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With the increasing complexity of the traffic system, the study of driver emotion has become a hot topic. Traffic psychology mentioned that both the driver's character and the emotional changes in the driving process will affect the driver's driving behavior. Through real-time tracking of human physiological...

50Hz power frequency interference is the main noise of ECG signal. It is harmful to automatic detection and the classification of arrhythmia. Therefore, it is essential to reject 50Hz interference in the preprocess of ECG signal. This paper develops a 50Hz notch filter based on LabVIEW. The notch filter...

Nap is an effective way to reduce daily-level fatigue after several hours of work. However, no alarm clock, which intelligently manages the nap duration with good autonomic nervous recovery (ANR) from fatigue, has been reported in literature. In this work, an intelligent biological alarm clock algorithm...

Heart Rate Variability is the description of instant duration change between two linked heartbeat in a series of continuing ECG signal. It was found that it can be used to recognize people’s psychological stress. Characteristic parameters selecting and recognition model have becoming the kernel of study....

One of the most common causes of mortality in patients with Diabetes Mellitus (DM) is cardiovascular disease. Electrocardiography (ECG) is considered as a screening technique for cardiovascular disease, particularly in individuals who have hypertension or are suspected of having cardiovascular disease....

Mao Zedong’s “Speech at the Yan’an Forum on Literature and Art” in 1942 and Xi Jinping’s “Speech at the Forum on Literature and Art” (hereinafter referred to as the two “Speeches”) in 2014 are two glorious Marxist literature and art theoretical guidance documents. Under the illumination of the spirit...

In recent research studies, biosignals are used to study the behaviour of a human body function which are useful for medical diagnosis. Biosignals such as electrocardiogram (ECG) signals are used to determine the irregularities in heartbeat meanwhile electroencephalogram (EEG) signal is used to record...

In accordance with the big size and bulky volume and not easy to carry of ECG monito ring equipment limitations , a new portable ECG collecting equipment of real-time monitoring and low-cost was designed. Compared to the static ECG monitor , the new design has obvious advantages easy to cassy and fit...

ECG (Electrocardiograph) is the primary method for cardiovascular disease detection. The main purpose of this research work is to develop an ECG auto-analyzing system on Android platform for 3AHcare Node. 3AHcare Node is a health monitoring device developed by IECAS, and ECG auto-analyzing system analyzes...

With the continuous development of wearable health monitoring technology, new types of Electrocardiogram (ECG) electrodes become the focus of attention, such as textile electrode, non-contact electrode, and micro-needle electrode. However, there are not yet unified performance testing methods for different...

Electrocardiography (ECG) is an important diagnostic device that can be used to assess the health of the heart and provide real-time recording of the electrical activity of the heart. The recent wearable technology offers continuous and non-invasive measures of ECGs in nonclinical settings. This paper...

Abstract.In this paper, we use the method of permutation entropy symbolization to symbolize the original data. It mainly uses the size relation of the adjacent data to symbolize the original data, preserves the details of the original data, and overcomes the problem that global static symbolization method...

Computer-aided diagnosis has received intensive study in recent years, especially in an aging society which unforunately has limited medical resources but surging medical demands. It's a challenging work to determine health conditions with knowledge of dynamic successive long-term ECG.RR-Lorenz plot...

The classification of electrocardiogram (ECG) signals has become a major issue in the medical field. And the timing characteristics of RNN are superior in the diagnosis. To cope with this problem more effectively, this paper described a new deep bidirectional gated recurrent unit (DBGRU) network. The...

The prevalence of mental health issues like anxiety and depression is increasing globally. An early detection can play a major role in improving treatment results. Electroencephalogram (EEG) and physiological signals are combined in multimodal machine learning frameworks to provide a strong and reliable...

Nowadays, heart rate monitors are common to be seen in daily life. However, current monitors are simple and sometimes provide inaccurate results. Thus, a sophisticated heart rate monitor is critical for researchers to invent. This paper focuses on the development of a heart rate monitor. This paper mainly...

This research is development research with aim to development王老先生pop-up tale books. The result research used to learn Mandarin vocabulary for kindergarten children aged 4-5 years. Development model used ADDIE (Analysis, Design, Development, Implementation, Evaluation). The product tested for students...

