雷塞克-失律症:ResNet架构的实证评估,用于检测失律症
Shams Ul Haq1, Sibghat Ullah Bazai1, Ali Fatima1
1Department of Computer Engineering, Balochistan University of Information Technology, Engineering, and Management Sciences (BUITEMS), Quetta 87300, Pakistan.
Diagnostics (Basel, Switzerland)
|September 28, 2023
概括
这项研究介绍了Reseek-Arrhythmia模型,这是一种用于准确检测和分类心律失常的深度学习方法. 它显著改进了现有的识别不规则心律的方法,提高了患者的护理.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 心律失常,心律不规律,是全球主要的健康问题,造成大约12%的死亡.
- 对于有效的,自动化的心律失常检测和分类方法的需求正在增长,这是由成本效益和更快的治疗潜力推动的.
- 在开发强大的自动化系统方面存在重大挑战,包括数据质量,细分,不平衡,患者变化和模型可解释性.
研究的目的:
- 提出一种新的深度学习模型,Reseek-Arrhythmia,用于自动检测和分类心律失常疾病.
- 解决自动化心律失常监测的关键挑战,包括数据质量,细分,失衡和患者变异.
- 利用深度学习技术,特别是卷积和身份块,以提高心律失常的识别.
主要方法:
- 开发了Reseek-Arrhythmia模型,集成卷积块,身份块,卷积层,批量规范化和激活层.
- 利用广泛认可的MIT-BIH和PTB数据集进行全面的模型培训和验证.
- 采用深度学习架构自动处理和分析心电图 (ECG) 数据以诊断心律失常.
主要成果:
- 在评估的数据集上,Reseek-Arrhythmia模型实现了高准确率99.35%和93.50%.
- 该模型显示可接受的损失值为0.688和0.2564,表明有效的学习和概括.
- 拟议的深度学习方法在准确检测和分类各种类型的心律失常方面显示出重大前景.
结论:
- 该Reseek-心律失常模型为自动心律失常检测和分类提供了一个强大而准确的解决方案.
- 深度学习技术在克服与分析心律数据相关的复杂性方面非常有效.
- 这项研究有助于推进人工智能驱动的心血管诊断,可能导致更早的干预和改善患者的治疗结果.
相关概念视频
01:30Dysrhythmias V: Evaluating Dysrhythmias
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Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
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01:28Disturbances in Heart Rhythm
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Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
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01:28Mechanism of Cardiac Arrhythmias
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Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
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01:30Pulse rhythm
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Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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