
Mingzhe JiangXidian University · Guangzhou Institute of Technology
Mingzhe Jiang
PhD
About
32
Publications
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Introduction
Additional affiliations
March 2021 - February 2023
Education
September 2014 - December 2019
September 2012 - July 2014
September 2008 - July 2012
Publications
Publications (32)
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...
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...
Pain assessment is essential for pain diagnosis and treatment. Automating the assessment process from pain behaviors could be an alternative to self-report; however, inter-subject and time-dynamic differences in pain behaviors hinder pain recognition as generic patterns. To address this problem, we proposed a neural network method integrating pain...
Automatic pain assessment is an application in healthcare serving personalized pain care, and patients cannot self-report pain. Pain at the present is inferred from physiological dynamics at the present and in the near past. However, heterogeneous pain responses cross-subject and cross-type hinder accurate recognition of pain. This work solves the...
Studying brain activity during online learning will help to improve research on brain function based on real online learning situations, and will also promote the scientific evaluation of online education. Existing research focuses on enhancing learning effects and evaluating the learning process associated with online learning from an attentional...
Zhen Li Yun Xing Pi Yao- [...]
Lejun Zhang
The connection between emotional states and physical health has attracted widespread attention. The emotional stress assessment can help healthcare professionals figure out the patient's engagement toward the diagnostic plan and optimize the rehabilitation program as feedback. It is of great significance to study the changes of physiological featur...
Implementing internet of things technologies in health monitoring systems attracts a lot of attention. Running the model at edge can continuously and in real-time monitor the user’s physiological information, which can be adopted in universal medical care. However, this task is challenging and rarely discussed due to its limited computational capac...
Atrial fibrillation (AF) is one of the clinic's most common arrhythmias with high morbidity and mortality. Developing an intelligent auxiliary diagnostic model of AF based on a body surface electrocardiogram (ECG) is necessary. Convolutional neural network (CNN) is one of the most commonly used models for AF recognition. However, typical CNN is not...
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...
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...
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...
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...
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...
The automatic detection of facial expressions of pain is needed to ensure accurate pain assessment of patients who are unable to self-report pain. To overcome the challenges of automatic systems for determining pain levels based on facial expressions in clinical patient monitoring, a surface electromyography method was tested for feasibility in hea...
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...
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...
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...
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...
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...
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...
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...
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...
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...