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Ditemukan 11 dari pencarian Anda melalui kata kunci: subject="TEKNOLOGI KEDOKTERAN"
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A Framework for Daily Activity Monitoring and Fall Detection Based on Surface…
Komentar Bagikan
Juan ChengXiang ChenMinfen Shen

Abstract—As an essential branch of context awareness, activity awareness, especially daily activity monitoring and fall detection, is important to healthcare for the elderly and patients with chronic diseases. In this paper, a framework for activity awareness using surface electromyography and accelerometer (ACC) signals is proposed. First, histogram negative entropy was employed to determine…

Edisi
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ISBN/ISSN
DOI: 10.1109/TITB.20
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 1, JANUARY 2013 p. 38-45
Judul Seri
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Unduh MARCSitasi
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A Collaborative Biomedical Image-Mining Framework: Application on the Image A…
Komentar Bagikan
Theodosis GoudasCharalampos DoukasAristotle ChatziioannouIlias Maglogiannis

Abstract—The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, such as data acquisition, preprocessing, segmentation, feature extraction, and classification. The proper combination and parameterization of the utilized methods are heavily relying on the given image dataset and experiment type. They may thus necessitate advanced i…

Edisi
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ISBN/ISSN
1089-7771
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 1, JANUARY 2013
Judul Seri
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No. Panggil
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Unduh MARCSitasi
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Objective Study of Sensor Relevance for Automatic Cough Detection
Komentar Bagikan
Drugman, ThomasUrbain, JeromeBauwens, NathalieChessini, RicardoValderrama, CarlosLebecque, PatrickDutoit, Thierry

Abstract—Thedevelopmentofasystemfortheautomatic,objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in chronic cough diseases. Even though some approaches have recently reportedsolutionsachievingthistaskwitharelativesuccess,thereis stillnostandard…

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 699-707
Judul Seri
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No. Panggil
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Unduh MARCSitasi
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Adaptive Calibration Algorithm for Plasma Glucose Estimation in Continuous Gl…
Komentar Bagikan
Barcelo-Rico, FatimaDiez, Jose-LuisRossetti, PaoloVehi, JosepBondia, Jorge

Abstract—Minimally or noninvasive continuous glucose monitors estimate plasma glucose from compartments alternative to blood, and may revolutionize the management of diabetes. However, the accuracy of current devices is still poor and it may partly depend on low performance of the implemented calibration algorithm. Here, a new adaptive calibration algorithm based on a population local-model-b…

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 530-538
Judul Seri
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No. Panggil
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Unduh MARCSitasi
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ACM-Based Automatic Liver Segmentation From 3-D CT Images by Combining Multip…
Komentar Bagikan
Ji, HongweiHe, JiangpingYang, XinDeklerck, RudiCornelis, Jan

Abstract—In this paper, we present an autocontext model (ACM)-basedautomaticliversegmentationalgorithm,whichcombines ACM, multiatlases, and mean-shift techniques to segment liver from 3-D CT images. Our algorithm is a learning-based method and can be divided into two stages. At the first stage, i.e., the training stage, ACM is performed to learn a sequence of classifiers in each atlas space…

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 690-698
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No. Panggil
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Unduh MARCSitasi
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A Survey on Ambient-Assisted Living Tools for Older Adults
Komentar Bagikan
Rashidi, ParisaMihailidis, Alex

Abstract—Inrecentyears,wehavewitnessedarapidsurgeinassisted living technologies due to a rapidly aging society. The aging population,theincreasingcostofformalhealthcare,thecaregiver burden, and the importance that the individuals place on living independently,allmotivatedevelopmentofinnovative-assistedliving technologies for safe and independent aging. In this survey, we will summarize the em…

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 579-590
Judul Seri
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No. Panggil
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Unduh MARCSitasi
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A Suction Detection System for Rotary Blood Pumps Based on the Lagrangian Sup…
Komentar Bagikan
Wang, YuSimaan, Marwan A.

Abstract—The left ventricular assist device is a rotary mechanicalpumpthatisimplantedinpatientswithcongestiveheartfailure tohelptheleftventricleinpumpingbloodinthecirculatorysystem. However,usingsuchadevicemayresultinaverydangerousevent, called ventricular suction, that can cause ventricular collapse due to overpumping of blood from the left ventricle when the rotational speed of the pump is …

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 654-663
Judul Seri
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No. Panggil
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Unduh MARCSitasi
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A Statistical Modeling Approach for Tumor-Type Identification in Surgical Ne…
Komentar Bagikan
Gholami, BehnoodNorton, IsaiahEberlin, Livia S.Agar, Nathalie Y. R.

Abstract—Current clinical practice involves classification of biopsiedorresectedtumortissuebasedonahistopathologicalevaluation by a neuropathologist. In this paper, we propose a method for computer-aided histopathological evaluation using mass spectrometry imaging. Specifically, mass spectrometry imaging can be used to acquire the chemical composition of a tissue section and, hence, provide…

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 734-744
Judul Seri
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No. Panggil
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Ketersediaan0
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Unduh MARCSitasi
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A New Framework Based on Recurrence Quantification Analysis for Epileptic Se…
Komentar Bagikan
Niknazar, M.Mousavi, S. R.Vahdat, B. VosoughiSayyah, M.

Abstract—This study presents applying recurrence quantificationanalysis(RQA)onEEGrecordingsandtheirsubbands:delta, theta,alpha,beta,andgammaforepilepticseizuredetection.RQA isadoptedsinceitdoesnotrequireassumptionsaboutstationarity, lengthofsignal,andnoise.ThedecompositionoftheoriginalEEG into its five constituent subbands helps better identification of the dynamical system of EEG signal. …

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 572-578
Judul Seri
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No. Panggil
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Ketersediaan0
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Unduh MARCSitasi
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A Hybrid Low Power Biopatch for Body Surface Potential Measurement
Komentar Bagikan
Yang, GengChen, JianXie, LiMao, JiaTenhunen, HannuZheng, Li-Rong

Abstract—This paper presents a wearable biopatch prototype for body surface potential measurement. It combines three key technologies,includingmixed-signalsystemonchip(SoC)technology, inkjet printing technology, and anisotropic conductive adhesive(ACA)bondingtechnology.Anintegralpartofthebiopatchisa low-powerlow-noiseSoC.TheSoCcontainsatunableanalogfront end, a successive approximation regist…

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 3, MAY 2013 p. 591-599
Judul Seri
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No. Panggil
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Unduh MARCSitasi
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Triaxial Accelerometer-Based Fall Detection Method Using a Self-Constructing …
Komentar Bagikan
Cheng, Wen-ChangJhan, Ding-Mao

Abstract—In this paper, we propose a cascade-AdaBoostsupport vector machine (SVM) classifier to complete the triaxial accelerometer-basedfalldetectionmethod.Themethodusestheacceleration signals of daily activities of volunteers from a database and calculates feature values. By taking the feature values of a sliding window as an input vector, the cascade-AdaBoost-SVM algorithm can self-constr…

Edisi
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ISBN/ISSN
2168-2194
Deskripsi Fisik
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 2, MARCH 2013 p. 411-419
Judul Seri
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No. Panggil
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Ketersediaan0
Tambahkan ke dalam keranjang
Unduh MARCSitasi
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