Jiann-Shing Shieh

Jiann-Shing Shieh
Yuan Ze University · Department of Mechanical Engineering

37.17
 · 
PhD

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187
Research items
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Introduction
JIANN-SHING SHIEH received the B.S. and M.S. degrees in chemical engineering from National Cheng Kung University, Taiwan, in 1983 and 1986, respectively, and the Ph.D. degree in automatic control and systems engineering from The University of Sheffield, U.K., in 1995. He is currently a Professor with the Department of Mechanical Engineering, also a Joint Professor with the Graduate School of Biotechnology and Bioengineering, and also serves as the Dean of the College of Engineering, Yuan Ze University, Taiwan. His research interests are focused on biomedical engineering, particularly in bio-signal processing, intelligent analysis and control, medical automation, pain model and control, critical care medicine monitoring and control, dynamic cerebral autoregulation research, and brain death

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Research items (187)
Article
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The emulation of human behavior for autonomous problem solving has been an interdisciplinary field of research. Generally, classical control systems are used for static environments, where external disturbances and changes in internal parameters can be fully modulated before or neglected during operation. However, classical control systems are inad...
Article
One of the most challenging predictive data analysis efforts is accurate prediction of depth of anesthesia (DOA) indicators which has attracted a growing attention since it provides patients a safe surgical environment in case of secondary damage caused by intraoperative awareness or brain injury. However, many researchers put heavily handcraft fea...
Chapter
The international association for the study of pain (IASP), describes pain as an unpleasant sensory and emotional experience associated with actual or potential tissue damage. Pain is a system of defense mechanism that prompts the body to avoid the source of noxious stimulation and a potential area of tissue damage. Electrocardiogram (ECG) is the e...
Article
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Acute stroke commonly affects cardiac autonomic responses resulting in reduced heart rate variability (HRV). Multiscale entropy (MSE) is a novel non-linear method to quantify the complexity of HRV. This study investigated the influence of intracerebral hemorrhage (ICH) locations and intraventricular hemorrhage (IVH) on the complexity of HRV. We rec...
Article
This study proposes an interval type-2 fuzzy logic system (IT2FLS) for stock index forecasting based on a fuzzy time series and a fuzzy logical relationship map (FLRM). First, variations within the data are found, with the maximum and minimum variations used for the interval settings of the universe of discourse. The time series variations are fuzz...
Article
With critical importance of medical healthcare, there exist urgent needs for in-depth medical studies that can access and analyze specific physiological signals to provide theoretical support for practical clinical care. As a consequence, obtaining the valuable medical data with minimal cost and impacts on hospital work comes as the first concern o...
Article
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Electroencephalogram (EEG) signal analysis is commonly employed to extract information on the brain dynamics. It mainly targets brain status and communication, thus providing potential to trace differences in the brain’s activity under different anesthetics. In this article, two kinds of gamma-amino butyric acid (type A -GABAA) dependent anesthetic...
Article
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Estimating the depth of anaesthesia (DoA) in operations has always been a challenging issue due to the underlying complexity of the brain mechanisms. Electroencephalogram (EEG) signals are undoubtedly the most widely used signals for measuring DoA. In this paper, a novel EEG-based index is proposed to evaluate DoA for 24 patients receiving general...
Article
During surgical procedures, bispectral index (BIS) is a well-known measure used to determine the patient’s depth of anesthesia (DOA). However, BIS readings can be subject to interference from many factors during surgery, and other parameters such as blood pressure (BP) and heart rate (HR) can provide more stable indicators. However, anesthesiologis...
Article
Introduction Apnea is one of critical parts for cardiovascular diseases and stroke. The evaluations of the pulse rate and heart rate variabilities are the main features in obstructive sleep apnea (OSA). The evaluations of power spectral density (PSD) and electrocardiography (ECG) have shown good correlation. The purpose of this study is to recogniz...
Article
Introduction Sleep is essential for the human life. Insufficient sleep has negative effect on the cardiac system. Furthermore, a study revealed the correlation between sleep and diabetes. Meanwhile, sleep is also related memory loss. Autonomic nervous system (ANS) is an advanced part of the sleep quality measurement. Heart rate variability (HRV); c...
