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Effective measurement of cognitive impairment caused by Alzheimer's disease (AD) will provide a chance for early medical intervention and delay the disease onset. Diffusion tensor imaging (DTI) provides a non-intrusive examination of cranial nerve diseases which can help us observe the microstructure of neuron fibers. Cognitive control network (CCN) consists of the brain regions that highly related...
Alzheimer's disease (AD) has become one of the most serious healthcare problems. As a result, early diagnosis for AD is important for intervention of its deterioration at an early stage. Diffusion tensor imaging (DTI) provides a non-intrusive examination of cranial nerve diseases, but the precise quantification is a problem for diagnosis. In current study, we proposed an AD recognition method based...
Hypertension is one of the most prevalent cardiovascular diseases in the world. People at the stage of prehypertension may have no clinic symptom, but the arterial wall and function of autonomic nervous behave abnormally. Thereby, to detect abnormality in vascular system or autonomic nervous function at prehypertension stage and to estimate the evolution of prehypertension will enable the early clinical...
Disruption of neural connections among regions regulating mood and cognition rather than cerebrovascular lesions may contribute to post-stroke depression (PSD). In this paper, we hypothesized that structural abnormalities in white matter structure like cingulate cortex induced by focal infarcts would play a role in mood regulation or depression after stroke onset. Various DTI coefficients including...
Facial micro-expressions are brief involuntary spontaneous facial expressions which can reveal suppressed affect. However, previous studies ignored that different face regions have different contributions to micro-expression recognition. In this study, we proposed a method which employs weight of feature and weighted fuzzy classification to enhance the effective information in micro-expression sequences...
Hypertension is one of the most common factors causes the death of cardiovascular disease, which may damage the artery wall and change the arterial function. The photoplethysmography(PPG) intensity radio (PIR), as a new indicator which was calculated by the light intensity of PPG, has been proved to be strongly correlated with the vascular tone function. Therefore, PIR becomes a potential predictive...
Emotion recognition became a key research issue in human-computer field. The inherent limitations are too many features to recognize emotions. However, the fusion of features may improve the performance, which was not investigated widely. This paper presents a study for emotion recognition by fusion features from multiple physiological signals. Four kinds of physiological signals were considered:...
In this paper, a novel technique for human daily motion analysis and recognition is proposed. The technique is based on the use of inertial sensors, and integrates a longest common subsequences (LCSS) algorithm as the kernel function for support vector machines (SVM), which measures the similarity of human daily motion time-series. In our system, we use the wearable motion capture system to obtain...
Sleep apnea contributes to a variety of health threatening problems. However, there is a extremely low public and medical awareness of this disease. In order to identify sleep apnea/hyopnea, some effective features have been extracted from ECG signal, PPG signal and EEG signal. In this work, a novel combined of features characterizing physiological signals for monitoring epochs of sleep apnea is presented...
Multi-atlas based MR image segmentation has been recognized as a quantitative analysis approach for brain. For such purpose, atlas databases keep increasing to include various anatomical characteristics of human brain. Atlas pre-selection becomes a necessary step for efficient and accurate automated segmentation of human brain images. In this study, we proposed a method of atlas pre-selection for...
Trabecular bone and bone marrow are main components of cancellous bone. Most mechanical studies for bone mainly focus on hard tissues, while if bone marrow contributes to bone biomechanics is not clear yet. This study was proposed to investigate marrow fat effect on trabecular bone biomechanics by simulation. Finite element (FE) bone models were established based on quantitative CT images at L3 lumbar...
QRS complex detecting algorithm is core of ECG auto-diagnosis method and deeply influences cardiac cycle division for signal compression. However, ECG signals collected by noninvasive surface electrodes areusually mixed with several kinds of interference, and its waveform variation is the main reason for the hard realization of ECG processing. This paper proposes a QRS complex detecting algorithm...
DTI (Diffusion Tensor Imaging) is a well-known MRI (Magnetic Resonance Imaging) technique which provides useful structural information about human brain. However, the quantitative measurement to physiological variation of subtypes of ischemic stroke is not available. An automatically quantitative method for DTI analysis will enhance the DTI application in clinics. In this study, we proposed a DTI...
Bone marrow was assumed to be negligible on the aspect of bone mechanical behavior, where bone mass and bone mineral density were most studied. As a result, if the bone marrow, especially the marrow fat, plays a role in the bone mechanical properties is unknown yet. Marrow fat content was found increased in osteoporotic bone. However, the relationship between such change of bone marrow and bone strength...
This study examined the BOLD effect on calf muscles in elderly subjects with different bone mineral density. The purpose was to investigate the oxygenation characteristics in different calf muscle groups for the elderly females and compare the muscle oxygenation among groups with different bone mineral density. Temporary vascular occlusion was induced with air-cuff compression of the thigh and BOLD-MRI...
PurposeTo investigate whether compressed air during air‐cuff inflation in vascular reactivity studies could induce aberrant blood oxygenation level‐dependent (BOLD) signal change.
Materials and MethodsMagnetic resonance imaging (MRI) experiments were performed on a whole‐body 3 T scanner. The pattern of T2* signal change measured from a phantom simulating the lower limb was assessed while a thigh...
Contrast coronary angiography and catheter based Intravascular Ultrasound (IVUS) are complementary imaging techniques, and have been widely used in clinical diagnosis of vascular diseases. In this paper, a novel approach of 3D reconstruction of coronary vessels based on fusion of coronary angiogram and IVUS images was proposed. First, 3D vessel centerline was reconstructed from a pair of angiograms...
Bone marrow was assumed with little effect on the bone mechanical property. As a result, there is no simulation model of bone strength considering bone marrow. While, it has been reported that fat marrow content increased in osteoporotic bone. Whether the fat marrow influences the bone mechanical property is unknown yet. Therefore, the objective of this study was to figure out the contribution of...
A Bayesian Network was proposed to estimate human body posture in three dimensional using a probabilistic inference way. In this study, to represent and reconstruct the motion of human body, a three dimensional rigid links model which consists of bones and joints was built. Belief Propagation algorithm was employed to implement Bayesian probabilistic inference for the estimation task. Based on the...
Pulse transit time (PTT) has shown a high correlation with blood pressure and have been reported to be used for blood pressure estimation. However, PTT based blood pressure estimation is not accurate yet, especially for diastolic blood pressure estimation. In this study, we introduced a new compensation method for PTT based blood pressure estimation. A liner model for PTT based blood pressure estimation...
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