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2012 International Conference on Biomaterial and Bioengineering, ICBB 2012

作者： Jeon, Gye-Rok Kim, Young-Jae Jeon, Ah-Young Lee, Sang-hoon Kim, Jae-hyung Kim, Min-Seok Lee, Seong-Ho Kim, Ji-Hyun Dept. of Biomedical Engineering School of Medicine Pusan National Univ. Korea Republic of Dept. of Anesthesia and Pain Medicine Busan Paik Hospital College of Medicine Inje University Korea Republic of Dept. of Interdisciplinary Program in Biomedical Engineering Graduated School Pusan National University Korea Republic of Dept. of Computer Simulation Inje Univ. Korea Republic of Dept. of Honours Specialization in Medical Science University of Western ON Canada Dept. of Anesthesiology Samsung Changwon Hospital School of Medicine SungkyunKwan Univ Korea Republic of Dept. of Anesthesia and Pain Medicine School of Medicine Pusan Natl. Univ. Korea Republic of

ISBN: (纸本)9783037855973

Falls detection systems have been developed in recent years because falls are detrimental events that can have a devastating effect on health of the elderly population. Current fall detecting methods mainly employ accelerometer to discriminate falls from activities of daily living (ADL). However, this makes it difficult to distinguish real falls from certain fall-like activities such as jogging and jumping. In this paper, an accurate fall detection system was implemented using two tri-axial accelerometers. By attaching the accelerometers on the chest and the abdomen, our system can effectively differentiate between falls and non-fall *** Diff_Z and Sum_diff_Z parameter resulted in falls detection rate of 100%, respectively. © (2013) Trans Tech Publications, Switzerland.

关键词： Fall detection

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Effective Falls Detection Method using Two Tri-axial Accelerometers

Effective Falls Detection Method using Two Tri-axial Acceler...

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2012 International Conference on Biomaterial and Bioengineering(ICBB 2012)

作者： Gye-Rok Jeon Young-Jae Kim Ah-Young Jeon Sang-hoon Lee Jae-hyung Kim Min-Seok Kim Seong-Ho Lee Ji-Hyun Kim Dept.of Biomedical Engineering School of MedicinePusan National Univ. Dept.of Anesthesia and Pain Medicine Busan Paik Hospital College of Medicine Inje University Dept.of Interdisciplinary Program in Biomedical Engineering Graduated School Pusan National University Dept.of Computer Simulation Inje Univ. Dept.of Honours Specialization in Medical Science University of Western Ontario Dept.of Anesthesiology Samsung Changwon Hospital School of MedicineSungkyun Kwan Univ. Dept.of Anesthesia and Pain Medicine School of MedicinePusan Natl.Univ.

Falls detection systems have been developed in recent years because falls are detrimental events that can have a devastating effect on health of the elderly population. Current fall detecting methods mainly employ accelerometer to discriminate falls from activities of daily living（ADL）. However, this makes it difficult to distinguish real falls from certain fall-like activities such as jogging and jumping. In this paper, an accurate fall detection system was implemented using two tri-axial accelerometers. By attaching the accelerometers on the chest and the abdomen, our system can effectively differentiate between falls and non-fall *** Diff and Sumiff parameter resulted in falls detection rate of 100%, respectively.

关键词： Falls Accelerometer Activity of daily living DiffZ Sum diffZ

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Poster abstracts

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Sleep and Biological Rhythms 2016年第1期5卷 A1-A189页