Article
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Equally partitioned data are essential for prediction. However, in some important cases, the data distribution is severely unbalanced. In this study, several algorithms are utilized to maximize the learning accuracy when dealing with a highly unbalanced dataset. A linguistic algorithm is applied to evaluate the input and output relationship, namely...
Article
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Important information about the state dynamics of the brain during anesthesia is unraveled by Electroencephalogram (EEG) approaches. Patterns that are observed through EEG related to neural circuit mechanism under different molecular targets dependent anesthetics have recently attracted much attention. Propofol, a Gamma-amino butyric acid, is known...
Article
Full-text available
Evaluation of depth of anaesthesia (DoA) is critical in clinical surgery. Indices derived from electroencephalogram (EEG) are currently widely used to quantify DoA. However, there are known to be inaccurate under certain conditions; therefore, experienced anaesthesiologists rely on the monitoring of vital signs such as body temperature, pulse rate,...
Article
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This study evaluates four databases from PhysioNet: The American Heart Association database (AHADB), Creighton University Ventricular Tachyarrhythmia database (CUDB), MIT-BIH Arrhythmia database (MITDB), and MIT-BIH Noise Stress Test database (NSTDB). The ANSI/AAMI EC57:2012 is used for the evaluation of the algorithms for the supraventricular ecto...
Article
Heart rate variability (HRV), analyzed by non-linear methods confer prognostic values. HRV of a heart reviving from extracorporeal circulation (EC) has not been elaborated. We applied Multi-scale entropy (MSE) and Detrended fluctuation analysis (DFA) to study the HRV of patients receiving open-heart surgeries needing EC, during which the heart is s...
Article
Electroencephalography (EEG) is frequently used in functional neurological assessment of children with neurological and neuropsychiatric disorders. Multiscale entropy (MSE) can reveal complexity in both short and long time scales and is more feasible in the analysis of EEG. Entropy-based estimation of EEG complexity is a powerful tool in investigat...
Article
Objective: Tourette syndrome is a developmental neuropsychiatric disorder in children, and abnormal corticobasal ganglion connectivity is implied for the pathophysiology. Multiscale entropy, an entropy-based method to measure dynamic complexity at multiple temporal scales, is helpful to disclose the information of brain connectivity. This prelimina...
Article
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The present study aimed to compare various entropy measures to assess the dynamics and complexity of center of pressure (COP) displacements. Perturbing balance tests are often used in healthy subjects to imitate either pathological conditions or to test the sensitivity of postural analysis techniques. Eleven healthy adult subjects were asked to sta...
Article
Phase-rectified signal averaging (PRSA) has been known to be a useful method to detect periodicities in non-stationary biological signals. Determination of quasi-periodicities in electroencephalogram (EEG) is a candidate for quantifying the changes of depth of anesthesia (DOA). In this paper, DOA monitoring capacity of periodicities detected using...
Article
Full-text available
Atrial fibrillation (AF) detection is crucial for stroke prevention. We investigated the potential of quantitative analyses of photoplethysmogram (PPG) waveforms to identify AF. Continuous electrocardiogram (EKG) and fingertip PPG were recorded simultaneously in acute stroke patients (n = 666) admitted to an intensive care unit. Each EKG was visual...
Article
Objective: Tourette syndrome is a developmental neuropsychiatric disorder in children, and abnormal corticobasal ganglion connectivity is implied for the pathophysiology. Multiscale entropy, an entropy-based method to measure dynamic complexity at multiple temporal scales, is helpful to disclose the information of brain connectivity. This prelimin...
Article
Cerebral autoregulation (CA) is an important mechanism for maintaining constant cerebral blood flow during changes in blood pressure. Although previous studies have shown that CA may be impaired in patients with intracerebral hemorrhage (ICH), the variability of cerebral blood flow (CBF) in response to changes in CA has not been investigated. In th...
