A5049735226- EEG and Brain-Computer Interfaces
- Stroke Rehabilitation and Recovery
- Wireless Body Area Networks
- ECG Monitoring and Analysis
- Machine Learning in Bioinformatics
- Semiconductor materials and devices
- Fractal and DNA sequence analysis
- Analog and Mixed-Signal Circuit Design
- Radio Frequency Integrated Circuit Design
- Neuroscience and Neural Engineering
- Electrostatic Discharge in Electronics
- Muscle activation and electromyography studies
- Functional Brain Connectivity Studies
- Integrated Circuits and Semiconductor Failure Analysis
- Energy Harvesting in Wireless Networks
- Advancements in Semiconductor Devices and Circuit Design
- Wireless Power Transfer Systems
- Non-Invasive Vital Sign Monitoring
- Molecular Communication and Nanonetworks
- Biofield Effects and Biophysics
- Neural dynamics and brain function
- Balance, Gait, and Falls Prevention
- Natural Language Processing Techniques
- Topic Modeling
- Low-power high-performance VLSI design
Shantou University
2018-2025
Dongfeng Motor (China)
2024
Taizhou People's Hospital
2018-2023
Nanjing Medical University
2023
Nantong University
2018-2023
First Affiliated Hospital of Shantou University Medical College
2023
Shandong University of Traditional Chinese Medicine
2022
GlobalFoundries (United States)
2010-2018
Rusk Rehabilitation
2017
RMIT University
2007-2016
With the rapid development wireless technologies, mobile phones are gaining acceptance to become an effective tool for cardiovascular monitoring. However, existing technologies have limitations in terms of efficient transmission compressed ECG over text messaging communications like SMS and MMS. In this paper, we first propose compression algorithm which allows lossless bandwidth constrained link. Then, several algorithms abnormality detection directly from maintaining end security, patient...
A low-power, wireless, and implantable microstimulator system on chip with smart powering management, immediate neural signal acquisition, wireless rechargeable is proposed. controller parity checking handles the adjustable stimulus parameters for stimulated objective. In current paper, rat's intra-cardiac electrogram employed as model in animal study, it sensed by a low-voltage low-power monitoring analog front end. The power management unit, which includes rectifier, battery charging...
This paper presents a wireless biosignal acquisition system-on-a-chip (WBSA-SoC) specialized for electrocardiogram (ECG) monitoring. The proposed system consists of three subsystems, namely, 1) the ECG node, 2) protocol standard IEEE 802.15.4 ZigBee system, and 3) RF transmitter circuits. is adopted communication to achieve high integration, applicability, portability. A fully integrated CMOS front end containing quadrature voltage-controlled oscillator 2.4-GHz low-IF (i.e., zero-IF)...
The assessment of the limb mobility stroke patients is an essential part poststroke rehabilitation. Conventionally, manually performed by clinicians using chart-based ordinal scales, which can be subjective and inefficient. By introducing quantitative evaluation measures, sensitivity efficiency process significantly improved. In this paper, a novel single-index-based approach for upper-limb has been proposed Instead traditional human-observation-based system utilizes kinematic information...
Mobile phones have become an integral part of modern life. Due to the ever increasing processing power, mobile are rapidly expanding its arena from a sole device telecommunication organizer, calculator, gaming device, web browser, music player, audio/video recording navigator etc. The power has been utilized by many innovative purposes. In this paper, we proposing utilization for monitoring and analysis biosignal. computation performed inside phone's processor will now be exploited...
This paper presents low-power radio-frequency identification (RFID) technology for intelligent healthcare systems. With attention to power-efficient communication in the body sensor network, RF power transfer was estimated and required ICs, which are important development of a system with miniaturization integration, discussed based on RFID platform. To analyze transformation, this adopts 915-MHz industrial, scientific, medical radiation 70 mW estimate loss under 1-m distance between an...
Rehabilitation is essential for post-stroke body function recovery. Supported by the mirror neuron theory, motor imagery (MI) has been proposed as a potential stroke therapy capable of facilitating rehabilitation. However, it often quite difficult to estimate degree participation patients during traditional MI training well evaluate efficacy based rehabilitation methods. The goal this paper develop virtual reality (VR) system combining electromyography (EMG) real-time feedback poststroke...
The rehabilitation of aphasics is fundamentally based on the assessment speech impairment. Developing methods for assessing impairment automatically important due to growing number stroke cases each year. Traditionally, aphasia assessed manually using one well-known batteries, such as Western Aphasia Battery (WAB), Chinese Rehabilitation Research Center Examination (CRRCAE), and Boston Diagnostic (BDAE). In testing, a speech-language pathologist (SLP) administers multiple subtests assess...