作者： J. Ferrie M. Shipley F. Cappuccio E. Brunner M. Miller M. Kumari M. Marmot A. Coenen J. L. Castillo F. Araya G. Bustamante L. Montecino C. Torres S. Oporto J. Gronli E. Fiske R. Murison B. Bjorvatn E. Sorensen R. Ursin C. M. Portas S. Rajaraman A. Gribok N. Wesensten T. Balkin J. Reifman N. Dursunoglu S. Ozkurt S. Baser O. Delen S. Sarikaya P. Sadler P. Mitchell D. Françon M. Decobert B. Herve A. Richard G. Griebel P. Avenet B. Scatton G. L. Fur D. Eckert A. Jordan A. Wellman S. Smith A. Malhotra D. White D. Bruck I. Thomas A. Kritikos W. Oertel K. Stiasny-Kolster D. Garcia-Borreguero W. Poewe B. Hoegl R. Kohnen E. Schollmayer J. Keffel C. Trenkwalder A. Valle S. Roizenblatt F. Fregni P. Boggio S. Tufik K. Ward L. Robertson L. Palmer P. Eastwood D. Hillman J. Lee S. Mukherjee V. de Padova G. Barbato G. Ficca I. Zilli P. Salzarulo M. Veldi T. Hion V. Vasar M. Kull L. Nowak J. Davis Y. Latzer O. Tzischinsky S. Crowley M. Carskadon M. Anca-Herschkovitsch D. Frey J. Ortega C. Wiseman C. Farley K. Wright A. Campbell A. Neill K. Spiegel R. Leproult E. Tasali N. Scherberg E. van Cauter A. T. Noradina N. A. Karim I. Norlinah A. A. Raymond R. Sahathevan B. Hamidon E. Werth R. Poryazova R. Khatami C. Bassetti R. G. Beran L. Ainley G. Holand J. Duncan H. Kinney B. Davis B. Hood S. Frey C. Schmidt M. Hofstetter P. Peigneux C. Cajochen W.-P. Hu J.-D. Li C. Zhang L. Boehmer J. Siegel Q.-Y. Zhou Y. Sagawa H. Kondo T. Takemura H. Kanayama Y. Kaneko M. Sato T. Kanbayashi Y. Hishikawa T. Shimizu A. Viola L. James L. Schlangen D.-J. Dijk R. Andretic Y.-C. Kim K.-A. Han F. Jones R. Greenspan L. Sanford L. Yang X. Tang K. Dieter E. Uta H. Sven M. Richard N. Oyane S. Pallesen F. Holsten Y. Inoue M. Fujita N. Emura K. Kuroda N. Uchimura A. Johnston J. Astbury G. Kennedy K. Hoedlmoser M. Schabus T. Pecherstorfer S. Moser G. Gruber P. Anderer W. Klimesch N. Naidoo M. Ferber A. Pack D. Neu O. Mairesse G. Hoffmann A. Dris L. Lambrecht P. Linkowski P. Verbanck O. Le Bon N. Matsuura M. Yamao N. Adachi R. Aritomi Y. Komada H. Tanaka S. Shirak University College London London UK University College London London USA Warwick Medical School London UK Warwick Medical School Coventry USA Radboud University Nijmegen Nijmegen Netherlands Department of Neurology University of Chile Santiago Chile Neurology Service Hospital del Salvador Santiago Chile Family Health Center Juan Pablo II Santiago Chile Department of Biomedicine Section on Physiology Univeristy of Bergen Bergen Norway Department of Public Health and Primary Health Care Univeristy of Bergen Bergen Norway Department of Public Health and Primary Health Care University of Bergen Bergen Norway Norwegian Competence Center for Sleep Disorders Haukeland University Hospital Bergen Norway Department of Child and Adolescent Psychiatry Haukeland University Hospital Univeristy of Bergen Bergen Norway Department of Biomedicine University of Bergen Bergen Norway US Army Medical Research and Materiel Command Fort Detrick Frederick USA Walter Reed Army Institute of Research Silver Spring USA Department of Behavioral Biology Walter Reed Army Institute of Research Silver Spring USA Faculty Department of Pulmonology Pamukkale University Medical Denizli Turkey University of Ballarat Ballarat Australia Sanofi-Aventis Recherche et Developpement Paris France Brigham and Women’s Hospital Harvard Medical School Boston USA The University of Queensland Adelaide Australia School of Psychology University of Queensland Brisbane Australia The University of Queensland Brisbane Australia Victoria University Melbourne Australia Department of Psychology Victoria University Melbourne Australia School of Psychology Victoria University Melbourne Australia Philips-Universität Marburg Germany Philips-Universitaet-Marburg Marburg Germany Instituto de Investigaciones del Sueno Madrid Spain Universitätsklinik für Neurologie Innsbruck Austria Universitaetsklinik fuer Neurologie Innsbruck Austria IMEREM GmbH Nuernberg Germany Schwarz Pharma AG Monheim Germany

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Measurement system of hand tapping capacity for quantitative diagnosis of Parkinson's disease

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World Congress on Medical Physics and biomedical engineering: Neuroengineering, Neural Systems, Rehabilitation and Prosthetics

作者： Kim, Sang Kyong Jeon, Hyo Seon Han, Jonghee Choi, Yoon Jae Jeon, Beom Seok Yi, Won Jin Park, Kwang Suk Interdisciplinary Program of Bioengineering Seoul National University Seoul Korea Republic of Dept. of Neurology Seoul National University Hospital Seoul Korea Republic of Dept. of Oral and Maxillofacial Radiology College of Dentistry Seoul National University Seoul Korea Republic of Dept. of Biomedical Engineering College of Medicine Seoul National University 110-799 28 Yeongeon-dong Jongno-gu Seoul Korea Republic of

ISBN: (纸本)9783642038884

The Unified Parkinson's Disease Rating Scale (UPDRS) is commonly used to measure the patients' disorder in clinical therapeutics. However, UPDRS scores can be somewhat variable and subjective. Especially, there are only 5 scales at each item. It is necessary to develop a quantitative measurement of movement ability in PD patients. Hand Tapping test system was developed in this purpose. Here, we present hand tapping test system and some test such as simple reaction test and random response test. Twelve PD patients (7 men and 5 women) were evaluated. The result of tests show us good correlation between movement time and UPDRS partIII score (0.84, 0.72). On the other hand, the reaction time and UPDRS partIII score was not related to each other. Thus, we conclude that movement time of hand tapping test can be one of the feasible quantitative measurement methods of PD patients' movement. © 2009 Springer-Verlag.