Article
The definition of the depth of anesthesia (DOA) is still controversial and its measurement is not completely standardized in modern anesthesia. Power spectral analysis is an important method for feature detection in electroencephalogram (EEG) signals. Several spectral parameters derived from EEG have been proposed for measuring DOA in clinical appl...
Conference Paper
This study evaluates the performance of the ensemble empirical mode decomposition (EEMD) filtering applied to the vertical movement motion artifact (MA). The evaluation of the filtering algorithm is investigated by the heart rate (HR) frequency assessment calculated by the fast Fourier transform (FFT), the intrinsic mode function (IMF) selection al...
Article
Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) during operation. However, the EEG signals are usually contaminated by artifacts which have a consequence on the measured DOA accuracy. In this study, an effective and useful filtering algorithm based on multivariate empirical mode decomposition and mult...
Conference Paper
Atrial fibrillation is the most commonly confronted cardiac arrhythmia in humans. This paper is written to use sample entropy and percentage of atrial fibrillation as a measure of regularity to measure AF. To assume the percentage of AF, 25 long-term ECG recordings of human subjects with atrial fibrillation containing a total of 299 AF episodes wer...
Conference Paper
Due to 3D printing is very popular of recent years, we can use 3D printer to make anything we want, and even like the prosthetic hands. We found a foreign network platform (ENABLING THE FUTURE) in which we can download a variety of prosthetic hands' files for free. We join the Enabling the Future organization, and often talk to the members and disc...
Conference Paper
Tri-axial accelerometer is a useful sensor. Most devices use it to detect the steps and human's activity. Some devices use it for digital spirit level meter. Since the first generation of iPhone was released on June 29, 2007, modern smart phones have built in accelerometers which promise to enable quantifying minute-by-minute what people do (e.g.,...
Conference Paper
The purpose of this paper is to propose a modular integrating algorithm. This algorithm can let the program detect multiple arrhythmias and is very easy to add more diseases detection algorithm. Also, it can save the repeated calculations in multiple algorithms. By a real test of the program, the result is that the computing time of the integrating...
Conference Paper
A heart rate variability (HRV) measuring system and its analysis method have been developed in this study. It is composed of a hardware measuring system based on a noninvasive photoplethysmographic (PPG) signal measuring device to acquire oxyhemoglobin saturation using pulse oximetry (SpO2) signals and a further software package including the metho...
Article
Objective: To address the importance of bundle care for catheter-related infection (CRBSI) on the basis of long-term observation in a catheter-abundant cardiovascular intensive care unit (CVICU). Design: Prospective longitudinal cohort study. Setting: CVICU of a tertiary referring medical centre in northern Taiwan. Participants: Around 1400...
Article
Full-text available
Good quality cardiopulmonary resuscitation (CPR) is the mainstay of treatment for managing patients with out-of-hospital cardiac arrest (OHCA). Assessment of the quality of the CPR delivered is now possible through the electrocardiography (ECG) signal that can be collected by an automated external defibrillator (AED). This study evaluates a nonline...
Conference Paper
In this study, we use an accelerometer sensor to measure human postural signals during a dynamic task. In previous studies, the step stability index (SSI) has been used to assess human balance via similar sensors. However, the placement of the 3 dimensional sensor differed and placed on the lower back of the subjects. To improve the detection metho...
Chapter
Multiscale entropy (MSE) has been increasingly used to investigate the complexity of biological signals. Our previous study demonstrated that the complexity of mean intracranial pressure (ICP), assessed by MSE based on the whole recording periods, is associated with the outcome after traumatic brain injury (TBI). To improve the feasibility of MSE i...
Article
Electroencephalography (EEG) signals have been commonly used for assessing the level of anesthesia during surgery. However, the collected EEG signals are usually corrupted with artifacts which can seriously reduce the accuracy of the depth of anesthesia (DOA) monitors. In this paper, the main purpose is to compare five different EEG based anesthesi...