A protein's chemical properties, the chain conformation, function of protein and its species specificity are determined by information contained in amino acid sequence. Proteins similar functions have at some level sequential identical sequences. The closer phylogenetic relationship, more To find similarities between two or sequences is great importance for sequence analysis. differences permit construction a family tree evolution. In this work, comparison method was devised that capable...
Through an integration of wireless communication and sensing technologies, the concept a body sensor network (BSN) was initially proposed in early decade with aim to provide essential technology for wearable, ambulatory, pervasive health monitoring elderly people chronic patients. It has become hot research area due big opportunities as well great challenges it presents. Though idea implantable BSN parallel on-body network, development this is relatively slow complexity human body, safety...
We present a fully integrated 7nm CMOS platform featuring 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> generation finFET architecture, SAQP for fin formation, and SADP BEOL metallization. This technology reflects an improvement of 2.8X routed logic density >40% performance over the 14nm reference described in [1-3]. A full range Vts is enabled on-chip through unique multi-workfunction process. enables both excellent low voltage...
Autonomous poststroke rehabilitation systems which can be deployed outside hospital with no or reduced supervision have attracted increasing amount of research attentions due to the high expenditure associated current inpatient stroke systems. To realize an autonomous systems, a reliable patient monitoring technique automatically record and classify patient's motion during training sessions is essential. In order minimize cost operational complexity, combination nonvisual-based inertia...
Motor impairment is a common consequence of stroke causing difficulty in independent movement. The first month post-stroke rehabilitation the most effective period for recovery. Movement imagination, known as motor imagery, combination with virtual reality may provide way patients severe disabilities to begin rehabilitation.The aim this study verify whether imagery and help activate patients' cortex. 16 acute/subacute (< 6 months) participated study. All participants performed basketball...
The brain continually reorganizes its functional network to adapt post-stroke impairments. Previous studies using static modularity analysis have presented global-level behavior patterns of this reorganization. However, it is far from understood how the reconfigures dynamically following a stroke. This study collected resting-state MRI data 15 stroke patients, with mild (n = 6) and severe 9) two subgroups based on their clinical symptoms. Additionally, age-matched healthy subjects were...
A simple, objective and quantitative unsupervised outcome measure is considered vital in the home-based rehabilitation for stroke patients. The Fugl-Meyer Assessment (FMA) scale widely utilized clinical practice, while not suitable home settings due to its subjective time-consuming property. In this paper, a Support Vector Regression (SVR) based evaluation model was presented automatically estimate FMA scores Shoulder-Elbow movement. estimation obtained by analyzing accelerometer data...
Speech assessment is an important part of the rehabilitation process for patients with aphasia (PWA). Mandarin speech lucidity features such as articulation, fluency, and tone influence meaning spoken utterance overall clarity. Automatic these efficient aphasic speech. Hence, in this paper, a standardized automatic method Mandarin-speaking using machine learning based technique presented. The proposed adopts Chinese Rehabilitation Research Center Aphasia Examination (CRRCAE) standard...
Abstract This paper proposes a reliable monitoring scheme that can assist medical specialists in watching over the patient’s condition. Although several technologies are traditionally used to acquire motion data of patients, high costs as well large spaces they require make them difficult be applied home context for rehabilitation. A patient technique, which automatically record and classify movements, is mandatory telemedicine protocol. In this paper, comparison state-of-the-art machine...
Proteins are the biomolecular workhorses driving most biological processes in any living organism. These based on selective interactions between particular proteins. So far rules governing coding of protein's function, i.e. its ability to selectively interact with other biomolecules, have not been elucidated The resonant recognition model (RRM) is a novel physicomathematical approach established analyze interaction protein and target. RRM assumes that specificities electromagnetic energy...
We report the design and analysis of first vertical magnetic-cored inductors in CMOS backend for radio-frequency (RF) ICs, which includes theoretical experimental studies device architecture, equivalent circuit model with parameter extraction technique, process development, characterization. Vertical magnetic cores multiple-layer stacked-spiral structures are designed to realize compact inductive devices RF ICs. A CMOS-compatible post-CMOS module (CMOS +) optimized high-permeability...
There is an increasing interest in the use of mathematical word problem (MWP) generation educational assessment. Different from standard natural question generation, MWP needs to maintain underlying operations between quantities and variables, while at same time ensuring relevance output given topic. To address above problem, we develop end-to-end neural model generate diverse MWPs real-world scenarios commonsense knowledge graph equations. The proposed (1) learns both representations...