A5005662302- Voice and Speech Disorders
- Digital Marketing and Social Media
- Technology Adoption and User Behaviour
- Music and Audio Processing
- Phonetics and Phonology Research
- Machine Learning in Healthcare
- Caching and Content Delivery
- Topic Modeling
- Artificial Intelligence in Healthcare
- Impact of Technology on Adolescents
- Manufacturing Process and Optimization
- EEG and Brain-Computer Interfaces
- Speech Recognition and Synthesis
- Phonocardiography and Auscultation Techniques
- Anatomy and Medical Technology
- Advanced Measurement and Metrology Techniques
- Traffic Prediction and Management Techniques
- Medical Image Segmentation Techniques
- Parkinson's Disease Mechanisms and Treatments
- Multisensory perception and integration
- Neural Networks and Applications
- Sparse and Compressive Sensing Techniques
- AI in Service Interactions
- ECG Monitoring and Analysis
- ICT in Developing Communities
Dalian University of Technology
2015-2021
Beihang University
2015-2018
Dalian University
2018
Abstract Background Heart disease diagnosis is a challenging task and it important to explore useful information from the massive amount of electrocardiogram (ECG) records patients. The high-precision diagnostic identification ECG can save clinicians cardiologists considerable time while helping reduce possibility misdiagnosis at same time.Currently, some deep learning-based methods effectively perform feature selection classification prediction, reducing consumption manpower. Methods In...
The games industry has been growing prosperously with the development of information technology. Recently, further advances in social networks and mobile services, playing gaming gradually changed our daily life terms connection leisure time spending. What are determinant factors which affect users intention to play such games? Therefore this research we present an empirical study on WeChat, China’s most popular network, apply a technology acceptance model (TAM) reasons beneath popularity...
The number of patients with neurological diseases is currently increasing annually, which presents tremendous challenges for both and doctors. With the advent advanced information technology, digital medical care gradually changing ecology. Numerous people are exploring new ways to receive a consultation, track their diseases, rehabilitation training in more convenient efficient ways. In this paper, we explore use facial expression recognition via artificial intelligence diagnose typical...
The aging population of China is becoming increasingly more prominent, thus increasing the burden on medical resources. Therefore, use data mining technology to improve efficiency disease diagnosis has following important significance. For hospitals, such can reduce cost providing one-on-one guidance patients and probability registration errors. patients, it save time energy spent hospital visits; in addition, through remote access, follow automated at home complete registration, thereby...
Recent years have witnessed an opportunity for improving healthcare efficiency and quality by mining Electronic Medical Records (EMRs). This paper is aimed at developing a treatment engine, which learns from historical EMR data provides patient with next-period prescriptions based on disease conditions, laboratory results, records of the patient. Importantly, engine takes consideration both physical examination sequences are not only heterogeneous temporal in nature but also often different...
Parkinson disease (PD) is one of the most common neurological diseases. At present, because exact cause still unclear, accurate diagnosis and progression monitoring remain challenging. In recent years, exploring relationship between PD speech impairment has attracted widespread attention in academic world. Most studies successfully validated effectiveness some vocal features. Moreover, noninvasive nature signal-based testing pioneered a new way for telediagnosis telemonitoring. particular,...
WeChat payment has recently become a popular mobile service in China by bundling with WeChat, the most social network China. It is interesting to investigate reasons for its popularity. In this research, we applied technology acceptance model predict acceptability and identify variables attributing addition primary explanatory variables, i.e., Perceived Ease of Use Usefulness, proposed framework further extended include constructs Social Interaction, Trust, Enjoyment Context. The results...
In recent years, there has been increasing demand for personalized anatomy modelling medical and industrial applications, such as ergonomics device development, clinical radiological exposure simulation, biomechanics analysis, 3D animation character design. this study, we constructed deformable torso phantoms that can be deformed to match the personal of Chinese male female adults. The were created based on a training set 79 trunk computed tomography (CT) images (41 males 38 females) from...
Patent litigation not only covers legal and technical issues, it is also a key consideration for managers of high-technology (high-tech) companies when making strategic decisions. influences the market value high-tech companies. However, this raises unique challenges. To end, in paper, we develop novel recommendation framework to solve problem risk prediction. We will introduce specific type patent-related litigation, that is, Section 337 investigations, which prohibit all acts unfair...
In the process of miniature parts' assembly, structural features on bottom or side parts often need to be aligned and positioned. The general assembly equipment integrated with one vertical downward machine vision system cannot satisfy requirement. A precision automatic was developed double systems integrated. system, a horizontal is employed measure position feature structure at view, which seen one. measured by camera converted calibration information. By careful calibration, alignment...
Partial correlation-based connectivity networks can describe the direct between features while avoiding spurious effects, and hence they be implemented in diagnosing complex dynamic multivariate systems. However, existing studies mainly focus on single systems that are ill-equipped for incremental learning. Moreover, related methods estimate temporal network by imposing only sparse regularization without integrating pattern priors (e.g., inter-system shared intra-system intrinsic pattern),...
Dynamic systems are often monitored with multivariate time series where each dimension represents a local component measured through (virtual) sensor. Performing accurate diagnostic for dynamic while simultaneously taking into account their similarities/distinctions, is non-trivial task. To this end, we develop an adaptive regularization approach to learning sparse connectivity structures in complex systems. The learned networks shed lights on the structural compositions of system and hence...
With the development of Internet based services, requirement keeping keep their vitality and user viscosity has become an important challenge. Better understanding users behaviour is effective way to improve services lifecycle management. As such analysis experience from web log, questionnaire some other ways have been attached much importance. From previous studies it realised that personal information a key data for analysis. However, due privacy protection or security reasons, difficult...
The information literacy that the teenagers should have is widely concerned nowadays. We been teaching a course entitled Introduction to Computer Science and computer Ethics taken by freshmen from science, electronic engineering software engineering. There were more than 400 students in our annually. divided into groups participate in-class discussion. used focus on professional code of practice last years. While fall semester 2017, we paid attention what internet bring us, do when are...
<sec> <title>BACKGROUND</title> Parkinson disease (PD) is one of the most common neurological diseases. At present, because exact cause still unclear, accurate diagnosis and progression monitoring remain challenging. In recent years, exploring relationship between PD speech impairment has attracted widespread attention in academic world. Most studies successfully validated effectiveness some vocal features. Moreover, noninvasive nature signal–based testing pioneered a new way for...
<sec> <title>BACKGROUND</title> The number of patients with neurological diseases is currently increasing annually, which presents tremendous challenges for both and doctors. With the advent advanced information technology, digital medical care gradually changing ecology. Numerous people are exploring new ways to receive a consultation, track their diseases, rehabilitation training in more convenient efficient ways. In this paper, we explore use facial expression recognition via artificial...