关键词： Diagnosis

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Second derivative of photoplethysmography for estimating vascular aging

Second derivative of photoplethysmography for estimating vas...

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6th International Special Topic Conference on ITAB, 2007

作者： Hyun, Jae Baek Jung, Soo Kim Yun, Sung Kim Haet, Bit Lee Kwang, Suk Park Interdisciplinary Program of Bioengineering Seoul National University Seoul Korea Republic of Interdisciplinary Program on Medical and Biological Engineering Seoul National University Seoul Korea Republic of Dept. of Biomedical Engineering College of Medicine Seoul National University Seoul Korea Republic of

ISBN: (纸本)9781424418688

Coronary artery disease (CAD) is one of the major causes of death. Therefore recurrent monitoring of arterial condition is important. The photoplethysmography (PPG) is simple and cost effective technique to measure blood volume change. As an application of PPG technique, the second derivative of photoplethysmography(SDPTG) was introduced for monitoring arterial condition. SDPTG consists of an a, b, c and d wave in systole and an e wave in diastole. The SDPTG wave pattern is determined by the proportions of the b, c, d, and e waves to the a wave. In the present study, it is confirmed that the b/a ratio and SDPTG-AI increased with age, and the c/a, d/a, and e/a ratios decreased with age. The informal method which substitutes formal SDPTG-AI was suggested. © 2008 IEEE.

关键词： Cost effectiveness

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Unconstrained heart rate estimation system in bed

Unconstrained heart rate estimation system in bed

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2nd International Conference on Convergent Information Technology, ICCIT 07

作者： Chung, Gih Sung Choi, Byoung Hoon Kim, Ko Keun Lim, Yong Gyu Choi, Jin Wook Jeong, Do-Un Park, Kwang Suk Interdisciplinary Program in Medical and Biological Engineering Seoul National University Korea Republic of Dept. of Neuropsychiatry Seoul National University College of Medicine and Hospital Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Korea Republic of Department of Oriental Biomedical Engineering Sangji University Wonju Korea Republic of

ISBN: (纸本)0769530389

It is widely known that autonomic Nervous System (ANS) is one of the indices to indicate the wakefulness of person. Therefore measuring the biosignals relating with the ANS during sleep is required to evaluate sleep quality. There are many researches that heart rate derived from the electrocardiogram (ECG) is good index to show the sympathetic or parasympathetic activities. To assess the quality of sleep, polysomnagraphy is used as golden standard but subjects have to attach many of sensors to their body and It is not only complicate, but also influence their sleep. In this study, to measure the autonomic nervous activities, we introduce newly developed system using load-cell. The sensors installed bottom of the bed measure the ballistocardiogram, mechanical vibration of heart. Ballistocardiogram is one of the nonintrusive methods to measure the heart rates unconstrainedly. By comparing with reference signal, ECG using Ag-AgCl electrodes, we validated our system with the four subjects. The results show comparison of LF/HF ratio, one of the heart rate variability, measured from the load-cells and Ag-AgCl electrodes for the each sleep stage, deep sleep, light sleep and REM sleep. It shows the different pattern for the light and deep sleep but contrary to our expectation, REM sleep doesn't indicate the highest value. LF/HF ratio measured from both methods have no significant differences. © 2007 IEEE.

关键词： Vibrations (mechanical)

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Noninvasive heart rate variability analysis using loadcell-installed bed during sleep

Noninvasive heart rate variability analysis using loadcell-i...

