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Technological developments cause manga not only in print but also in digital form (デジタル漫画) and in the form of videos which are often called mangadouga (漫画動画). The development of manga can indirectly trigger manga to be more widely known and attract interest in learning Japanese. Manga as a cultural reflection...

FIR Filters: Finite Impulse Response (FIR) filters are very important for processing signals because of their stability and linear phase properties. Conventional FIR filters are based on the use of multipliers, which raise hardware complexity, power consumption, and computational delay (particularly...

Intelligent wearable using machine learning IoT solutions are developing quickly to track and control healthcare and physical activity. The fog-centric, wireless, real-time smart wearable IoT framework for ubiquitous fitness and health analysis in a smart gym setting isthe primary focus of this study....

In this paper, a method based on the nolinear Granger causality is used to analyze epilptic EEG and ECG signal. Polynomial kernel function, Gaussian kernel function and sigmoid kernel function are used to map the linear data in low dimensional input space into high dimensional feature space .In this...

Heart disease is one of the main diseases threatening human beings health, and electrocardiogram is the important basis of diagnosing cardiovascular disease. Therefore, the computer auto analysis of ECG remains the research hotspot in medical Engineering. Since the distinctiveness and variability of...

The limited smart phone battery and computational resources demand efficient and low-power consumption algorithms for the instantaneous heart rate detection using phone built-in camera. A phase detector based method is proposed to improve the performance of heart rate detection software using built-in...

The process of forming a Japanese word is called gokeisei. Gokeisei consists of 4 kinds, namely haseigo (派生語), karikomi or shouryaku (刈り込み· 省略), toujigo (頭字語) and fukugougo/gouseigo (複合語· 合成語). This study aims to identify changes in phonemes in the process of gouseigo formation. In this study, the data...

ECG (electrocardiogram) currently is the most effective way to detect the heart condition. Previously people have to do the ECG recording in hospital. But the ECG abnormal situation is unsustainable, because the symptoms usually disappear when the patient is sent to the hospital. This may lead to losing...

The stress experienced by drivers is modelled in this article utilising multiple pre-trained networks. Seven pre-trained networks were utilised to extract features from ECG-based scalogram images in order to automatically increase the detection performance: Google Net, DarkNet-53, ResNet-101, InceptionResNetV2,...

This paper designs an ECG signal acquisition and processing circuit. The circuit includes preamplifier circuit, a high-pass filter circuit, a low-pass filter circuit, 50Hz frequency filter circuit, the main amplifier circuit. Experiments show that it can effectively filter all kinds of interference in...

The applications of BSN (Body Sensor Network) require the wearable computing system’s power consumption as low as possible. Compared to other components, the wireless communication link is the most power demanding part of the BSN. While effective compression algorithm can sharply cut the data volume...

Background: Local carotid pulse wave velocity (PWV) estimation is challenging due to a complex anatomy and associated wave reflections [1]. Wave interference is both blood pressure (BP) and position dependent, hence causing nonlinearity in the spatiotemporal PWV estimation [2]. In lack of beat-to-beat...

Background: Carotid artery tracking has high clinical relevance for the investigation of arterial stiffness indicators like Pulse Wave Velocity (PWV). However, current tracking systems are unreliable and/or not fully automated [1,2]. In this work we propose a novel wall tracking algorithm for long-term...

Introduction: Pulse wave velocity or (or VWV) may relate to muscle mass and body fat. We have included measurements for the above in the routine 12 channel ECG. Methods: A 12 channel ECG supplies impedance plethysmographic measurements at the four extremities at 40 kHz [1]. From these VWW was derived...

Purpose/Background/Objective: Cognitive decline is highly prevalent amongst end-stage renal disease (ESRD) patients and is accelerated upon initiation of hemodialysis (HD) [1]. ESRD increases aortic stiffness and blood flow pulsatility, which may damage small vessels of target organs like the brain [2]....

Based on the ECG monitoring instrument and ECG signal research, design a series of ARM chip based on STM32 as the core of the portable home ECG detection equipment. The device with three electrodes of ECG signal acquisition, due to weak signal acquisition processor cannot directly handle the ECG acquisition...

