clinical settings.
Purpose of the Study:
- To develop an artificial neural network system for detecting irregular interbeats.
- To provide clinicians with timely warnings for irregular heartbeats.
Main Methods:
- An artificial neural network was designed to analyze calculated pulse rates.
- The system identifies
- irregular interbeat on
- or
- irregular interbeat off
- events.
- A flowchart of the software was included.
Main Results:
- The system achieved an error rate of less than 3% in 20 participants across a wide age range.
- Irregular interbeats were detected in eight participants.
- The system successfully differentiated between regular and irregular heartbeats.
Conclusions:
- The proposed artificial neural network effectively detects irregular interbeats using pulse rate.
- The system's danger warning capability is valuable for clinical practice.
- This technology offers a promising tool for real-time cardiac monitoring.
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