Browsing by Author "Hsiao, T. C."

Now showing 1 - 4 of 4

A Novel Multivariate Analysis Method for Bio-Signal Processing
(2009)
Lin, H. H.
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Change, S. H.
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Chiou, Y. J.
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Lin, J. H.
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Hsiao, T. C.
Often, multivariate analysis is wildly used to process "signal information", which includes spectrum analysis, bio-signal processing and etc. In general, Least Squares (LS) and PLS fall into overfitting problem with ill-posed condition, which means the future selections make the training data have better adaptability, but the quality of the prediction would be poor, compared with the testing data. However, the goal of these models is to have consistent prediction between testing and training data. Therefore, in this study, we present a novel MVA model, Partial Regularized Least Squares, which applies regularization algorithm (entropy regularization), to Partial Least Square (PLS) method to cope with the problem mentioned above. In this paper, we briefly introduce the conventional methods and also clearly define the model, PRLS. Then, the new approach is applied to several real world cases and the outcomes demonstrate that while calibrating data with noises, PRLS shows better noise reduction performance and lower time complexity than cross-validation (CV) technique and original PLS method which indicates that PRLS is capable of processing "Bio-signal". Finally, in the future we expect utilizing another two regularization techniques instead of the one in the paper to identify the performance differentiations.
Assessment of autonomic nervous system by using empirical mode decomposition-based reflection wave analysis during non-stationary conditions
(2014-09-01)
Chang, C. C.
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Kao, S. C.
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Hsiao, T. C.
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Hsu, H. Y.
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分子醫學與生物工程研究所
Arterial blood pressure (ABP) is an important indicator of cardiovascular circulation and presents various intrinsic regulations. It has been found that the intrinsic characteristics of blood vessels can be assessed quantitatively by ABP analysis (called reflection wave analysis (RWA)), but conventional RWA is insufficient for assessment during non-stationary conditions, such as the Valsalva maneuver. Recently, a novel adaptive method called empirical mode decomposition (EMD) was proposed for non-stationary data analysis. This study proposed a RWA algorithm based on EMD (EMD-RWA). A total of 51 subjects participated in this study, including 39 healthy subjects and 12 patients with autonomic nervous system (ANS) dysfunction. The results showed that EMD-RWA provided a reliable estimation of reflection time in baseline and head-up tilt (HUT). Moreover, the estimated reflection time is able to assess the ANS function non-invasively, both in normal, healthy subjects and in the patients with ANS dysfunction. EMD-RWA provides a new approach for reflection time estimation in non-stationary conditions, and also helps with non-invasive ANS assessment.
Limited-angle iterative reconstruction (LAIR) as a new approach to reducing radiation dose without sacrificing image quality: Context-encoder based sinogram completion and image-quality based stopping-criteria applied to a laboratory micro-CT system
(2018-09-01)
Jin, S. C.
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Chen, J. C.
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Tu, S. H.
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Chen, Y. C.
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Hsiao, T. C.
Study on Posture Homeostasis - One Hour Pilot Experiment
(2011)
Lin, G. W.
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Hsiao, T. C.
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Lin, C. W.
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分子醫學與生物工程研究所
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Institute of Molecular Medicine and Bioengineering
The goal of this study is to study the feature of posture homeostasis in prolonged sitting of normals, in order to provide information to electrical wheelchair designer to design ideal wheelchair to help people who cannot functionally reposition themselves and relief pressures under their bony prominences. Subjects sat on a powered wheelchair which seat inclination can be adjusted. We used a pressure mat to measure the pressure under hip and back during prolonged wheelchair sitting, then calculated the center of pressure (COP) to analyzed the mode and range of posture change in different seat inclination. The study included 10 healthy subjects. The results showed that in these 10 subjects, the COP movement of 100 degrees, 110 degrees, 120 degrees and 130 degrees in the sagittal plane was 11.5 +/- 6.5, 11.1 +/- 4.3, 11.4 +/- 5.8, and 12.8 +/- 5.5cm, and in the coronal plane was 7.1 +/- 5.4, 4.2 +/- 5.5, 4.7 +/- 6.9, and 5.0 +/- 5.1.Through one-way ANOVA, we found statistically significant differences (p-value <0.05). When separated different sex in two group, we found that male motion extent in sagittal and coronal plane were 11.7 +/- 0.7 and 6.5 +/- 1.8, and female were 10.2 +/- 1.9 and 3.9 +/- 1.6. There was significant difference between motion extent of males and females. Males moved to a larger extent than females (p <0.05). In addition, the same subjects seated in the experimental design in four different angles, two to four will show similar features. The features of posture homeostasis in sitting of different subjects somehow may have significant differences.