Purpose: There is a need for new tools to screen large populations for cardiovascular disease risk. The CARDIS consortium (European Union H2020 funding) developed an easy-to-use, non-contact device for measuring carotid to femoral pulse wave velocity (cfPWV). It consists in a laser doppler vibrometer...

Background: The lack of acceptance in clinical routine represents a major obstacle for carotid-femoral pulse wave velocity (cfPWV) measurements. We thought to include PWV measurements into the 12-channel ECG, which is performed routinely. Methods: Using the conventional electrode position for the 12...

In recent years, the increasing emphasis on personal health monitoring has accelerated the development of wearable medical devices, with notable trends toward miniaturization, user-friendliness, and intelligent features. As a vital bioelectrical signal indicative of cardiovascular diseases and other...

Cardiovascular disease is one of the main diseases threatening human healthy. Currently, the main method to detect cardiac function is electrocardiogram (ECG). However, with the development of sensors and signal detection technology, many scholars have accepted to use ballistocardiogram (BCG) signal...

Heart disease continues to be the primary cause of death globally. It highlights the importance of reliable and efficient diagnostic methods to reduce its impact. This paper presents a state-of-the-art ensemble-based machine learning architecture for predicting heart disease, aiming to enhance diagnostic...

Because of the age and the abbreviated records, wu sheng (寤生), which first appeared in Zuo Zhuan (左传), still has unclear interpretations and different way of saying. Sheng (生) means birth or giving birth to in Chinese, while the meaning of wu (寤) is controversial. This paper compiles the main views on...

This study investigates the unique tradition of “chair-shaped tombs” (椅子坟, yǐzi fén) in rural Wenzhou and its environmental and sociocultural impacts. In Wenzhou’s hillside villages, the late 20th century saw many lineage clans build elaborate seat-like concrete tombs for their ancestors, reviving a...

In this paper, we proposed a system which integrates advanced computer vision techniques for enhanced driver safety by emotion recognition and drowsiness recognition. The Global status report on road safety 2023 shows that the number of annual road traffic deaths has fallen slightly to 1.19 million globally....

Cardiovascular disease remains a leading global health concern. Electrocardiograms (ECGs) are widely used for heart disease detection, but manual interpretation is time-consuming and prone to error. This study compares two deep learning models—Convolutional Neural Networks (CNN) and MobileNet—for classifying...

The paper intends to investigate the changes of Heart Rate Variability (HRV) indexes of healthy drivers while driving on a real urban road environment in order to excavate the variation of drivers' driving workload when turning left. Electrocardiograph (ECG) was recorded continuously while drivers driving...

Sleep is a complex phenomenon involved important modifications throughout life and changes of autonomic cardiovascular control. In present study, we aimed to analyze the influence of sleep stages on cardiovascular activity. Firstly, heart rate variability (HRV), pulse rate variability (PRV) and pulse...

The purpose of the study is to examine the degree of formation and the structure of the intellect of children of senior preschool age, the participants of the experiment of two different groups: examination year 2006 and 2014. The hypothesis of the work is the assumption of a decrease in the intellectual...

A java web-based platform for 3G and internet-Based Healthcare System was designed to enable the guardian with chronic disease to get help. Apache Tomcat is used as web server and MySQL is used as database server. The healthcare system platform provides some functions such as querying physiologic data...

Accurate and precise classification of cardiac arrhythmias is essential for early diagnosis and prevention of life-threatening cardiac conditions. This research introduces an innovative two-stage deep learning approach for classifying arrhythmias, utilizing Dual-Tree Complex Wavelet Transform (DT-CWT)...

This paper proposes a cloud-service home health monitoring system based on WBANs for tracking the health status of the older people while supporting their mobility. The system consists of a WBANs physiological parameters acquisition system and a remote cloud server. While the former subsystem is responsible...

A novel long-term driving monitoring system with soft conductive foam and piezoelectric polymer film sensors was designed to enable measurement of two physiological signals: the electrocardiogram (ECG) and ballistocardiogram (BCG). The ECG was acquired using dry contact foam electrodes integrated into...

This paper examined moral values of speech acts in Tteutbakkui Saeng (뜻밖의 生 (생)) novel by Ju Yeong Kim. This research employed qualitative descriptive, focusing on the analysis of moral values with the framework of socio-pragmatic studies. Data collection techniques included reading and note-taking....