Article
Full-text available
Objective: Increasing animal studies supported the harmful effects of prolonged or frequent neonatal seizures in developing brain, including increased risk of later epilepsy. Various nonlinear analytic measures had been applied to investigate the change of brain complexity with age. This study focuses on clarifying the relationship between later e...
Data
Patients’ profile for Groups 2 and 3. (DOC)
Article
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Engineering has been playing an important role in serving and advancing healthcare. The term “Healthcare Engineering” has been used by professional societies, universities, scientific authors, and the healthcare industry for decades. However, the definition of “Healthcare Engineering” remains ambiguous. The purpose of this position paper is to pres...
Article
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About one-third of acute stroke patients may experience stroke-in-evolution, which is often associated with a worse outcome. Recently, we showed that multiscale entropy (MSE), a non-linear method for analysis of heart rate variability (HRV), is an early outcome predictor in non-atrial fibrillation (non-AF) stroke patients. We aimed to further inves...
Article
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This study evaluated the depth of anesthesia (DoA) index using artificial neural networks (ANN) which is performed as the modeling technique. Totally 63-patient data is addressed, for both modeling and testing of 17 and 46 patients, respectively. The empirical mode decomposition (EMD) is utilized to purify between the electroencephalography (EEG) s...
Conference Paper
In this paper, a novel genetic type-2 self-organising fuzzy logic controller (SOFLC) is proposed for anaesthesia control. The genetic type-2 SOFLC has a hierarchical structure consisting of three layers: a basic type-2 fuzzy logic controller, a self-organising mechanism for online adaption, and a genetic algorithm for offline optimisation. The gene...
Conference Paper
Emotion influences human health significantly. Because of the improvement of wearable device, daily electrocardiogram (ECG) detection became accessible. In this pilot study, we presented a weightless and wearable ECG device to collect ECG signal. Movie clips method has been designed to induce 4 kinds of emotion states. 90 sec corresponding ECG sign...
Conference Paper
The linear accelerometer is called G-Sensor. It supplies the information of accelerating change when some motion happens. The current G-Sensor products in the market are supported by 3-dimension information. The G-Sensor becomes the one of consumer components in this trend of MEMS technology development. The applications using G-Sensor components a...
Conference Paper
Fall events are the external causes of injury in the elderly adults, even leading to disability and death. In this study, we used a weightless and wearable device with built-in tri-axial accelerometer and gyroscope to record 8 types of stimulated-falls and 6 types of different activities of daily living (ADL) preformed by 6 health young subjects. A...
Article
In this paper, novel interval and general type-2 self-organizing fuzzy logic controllers (SOFLCs) are proposed for the automatic control of anesthesia during surgical procedures. The type-2 SOFLC is a hierarchical adaptive fuzzy controller able to generate and modify its rule-base in response to the controller's performance. The type-2 SOFLC uses t...
Article
Full-text available
In order to build a reliable index to monitor the depth of anesthesia (DOA), many algorithms have been proposed in recent years, one of which is sample entropy (SampEn), a commonly used and important tool to measure the regularity of data series. However, SampEn only estimates the complexity of signals on one time scale. In this study, a new approa...
Article
Full-text available
Absence epilepsy is an important epileptic syndrome in children. Multiscale entropy (MSE), an entropy-based method to measure dynamic complexity at multiple temporal scales, is helpful to disclose the information of brain connectivity. This study investigated the complexity of electroencephalogram (EEG) signals using MSE in children with absence ep...
Article
The measurements of bio-signals are always subject to interference from noise, which would be able to affect the research results. In the present study, we introduce a technique to detect the signal quality by using ensemble empirical mode decomposition (EEMD) and Monte Carlo verification. We first decompose the original signals into several intrin...
Article
Depth of anaesthesia (DoA) is an important measure for assessing the degree to which the central nervous system of a patient is depressed by a general anaesthetic agent, depending on the potency and concentration with which anaesthesia is administered during surgery. We can monitor the DoA by observing the patient's electroencephalography (EEG) sig...
Article
Full-text available
Electroencephalogram (EEG) signals, as it can express the human brain’s activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA). Bispectral (BIS) index monitor is one of the famous and important indicators for anesthesiologists primarily...
