Special Issue "Biomedical Sensors and Systems"

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A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (15 April 2014)

Special Issue Editor

Guest Editor
Prof. Dr. Wan-Young Chung
Department of Electronic Engineering, Pukyong National University, Busan 608-737, South Korea
Website: http://myweb.pknu.ac.kr/usnlab/
E-Mail: wychung@pknu.ac.kr
Phone: +82-10-3466-3615
Interests: biomedical sensors; biomedical signal processing; medical equipment; wireless sensor network; driver drowsiness detection; e-healthcare; BioChemLab-on-a-chip; wireless biomedical sensors

Special Issue Information

Dear Colleagues,

Recently a wide variety of biomedical sensors such as fluid flow sensors, ultrasound sensors, chemical analysis sensor, biomaterial-based sensor, and wireless biomedical sensors has been used in modern medicine. Modern biomedical sensors developed with advanced microfabrication and signal processing techniques are becoming inexpensive, accurate, excellent fit, and reliable. The miniaturization of classical measurement techniques has led to the realization of complex analytical systems, including such sensors as the BioChemLab-on-a-chip. Also recent advances in wireless communication technology, it becomes possible to build miniature and reliable wireless biomedical sensors for e-healthcare or u-healthcare. The special issue will publish those full research, review and high rated manuscripts addressing the development of biomedical sensors and system.

Prof. Dr. Wan-Young Chung
Guest Editor

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs).


Published Papers (34 papers)

Sensors 2014, 14(7), 13088-13101; doi:10.3390/s140713088
Received: 29 April 2014; in revised form: 29 April 2014 / Accepted: 15 July 2014 / Published: 21 July 2014
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Sensors 2014, 14(7), 13046-13069; doi:10.3390/s140713046
Received: 20 March 2014; in revised form: 23 June 2014 / Accepted: 4 July 2014 / Published: 21 July 2014
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Sensors 2014, 14(7), 12900-12936; doi:10.3390/s140712900
Received: 8 April 2014; in revised form: 2 July 2014 / Accepted: 7 July 2014 / Published: 18 July 2014
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Sensors 2014, 14(7), 12847-12870; doi:10.3390/s140712847
Received: 2 May 2014; in revised form: 1 July 2014 / Accepted: 14 July 2014 / Published: 18 July 2014
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Sensors 2014, 14(7), 12784-12802; doi:10.3390/s140712784
Received: 19 February 2014; in revised form: 20 June 2014 / Accepted: 10 July 2014 / Published: 17 July 2014
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Sensors 2014, 14(7), 12623-12639; doi:10.3390/s140712623
Received: 15 April 2014; in revised form: 22 June 2014 / Accepted: 11 July 2014 / Published: 15 July 2014
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Sensors 2014, 14(7), 12598-12622; doi:10.3390/s140712598
Received: 28 May 2014; in revised form: 9 July 2014 / Accepted: 9 July 2014 / Published: 14 July 2014
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Sensors 2014, 14(7), 12585-12597; doi:10.3390/s140712585
Received: 23 April 2014; in revised form: 7 July 2014 / Accepted: 10 July 2014 / Published: 14 July 2014
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Sensors 2014, 14(7), 12451-12466; doi:10.3390/s140712451
Received: 17 March 2014; in revised form: 12 June 2014 / Accepted: 7 July 2014 / Published: 11 July 2014
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Sensors 2014, 14(7), 12127-12148; doi:10.3390/s140712127
Received: 6 March 2014; in revised form: 10 June 2014 / Accepted: 3 July 2014 / Published: 8 July 2014
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Sensors 2014, 14(6), 10929-10951; doi:10.3390/s140610929
Received: 13 March 2014; in revised form: 18 May 2014 / Accepted: 26 May 2014 / Published: 19 June 2014
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Sensors 2014, 14(6), 10895-10928; doi:10.3390/s140610895
Received: 8 April 2014; in revised form: 3 June 2014 / Accepted: 4 June 2014 / Published: 19 June 2014
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Sensors 2014, 14(6), 10346-10360; doi:10.3390/s140610346
Received: 31 March 2014; in revised form: 5 June 2014 / Accepted: 10 June 2014 / Published: 12 June 2014
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Sensors 2014, 14(6), 9489-9504; doi:10.3390/s140609489
Received: 25 March 2014; in revised form: 1 May 2014 / Accepted: 19 May 2014 / Published: 28 May 2014
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Sensors 2014, 14(5), 8235-8258; doi:10.3390/s140508235
Received: 19 February 2014; in revised form: 29 April 2014 / Accepted: 29 April 2014 / Published: 7 May 2014
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Sensors 2014, 14(5), 8057-8081; doi:10.3390/s140508057
Received: 26 February 2014; in revised form: 11 April 2014 / Accepted: 24 April 2014 / Published: 5 May 2014
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Sensors 2014, 14(4), 7420-7434; doi:10.3390/s140407420
Received: 23 January 2014; in revised form: 9 April 2014 / Accepted: 14 April 2014 / Published: 23 April 2014
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Sensors 2014, 14(4), 6677-6694; doi:10.3390/s140406677
Received: 12 November 2013; in revised form: 17 February 2014 / Accepted: 20 March 2014 / Published: 10 April 2014
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Sensors 2014, 14(4), 6535-6566; doi:10.3390/s140406535
Received: 24 December 2013; in revised form: 19 March 2014 / Accepted: 30 March 2014 / Published: 9 April 2014
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Sensors 2014, 14(4), 6516-6534; doi:10.3390/s140406516
Received: 13 November 2013; in revised form: 13 March 2014 / Accepted: 30 March 2014 / Published: 9 April 2014
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Sensors 2014, 14(2), 3721-3736; doi:10.3390/s140203721
Received: 14 December 2013; in revised form: 6 February 2014 / Accepted: 18 February 2014 / Published: 21 February 2014
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Sensors 2014, 14(2), 2595-2618; doi:10.3390/s140202595
Received: 20 December 2013; in revised form: 16 January 2014 / Accepted: 24 January 2014 / Published: 7 February 2014
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Sensors 2014, 14(1), 1740-1756; doi:10.3390/s140101740
Received: 23 October 2013; in revised form: 7 January 2014 / Accepted: 16 January 2014 / Published: 20 January 2014
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Sensors 2013, 13(12), 16494-16511; doi:10.3390/s131216494
Received: 9 September 2013; in revised form: 4 November 2013 / Accepted: 25 November 2013 / Published: 2 December 2013
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Sensors 2013, 13(12), 16451-16473; doi:10.3390/s131216451
Received: 9 September 2013; in revised form: 14 October 2013 / Accepted: 21 November 2013 / Published: 2 December 2013
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Sensors 2013, 13(11), 15846-15860; doi:10.3390/s131115846
Received: 8 September 2013; in revised form: 22 October 2013 / Accepted: 12 November 2013 / Published: 21 November 2013
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Sensors 2013, 13(11), 15068-15084; doi:10.3390/s131115068
Received: 1 July 2013; in revised form: 24 October 2013 / Accepted: 28 October 2013 / Published: 5 November 2013
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Sensors 2013, 13(11), 14839-14859; doi:10.3390/s131114839
Received: 18 September 2013; in revised form: 21 October 2013 / Accepted: 29 October 2013 / Published: 1 November 2013
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Sensors 2013, 13(10), 13123-13142; doi:10.3390/s131013123
Received: 4 July 2013; in revised form: 17 September 2013 / Accepted: 22 September 2013 / Published: 27 September 2013
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Sensors 2013, 13(9), 12536-12547; doi:10.3390/s130912536
Received: 17 June 2013; in revised form: 6 September 2013 / Accepted: 13 September 2013 / Published: 17 September 2013
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Sensors 2013, 13(9), 12431-12466; doi:10.3390/s130912431
Received: 20 July 2013; in revised form: 21 August 2013 / Accepted: 11 September 2013 / Published: 17 September 2013
Show/Hide Abstract | Cited by 2 | PDF Full-text (1288 KB) | HTML Full-text | XML Full-text

