Mingzhe Jiang

Mingzhe Jiang
Sun Yat-Sen University | SYSU · Department of Biomedical Engineering

PhD

About

25
Publications
44,556
Reads
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1,791
Citations
Education
September 2014 - December 2019
University of Turku
Field of study
  • Information and Communciation Technology, Health Technology
September 2012 - July 2014
Harbin Institute of Technology
Field of study
  • Instrument Science and Technology
September 2008 - July 2012
Harbin Institute of Technology
Field of study
  • Instrument Science and Technology

Publications

Publications (25)
Article
Full-text available
Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualitatively as a potential pain intensity index. On the basis of that, this study aims at developing a c...
Thesis
Full-text available
Accurate pain assessment plays an important role in proper pain management, especially among hospitalized people experience acute pain. Pain is subjective in nature which is not only a sensory feeling but could also combine affective factors. Therefore self-report pain scales are the main assessment tools as long as patients are able to self-report...
Conference Paper
Pain is a subjective experience with interpersonal perception sensitivity differences. Pain sensitivity is of scientific and clinical interest, as it is a risk factor for several pain conditions. Resting heart rate variability (HRV) is a potential pain sensitivity measure reflecting the parasympathetic tone and baroreflex function, but it remains u...
Article
Atrial fibrillation (AF) is a serious medical condition of the heart potentially leading to stroke, which can be diagnosed by analyzing electrocardiograms (ECG). Technologies of Artificial Intelligence of Things (AIoT) enable smart abnormality detection by analyzing streaming healthcare data from the sensor end of users. Analyzing streaming data in...
Article
Full-text available
Facial nerve paralysis results in muscle weakness or complete paralysis on one side of the face. Patients suffer from difficulties in speech, mastication and emotional expression, impacting their quality of life by causing anxiety and depression. The emotional well-being of a facial nerve paralysis patient is usually followed up during and after tr...
Article
Full-text available
With more than 50 million people worldwide at risk of heart disease, early diagnosis of cardiovascular disease is essential. The classification of electrocardiogram (ECG) recordings can diagnose Atrial Fibrillation (AF) and other types of arrhythmia. Short ECG segments recorded from wearable devices in an IoT-based system can further provide contin...
Article
Full-text available
Hand gesture recognition from multi-channel surface electromyography (sEMG) have been widely studied in the past decade. By analyzing muscle activities measured from forearm muscles, multiple hand gestures can be recognized. This technology can benefit upper-limb amputees in motion intention recognition, especially for those with trans-radial amput...
Article
Full-text available
16 The automatic detection of facial expressions of pain has been needed to ensure accurate 17 pain assessment of patients who are unable to self-report pain. To overcome the challenges 18 of automatic systems for determining pain levels based on facial expressions in clinical patient 19 monitoring, a surface electromyography method was tested for...
Preprint
Full-text available
BACKGROUND Pain assessment is critical to the optimal treatment of pain. There is a high demand for accurate objective pain assessment for effectively optimizing pain management interventions. However, pain as a multivalent, dynamic, and ambiguous phenomenon is difficult to quantify, particularly when the patient’s ability to communicate is limited...
Article
Full-text available
Background: Assessment of pain is critical to its optimal treatment. There is a high demand for accurate objective pain assessment for effectively optimizing pain management interventions. However, pain is a multivalent, dynamic, and ambiguous phenomenon that is difficult to quantify, particularly when the patient's ability to communicate is limit...
Conference Paper
Patient self-reporting of pain is not always possible, in those cases automated objective pain assessment could lead to reliable pain assessment. In this context, physiological measurements have been studied and one of the promising signals is skin conductance (SC). In this study, 1Hz SC signal acquisition is performed while gradually increasing he...
Chapter
This chapter exploits fog computing in health‐monitoring Internet‐of‐Things (IoT) systems for enhancing the quality of healthcare service. It shows an overview of the architecture of an IoT‐based system with fog computing. Fog computing services locating in a fog layer of smart gateways are diversified for serving IoT applications. The chapter disc...
Article
Full-text available
Surface electromyography (sEMG) signal plays an important role in hand function recovery training. In this study, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband, machine learning algorithms, and a 3D printed dexterous robot hand. User comfort is one of the key issues which should be addressed...
Article
Full-text available
Facial expressions are among behavioral signs of pain that can be employed as an entry point to develop an automatic human pain assessment tool. Such a tool can be an alternative to the self-report method and particularly serve patients who are unable to self-report like patients in the Intensive Care Unit and minors. In this paper, a wearable devi...
Conference Paper
Full-text available
A better lifestyle starts with a healthy heart. Unfortunately, millions of people around the world are either directly affected by heart diseases such as coronary artery disease and heart muscle disease (Cardiomyopathy), or are indirectly having heart-related problems like heart attack and/or heart rate irregularity. Monitoring and analyzing these...
Chapter
Developments in technology have shifted the focus of medical practice from treating a disease to prevention. Currently, a significant enhancement in healthcare is expected to be achieved through the Internet of Things (IoT). There are various wearable IoT devices that track physiological signs and signals in the market already. These devices usuall...
Article
Full-text available
Current developments in ICTs such as in Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) allow us to develop healthcare solutions with more intelligent and prediction capabilities both for daily life (home/office) and in-hospitals. In most of IoT-based healthcare systems, especially at smart homes or hospitals, a bridging point (i.e., gate...

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Projects

Projects (2)
Project
The emerging field of Internet-of-Things (IoT) blends mobile computing systems, advanced communication technologies, and cloud computing. If merged with wearable technologies, IoT could potentially provide personalized interventions to anyone, anytime, and anywhere. Our lab has designed a unique Wearable IoT framework that interconnects wearable sensors, smartphones and cloud servers to enable personalized healthcare. WIoT helps physicians to leverage wearable sensors in their interventions to monitor multidimensional symptoms of patients from their body, brain and behaviors.