In this paper, we propose Advanced applications in prominent fields such as Agriculture, Biomedical & Telemetry, Electronics & Telecommunications, Defence and Satellite communications using cooperative communication. The single sensor or array of sensors are interfaced with hard wire or wireless sensor...

In the context of new international division of labor (NIDL) and deepening trend of the Global Value Chain (GVC), the traditional trade statistics faces “double accounting” issue. A new methodology that measures trade in domestic value-added can solve this problem. In this paper, we use the new method...

This paper presents framework of smart wheelchair for differently abled people by incorporating many facilities in a single wheelchair at low cost. A prototype of smart electronic wheelchair is developed to help the individual move freely without any external assistance. The wheelchair can also be converted...

The theme of this thesis study surrounds Lawerence Venuti’s theory about utilization of domestication in translation, as well as how Lin Shu reflected Venuti’s theory in his translation of Charles Dickens’ novel David Copperfield. The first part of study contains the literature review and the statement....

Through the analysis of compound directional verbs with theories of cognitive linguistics such as Image Schema, Construal Operation and Spatialization of Form Hypothesis, we can find the cognitive motivation of the lack of State Meaning of “guolai/guoqu” which derives from the uniqueness of “Path” of...

Emotion recognition is an important part in affective computing. It is the basis of building a harmonious man-machine environment. Respiratory (RSP) signal and electrocardiogram (ECG) signal are one of the main study objects in the emotion recognition based on physiological signal. The variations of...

Deep learning is used by the AI-enabled ECG (AI ECG) program to extract meaningful patterns from complicated ECG data. In patients with heart failure, left ventricular hypertrophies, paroxysmal atrial fibrillation, and other cardiovascular conditions, it has been shown to be beneficial. The difficulties...

This study uses a One-Dimensional Convolutional Neural Network (1D-CNN) and deep learning to identify obstructive sleep apnea (OSA) from electrocardiogram (ECG) signals. The PhysioNet Apnea-ECG database's ECG recordings were divided into 60-s segments and categorized as either apnea or non-apnea....

Electrocardiogram is a method of recording the heartbeat of a patient electronically. Storing or transmitting enormous amount of ECG signals to another device or via online is an unendurable process without compressing the signals. The purpose of this paper is to develop an efficient Electrocardiogram...

In “General Provisions of Civil Law” of the People’s Republic of China, there are some important new terms such as “gongxuliangsu” (公序良俗, public policy and ethics), “bingchichengshi, keshouchengnuo” (秉持诚实，恪守承诺, uphold honesty and honor commitment) and “shanyixiangduiren” (善意相对人, the good-faith third...

Correlation techniques are used to find whether the electrocardiogram (ECG) is normal or abnormal. These correlation techniques could be further used to detect the type of abnormality present in the abnormal ECG. Reference ECG signals could be stored for all type of abnormalities and the test ECG signal...

ECG, a kind of identity information in human identification, can be easily affected by detector's movement and the change of mood. Traditional ECG feature extraction methods require a lot of calculation which increases the computation time in the process of identification. In this paper, we mainly discuss...

The paper proposed a human identification strategy based on ECG (electrocardiogram) frequency domain features. Fourier transform was used on ECG signal to get frequency domain features. The features contained frequency-domain signal slope, harmonic number, the magnitude gap, ratio of different frequency...

ECG signal, a kind of internal characteristics of the human body, which reflects the electrical activity of the heart, has multiple excellent features such as difficult to duplicate, hard to forge, unique, stable and so on. In this paper, the identification of ECG signal is studied based on the theory...

In modern Japan, when learning from the West, it chose a large number of Chinese classical words to translate Western terminology. These Chinese character words flowed back to China in large quantities at the late Qing Dynasty and the early Republic of China, and entered the modern Chinese vocabulary...

Cardiac arrhythmia, a type of heart condition, is responsible for 12% of global deaths. While IoT-based health monitoring has advanced, the manual methods used have several limitations. Therefore, there’s a need for an automatic healthcare approach, specifically for identifying arrhythmia. We propose...

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...