A5024677163- Context-Aware Activity Recognition Systems
- Non-Invasive Vital Sign Monitoring
- Energy Efficient Wireless Sensor Networks
- Electronic Health Records Systems
- Landslides and related hazards
- Indoor and Outdoor Localization Technologies
- EEG and Brain-Computer Interfaces
- Dam Engineering and Safety
- Water Quality Monitoring Technologies
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Mobile Health and mHealth Applications
- Hand Gesture Recognition Systems
- Advanced Fiber Optic Sensors
- ECG Monitoring and Analysis
- Robotics and Automated Systems
- Advanced Sensor and Control Systems
- Geotechnical Engineering and Analysis
- Biomedical Text Mining and Ontologies
- Heart Rate Variability and Autonomic Control
- Environmental Monitoring and Data Management
- Structural Health Monitoring Techniques
- Asthma and respiratory diseases
- Health Systems, Economic Evaluations, Quality of Life
- Data Quality and Management
China Medical University
2014-2024
China Medical University Hospital
2020
Yale University
2019
China Medical University
2011-2015
National Yang Ming Chiao Tung University
2012
I-Shou University
2007
This paper proposes a model for recognizing motions performed during rehabilitation exercises frozen shoulder conditions. The consists of wearable wireless sensor network (WSN) inertial nodes, which were developed this study, and enables the ubiquitous measurement bodily motions. employs back propagation neural (BPNN) algorithm to compute motion data that are formed in WSN packets; herein, six types recognized. packets sent by each node converted into components acceleration angular velocity...
This study is aimed to establish a wireless sensor network (WSN) gateway model prior the back-end server for diverse environmental monitoring applications. The design catalogs different data with transmission load balance incorporate heterogeneity of signals, stability transportation, and expenditure mobile communication. As considering variety characteristics monitoring, proposed WSN designed three bridged functions, including serial listener, transaction logger Internet enable analog...
We assessed the measurement equivalence and feasibility of paper-and-pencil touch-screen modes administration Taiwan Chinese version EORTC QLQ-PR25, a commonly used questionnaire to evaluate health-related quality life (HRQOL) in patients with prostate cancer Taiwan.A cross-over design study was conducted 99 at an urology outpatient clinic. Descriptive exact global agreement percentages, intraclass correlation, test based on minimal clinically important difference (MCID) approach were...
A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' records (PCRs) improve their quality of care. We propose a RTCDSS process online informatics from multiple databases for making in the treatment prostate cancer based on Web Model-View-Controller (MVC) architecture, by which can easily be adapted different diseases applications.We designed framework upon MVC-based architecture reusable extractable...
Ubiquitous health care (UHC) is beneficial for patients to ensure they complete therapeutic exercises by self-management at home. We designed a fuzzy computing model that enables recognizing assigned movements in UHC with privacy. The are measured the self-developed body motion sensor, which combines both accelerometer and gyroscope chips make an inertial sensing node compliant wireless sensor network (WSN). logic process was studied calculate signals would entail necessary features of...
Fuzzy inference systems (FISs) based on fuzzy theory in mathematics were previously applied to infer supplementary points for the limited number of monitoring sites and improve uncertainty spatial data. Therefore we adopted FIS method simulate spatiotemporal levels air pollutants [particulate matter <2.5 μm (PM2.5), sulfur dioxide (SO2) (NO2)] investigated association with community-based prevalence chronic kidney disease (CKD).A Complex Health Screening program was launched during 2012-2013...
Ubiquitous health management (UHM) is vital in the aging society. The UHM services with artificial intelligence of things (AIoT) can assist home-isolated healthcare tracking rehabilitation exercises for clinical diagnosis. This study combined a personalized recognition (PRR) system AIoT lower-limb exercises. three-tier infrastructure integrated pattern bank sensor, network, and application layers. wearable sensor collected uploaded rehab data to network layer AI-based modeling, including...
We established a web-based ubiquitous health management (UHM) system, “ECG4UHM”, for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns, including atrial premature complex (APC), fibrillation (AFib), ventricular (VPC), and tachycardia (VT), versus normal sinus rhythm (NSR). The analytical model coupled machine learning methods, such as multiple layer perceptron (MLP), random forest (RF), support vector (SVM), naive Bayes (NB), process the patterns of four...
The physical therapeutic application needs personalized rehabilitation recognition (PRR) for ubiquitous healthcare measurements (UHMs). This study employed the adaptive neuro-fuzzy inference system (ANFIS) to generate a PRR model self-development of UHM. subjects wore sensor-enabled wristband during physiotherapy exercises measure scheduled motions their limbs. In model, sampling data collected from are labeled by an arbitrary number within defined range. sample datasets referred as design...
This study establishes wireless sensor network (WSN) inertial nodes (ISN) that comprise micro control unit, ZigBee-compatible radio frequency chip, tri-axial accelerometer, biaxial gyroscope, single-axial and a planar inverted-F type antenna on four-layer printable circuit board with size of 40mm × 37mm 2mm. Two ISNs are attached arm wrist for measuring rehabilitation exercise frozen shoulder. The measured data sent wirelessly to base node where Matlab-based program is developed retrieving...