This paper proposes a two stage system based in neural network models to classify ischemia via ECG analysis. Two systems based on artificial neural network (ANN) models have been developed in order to discriminate inferolateral and anteroposterior ischemia from normal electrocardiogram (ECG) and other...

From the view of practical application, this paper designs the human body physiology information collection nodes, the coordinator node, wireless transmission system using CC2430 microcontroller, and detailed design information of human body sensor (temperature, heart rate, ECG / pulse) circuit diagram....

A proposed methods seeks to improve the processing of Electrocardiogram signals with the intent of reducing the impacts of power-line interference and magnetic-field defects that commonly result in uncertainties of medical diagnosis. The initial step of our proposed approach involves decomposition of...

In the last decade, the interest for temporal data analysis methods has increased significantly in many application areas. One of these areas is the medical field, in which temporal data is in the core of innumerous diagnosis exams. However, only a small portion of all gathered medical data is properly...

In recent years, cardiovascular diseases have become common. Serious health problems arise in the human body as a result of an unhealthy lifestyle, the use of alcohol and tobacco, obesity, stress, and dietary changes. This has complicated surgeons’ ability to diagnose heart failure at the right time....

Plasmodium vivax (P. vivax) is known as a benign pattern of malaria. In recent years, Plasmodium vivax can also cause severe malaria infection that contributes to various manifestations in human organs. Cardiac complications associated with P. vivax malaria are rarely seen, but have recently been reported....

The measurement of blood pressure (BP) accurately and non-invasively is still a very important challenge in monitoring cardiovascular health. This exploratory study evaluates multiple spectral conversion methods, Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), Fast Fourier Transform...

Background: Electrocardiographic (ECG) abnormalities are independently associated with poor outcomes in the general population. Their prevalence and determinants were assessed in the understudied African American population with type 2 diabetes. Methods: Standard 12-lead ECGs were digitally recorded...

This paper investigates a portable system for remote monitoring of cardiac activity. In this paper we present a low cost, handheld device with wireless transmission for real time ECG acquisition so that we can archive and visualize both in a mobile phone and a PC. With the recent advance in technology,...

A plan of ECG acquisition, analysis and processing system based on STM32 is proposed in the system, and its hardware and software design are completed. The core of the system is ECG acquisition circuit, which is to complete the signal extraction. The system is a typical biomedical signal collecting-...

The long QT syndrome (LQTS) is a one type of severe cardiac arrhythmia syndrome that leading cause to unexpected cardiac death, characterized with impaired ventricular repolarization caused by hereditary disorder in sodium and potassium channels on cardiac myocyte and acquired caused by drugs or electrolyte...

This paper examines the benefits of habit formation and social interaction for older adults in senior universities (老年大学 lǎonián dàxué) in China. With China’s rapidly ageing population, senior universities provide educational opportunities that promote lifelong learning, skill development, and social...

Introduction: Anxiety will affect the results of the Electrocardiogram (EKG) so that these worry factors need to be known so that they can be minimized and solutions are found. Purpose: To see what factors influence the patient's anxiety before the ECG examination Method: This research uses descriptive...

ECG sequences databases lack of a formal way to model analysis and query operations. In the pursuit of such a formal model, the definition of relevant primitive operators is necessary. We identify the convolution operator of sequences as one of those primitive operators. We take two QRS detection algorithms...

The promulgation and formulation of ordinances on apparel system in past dynasties are not only the factors restricting clothing culture, but also the factors promoting clothing culture. The enactment of the ordinances on apparel system of the Republic of China is the inheritance of the Chinese costume...

In this paper, we applied wavelet permutation entropy to analyze the Ventricular Fibrillation (VF) signals and Sudden Cardiac Death (SCD) signals for making an effective distinction from normal sinus rhythm (NSR) signals. Firstly, three different ECG signals are decomposed by wavelet and reconstructed...

Electrocardiography (ECG) has become a widely used noninvasive diagnostic tool, increasingly supported by algorithmic analysis. However, progress in automated ECG interpretation faces challenges due to the lack of adequate training datasets and standardized evaluation procedures, which are crucial to...