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29th Annual International Conference of IEEE-EMBS, engineering in Medicine and Biology Society, EMBC'07

作者： Chung, Gih Sung Choi, Byoung Hoon Jeong, Do-Un Park, Kwang Suk Interdisciplinary Program in Medical and Biological Engineering Seoul National University Graduate School Korea Republic of Dept. of Neuropsychiatry College of Medicine and Hospital Seoul National University Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Korea Republic of

ISBN: (纸本)1424407885

Polysomnography is the standard method to score the sleep stages or to determine the quality of sleep. During all night examination, subjects must attach complicate and numerous electrodes on their body to acquire the biosignals. They can influence participants' sleep stage transition or sleep pattern, and the method seems intricate. In many researches, it is reported that autonomic nervous system (ANS) is varying with sleep stage transition and heart rate variability (HRV) is one of the indices which reflects the changes of autonomic nervous system. In this point of view, we can estimate the sleep quality by observing the HRV variation. In this study, to analyze the heart rate variability, we introduce a new system that can detect the heart beats of subjects during sleep by using bed installed load-cell sensors. The pressure to the sensor changes with the pulsation of the heart and we consider it as ballistocardiogram, the physical heart beat signal. To validate our system, we adopted this system for the 4 subjects with the polysomnography. The results show the LF/HF ratio of the heart rate, one of the reflection parameters of ANS, acquired from the system for each sleep stage. To validate the results, the HRV from electrocardiogram using Ag-AgCl electrodes will be compared. © 2007 IEEE.

关键词： biomedical engineering

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Multivariate feature selection using random subspace classifiers for gene expression data

Multivariate feature selection using random subspace classif...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Kamath, Vidya P. Hall, Lawrence O. Yeatman, Timothy J. Eschrich, Steven A. Biomedical Engineering Program University of South Florida H. Lee Moffitt Cancer Center and Research Institute Tampa FL United States Dept. of Computer Science and Engineering University of South Florida Tampa FL United States Dept. Interdisciplinary Oncology H. Lee Moffitt Cancer Center and Research Institute Tampa FL United States

ISBN: (纸本)1424415098

Gene expression analysis techniques identify important genes that predict specified outcomes based on sample characteristics. Given the small sample sizes common to these studies and the large dimensionality of the data, feature selection methods are essential. In addition, cancer-related expression analysis often involves imbalanced datasets due to rare forms of disease. Popular methods of feature selection employ univariate techniques to identify the features most suitable for analysis. We propose a multivariate technique for selecting accurate subsets of features using an approach based on random subspaces. The random subspace method is used to explore random combinations of features and only subspaces that produce accurate classifiers are retained. The method is tested on two independent gene expression datasets and compared with a univariate approach. The multivariate feature selection method resulted in a 33% improvement in classification accuracy overall and 90% improvement in classification accuracy for the minority class. ©2007 IEEE.

关键词： Gene expression

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Microfluidic cell culture chip employing polymeric nanofiber membrane

Microfluidic cell culture chip employing polymeric nanofiber...

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10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006

作者： Kim, Sung Rak Lee, Ki Hwa Lee, Kwang Ho Baek, Ju Yeoul Park, Yong Doo Sun, Kyung Lee, Sang Hoon Dept. of Biomedical Engineering Korea Univ. Korea Republic of Interdisciplinary Program in Medical and Biological Engineering Major Seoul National University Korea Republic of Korea Republic of

In this paper, we have developed cell chip employing polymeric nanofiber membrane which was used for the better diffusion of nutrition or other materials suchas growth factor and for the scaffold of cell culture, and we evaluated the function of this chip by culturing the human mesenchymal stem cells (hMSCs) which have large potential applications in the tissue engineering. © 2006 Society for Chemistry and Micro-Nano Systems.

关键词： Cell culture

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A novel artificial renal microchip employing polymeric nanofibers membrane

A novel artificial renal microchip employing polymeric nanof...

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10th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2006

作者： Lee, Kwang Ho Kim, Jae Gwan Kim, Duck Joong Lee, Sang Hoon Min, Byoung Goo Interdisciplinary Program in Biomedical Engineering Major Seoul National University Korea Republic of School of Mechanical and Aerospace Engineering Seoul National University Korea Republic of Dept. Biomedical Engineering College of Medicine Korea University Korea Republic of Dept. Biomedical Engineering College of Medicine Seoul National University Korea Republic of

In this study, a novel artificial renal replacement system is presented using a biocompatible polymeric nanofibers and MEMS technology. Usually, a classical artificial renal replacement system employs a semi-permeable membrane based hemodialyzer that replaces an ability of the kidney by removing metabolic toxins through diffusion and hydraulic pressure gradients. But, it has some limits in efficient filtration of metabolic byproducts (e.g.: urea, creatinine, and so on). We have developed PDMS based artificial renal microchips (AR chip) integrating biocompatible polymeric nanofibers which are utilized for the filtration of blood. Here, we demonstrate a novel artificial renal chip by integrating a high efficient biocompatible polymeric nanofibers membrane with the PDMS based micro-fluidic platform. Via the optimization of PDMS micro fluidic channel network and the multiple packaging of nanofibers membrane, we will realize the portable and wearable artificial kidney system. © 2006 Society for Chemistry and Micro-Nano Systems.

关键词： Nanofibers

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