Nara Sanjeev, Kaur Manvinder, Datta Saurav
Department of Biomedical Engineering, Deenbandhu Chhotu Ram University of Science & Technology , Murthal, Haryana , India , and.
J Med Eng Technol. 2015;39(6):342-7. doi: 10.3109/03091902.2015.1063722. Epub 2015 Jul 6.
Over the past 25 years, Heart rate variability (HRV) has become a non-invasive research and clinical tool for indirectly carrying out investigation of both cardiac and autonomic system function in both healthy and diseased. It provides valuable information about a wide range of cardiovascular disorders, pulmonary diseases, neurological diseases, etc. Its primary purpose is to access the functioning of the nervous system. The source of information for HRV analysis is the continuous beat to beat measurement of inter-beat intervals. The electrocardiography (ECG or EKG) is considered as the best way to measure inter-beat intervals. This paper proposes an open source Graphical User Interface (GUI): smRithm developed in MATLAB for HRV analysis that will apply effective techniques on the raw ECG signals to process and decompose it in a simpler manner to obtain more useful information out of signals that can be utilized for more powerful and efficient applications in the near future related to HRV.
在过去25年里，心率变异性（HRV）已成为一种非侵入性的研究和临床工具，用于间接研究健康人和患病者的心脏及自主神经系统功能。它能提供有关多种心血管疾病、肺部疾病、神经疾病等的有价值信息。其主要目的是评估神经系统的功能。HRV分析的信息来源是逐搏间期的连续测量。心电图（ECG或EKG）被认为是测量逐搏间期的最佳方法。本文提出了一种在MATLAB中开发的用于HRV分析的开源图形用户界面（GUI）：smRithm，它将对原始心电图信号应用有效的技术，以更简单的方式对其进行处理和分解，从而从信号中获取更多有用信息，这些信息可在不久的将来用于与HRV相关的更强大、更高效的应用。