Article
Full-text available
The main purpose of this study is to investigate twice a day simple 9-step tai chi effects of the center of pressure (COP) and physiological signals of elderly people. Data are collected from the COP signals, electromyography (EMG), and pulse oximetry for 1 min for the period of 12 weeks. The COP signals are analyzed using multivariate empirical mo...
Chapter
The Center of pressure (COP) measurement is an important tool used for quantifying the dynamic properties of human’s balance and can be used to assess the risk of falling among elderly people. This paper presents a novel COP measurement device, based on three pressure sensors and double layer-designed insoles. Via a data acquisition (DAQ) device, t...
Article
Full-text available
We compare type-1 and type-2 self-organizing fuzzy logic controller (SOFLC) using expert initialized and pretrained extracted rule-bases applied to automatic control of anaesthesia during surgery. We perform experimental simulations using a nonfixed patient model and signal noise to account for environmental and patient drug interaction uncertainti...
Article
Continuous infusion of local anesthetics in surgical wounds has been shown to be an effective technique for postoperative analgesia. To investigate the potential antimicrobial effect of continuous local anesthetic infusion, we adapted a mouse model of surgical wound infection to examine effects on antibacterial response. Forty male BALB/c mice were...
Article
Full-text available
Background Heart rate variability (HRV) has been proposed as a predictor of acute stroke outcome. This study aimed to evaluate the predictive value of a novel non-linear method for analysis of HRV, multiscale entropy (MSE) and outcome of patients with acute stroke who had been admitted to the intensive care unit (ICU). Methods The MSE of HRV was an...
Article
Diagnosis of depth of anaesthesia (DoA) plays an important role in treatment and drug usage in the operating theatre and intensive care unit. With the flourishing development of analysis methods and monitoring devices for DoA, a small amount of physiological data had been stored and shared for further researches. In this paper, a critical care moni...
Article
Purpose: Falling is a major public health concern among elderly people, and they often cause serious injuries1,2. They most frequently occur during walking and are associated with the chronic deterioration in the neuromuscular and sensory systems, as well as with ankle muscle weakness and lower endurance of these muscles to fatigue1,3. Vibrating in...
Conference Paper
Purpose: Accidental falling is unpredictable, and it may cause serious injury especially in the elderly. One reason elderly people tend to fall more often that others is a physiological decline in their ability to maintain their balance. To understand a human's capacity for maintaining balance, we designed a convenient and low-cost wearable center...
Conference Paper
Purpose: The movements of human fingers are very complex; few instruments that can mimic these complex exercises. Current artificial limbs and rehabilitation equipment are designed for a large range of motion, or other applications such as hybrid assistive limbs (HAL)1 for ambulatory assistance, but not for delicate movement such as finger exercise...
Article
Purpose: This study presents a relatively new method, 'multi-scale entropy' (MSE), to evaluate the center of pressure (COP) data for elderly persons under various conditions. The comparison between MSE and traditional COP stabilogram metrics is also discussed. Method: The properties of physiological systems, such as COP data, often exhibit complex...
Conference Paper
In this paper, three different self-organizing fuzzy logic controllers (SOFLC), type-1, interval type-2 and zSlice general type-2 are used in the simulated control of anesthesia. Experimental results show that both the type-2 SOFLCs have better performance in comparison to the type-1 system. Based on the performance results, we then select the inte...
Article
Full-text available
Mannitol is commonly used in patients with increased intracranial pressure (ICP), but its effect on cerebrovascular pressure reactivity (CVPR) is uncertain. We analyzed the changes of pressure reactivity index (PRx) during the course of mannitol treatment. Twenty-one patients who received mannitol treatment for increased ICP were recruited prospect...
Article
Full-text available
Tilt table test (TTT) is a standard examination for patients with suspected autonomic nervous system (ANS) dysfunction or uncertain causes of syncope. Currently, the analytical method based on blood pressure (BP) or heart rate (HR) changes during the TTT is linear but normal physiological modulations of BP and HR are thought to be predominately non...