The design of this system is a real-time measurement of heart rate based on the Internet of Things (IoT) method of IBM Bluemix. Analysis of ECG (electrocardiogram) is using the help of sensors AD8232 and Arduino as useful hardware to determine the frequency of the patient’s heartbeat. The results of...

A defecation monitoring system based on weighing sensor with Internet Plus was designed in the paper. In the system, 8051 single chip is applied as a control core. First of all, users' defecation information is collected by some weight sensors. And then, the information about change in weight that is...

This research aimed to assess the diagnostic value of hFABP in diagnosing the AMI in patients with the chest pain onset ≤6 hours. This diagnostic study was performed on 39 patients with the chest pain onset ≤6 hours in the Emergency Room of Dr Wahidin Sudirohusodo hospital, Makassar from February 2015...

This work presents a web-based intelligent diagnostic cardiovascular diseases automatic classification system based on the electrocardiogram (ECG) images. The system has a pre-trained hybrid CNNResNet deep learning model to assign the ECG images to four categories, Myocardial Infarction, History of Myocardial...

The difficulty that is experienced by most Chinese language teachers is to determine which Chinese language textbooks are suitable to be applied to Indonesian learners. In Indonesia, most of the Chinese books, including the Chinese Semantic textbooks, are still in full Chinese or English. Learning Chinese...

Cardiovascular diseases remain one of the primary contributors to global mortality rates. Insufficient early diagnostic tools and the limited availability of cardiology experts pose challenges to accurate arrhythmia identification, which may elevate the likelihood of severe complications and fatal outcomes....

With the continuous development of the social economy and the deepening of urbanization, large buildings are increasing, and disaster risks associated with large buildings, such as fire risks, are also increasing. Because of large buildings, such as shopping malls, business offices, transportation hubs...

The extraction and identification of ECG (electrocardiogram) signal characteristic parameters are the basis of ECG analysis and diagnosis. The fast and precise detection of QRS complexes is very important in ECG signal analysis, for it is the precondition of the correlative parameters calculation and...

In order to achieve real-time monitoring of ECG, the paper design a set of ECG data acquisition system based STM32 microcontroller conditioning. Design of the system is divided into hardware and software in two parts: hardware including ECG acquisition, preamplifier, bandpass filter and amplifier, band-stop...

Heart disease is the number one cause of death in the world according WHO data. One of the mayor cause is the lack of cardiologists. One of the proposed solution is tele-electrocardiograph (Tele-ECG) system. However, the sizeof ECG data recorded from patient is not small. Therefore, it must be compressed...

Cardiovascular diseases remain the primary cause of mortality worldwide. Limited access to early detection technology and the shortage of medical experts make diagnosis and treatment both costly and less effective. The absence of accurate diagnostic methods often leads to late detection of abnormal heart...

An automated clinical decision support based on cardiac arrhythmia detection from electrocardiogram (ECG) signals is still a burning issue, especially where high sensitivity, robustness under realistic signal conditions, and post-hoc interpretability are required. This paper proposes a Hybrid Convolutional...

Endothelial dysfunction (ED) and carotid artery intima-media complex thickening (IMT) are regarded as predictors for the progress of atherosclerosis. The anti-oxidant properties of bilirubin and its ability to prevent oxidation of lipids of low density lipoproteins, and thus, development of vascular...

In this paper a method of the design of Data Sampling Terminal is introduced. The system consists of four main parts: temperature collecting, ECG collecting, the main control circuit, and Bluetooth communication module. Another, it also consists of data processing software. Body temperature acquisition...

The commonest causes of dementia are Alzheimer’s disease and vascular cognitive impairment. Although these conditions have been viewed as distinct entities, there is increasing evidence that neurodegenerative and vascular pathologies interact or overlap to cause cognitive decline, and that at least in...

In this paper, through the research of previous research on ECG diagnosis process, preprocessing method proposed multi order classification algorithm of BP neural network and De-noising and sampling frequency conversion, combined with the waveform feature extraction method, the recognition rate is obviously...