Sensors 2013, 13(9), 11498-11506; doi:10.3390/s130911498
Received: 16 July 2013; in revised form: 19 August 2013 / Accepted: 27 August 2013 / Published: 30 August 2013
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Sensors 2013, 13(9), 11336-11349; doi:10.3390/s130911336
Received: 18 July 2013; in revised form: 7 August 2013 / Accepted: 14 August 2013 / Published: 26 August 2013
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Sensors 2013, 13(8), 10783-10801; doi:10.3390/s130810783
Received: 15 July 2013; in revised form: 8 August 2013 / Accepted: 12 August 2013 / Published: 16 August 2013
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Type of Paper: Article
Title: Lab-on-Chip Cytometry Based on Magnetoresistive Sensors for CD4+ and Bacteria Detection
Authors: Ana Carolina Fernandes 1, Carla Duarte 1,2, Susana Cardoso 1, Filipe Cardoso 1, Paulo P.Freitas 1
Affiliations: 1-INESC–MN—Instituto de Engenharia de Sistemas e Computadores–Microsistemas e Nanotecnologias and IN—Institute of Nanoscience and Nanotechnology, Rua Alves Redol 9, 1000-029 Lisbon, Portugal; E-Mail: scardoso@inesc-mn.pt
2-CIISA, Veterinary Medicine Faculty, Technical University of Lisbon, Avenida da Universidade Técnica, 1300-477 Lisbon, Portugal
Abstract: Flow cytometers have been optimized towards portable platforms, where cell separation, identification and counting can be achieved in a compact and modular format. This feature can be combined with magnetic detection, where magnetoresistive sensors can be integrated within microfluidic channels to detect magnetically labelled cells. This work describes the platform for in-flow detection of magnetically labelled cells with a magnetoresistive based cell cytometer. In particular, we present two examples for the validation of the platform as a magnetic counter that identifies and quantifies a) Streptococcus agalactiae in milk and b) CD4+ T-lymphocytes in blood.

Type of Paper: Article
Title: Automatic Stride Segmentation based on Foot-Worn Inertial Sensors using Dynamic Time Warping
Authors: Jens Barth 1,2,3, Caecilia Oberndorfer 1, Dominik Schuldhaus 1, Patrick Kugler 1, Jochen Klucken 2, Bjoern M. Eskofier 1
Affiliations: 1 Digital Sports Group of the Pattern Recognition Lab, Department of Computer Science, University of Erlangen, Germany; E-Mail: Jens.Barth@astrum-it.de
2 Department of Molecular Neurology, University Hospital Erlangen, Germany
3 ASTRUM IT GmbH, Erlangen, Germany
Abstract: Automatic segmentation of single strides from gait sequences is the prerequisite to obtain quantitative and qualitative characteristics during monitoring of gait. Here, we present a novel method to segment strides from shoe mounted accelerometer and gyroscope data using a Dynamic Time Warping (DTW) approach.
To train the DTW, a template was generated from strides of healthy elderly people. Individual strides from 10 meter walk tests of healthy elderly and PD patients were automatically segmented. Resulting algorithms were validated for stride segmentation during daily activities.
The presented algorithm could be used to determine gait parameters out of foot-worn inertial sensor data during daily activities.

Last update: 13 February 2014

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