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Conference

IEEE International Conference on Information Technology and Applications in Biomedicine 

About: IEEE International Conference on Information Technology and Applications in Biomedicine is an academic conference. The conference publishes majorly in the area(s): Image segmentation & Health care. Over the lifetime, 750 publications have been published by the conference receiving 6418 citations.

Papers published on a yearly basis

Papers
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Proceedings ArticleDOI
09 Nov 2000
TL;DR: The use of watermarking techniques to complete the existing measures for protecting medical images and its complementary role with respect with existing security systems is suggested.
Abstract: Because of the importance of the security issues in the management of medical information, we suggest the use of watermarking techniques to complete the existing measures for protecting medical images. We discuss the necessary requirements for such a system to be accepted by medical staff and its complementary role with respect with existing security systems. We present different scenarios, one devoted to the authentication and tracing of the images, the second to the integrity control of the patient's record.

289 citations

Proceedings ArticleDOI
24 Apr 2003
TL;DR: The WEALTHY system is implemented by integrating computing techniques, smart sensors, portable devices and telecommunications, together with local intelligence and decision support system to assist cardiopathic patients during rehabilitation or subjects working in extreme stressful environment conditions.
Abstract: A new concept in healthcare, aimed to providing continuous remote monitoring of user vital signs, is emerging. An innovative system named WEALTHY is presented, were smart material in fiber and yarn form endowed with a wide range of electrophysical properties (conducting, piezoresistive, etc) are integrated and used as basic elements to be woven or knitted in fabric form. The simultaneous recording of vital signs allows parameters' extrapolation and inter-signal elaboration that contribute to make alert messages and synoptic patient table. WEALTHY system is implemented by integrating computing techniques, smart sensors, portable devices and telecommunications, together with local intelligence and decision support system. The system will assist cardiopathic patients during rehabilitation or subjects working in extreme stressful environment conditions.

126 citations

Proceedings ArticleDOI
09 Nov 2000
TL;DR: The concept of a three layer distributed sensor network for patient monitoring and care is introduced and has the capability of dealing with the bandwidth bottleneck at the wireless patient-root node link and the processing bottleneck atThe central processor or root node of the network.
Abstract: The concept of a three layer distributed sensor network for patient monitoring and care is introduced. The envisioned network has a leaf node layer (consisting of patient sensors), an intermediate node layer (consisting of the supervisory processor residing with each patient) and the root node processor (residing at a central monitoring facility). The paradigm has the capability of dealing with the bandwidth bottleneck at the wireless patient-root node link and the processing bottleneck at the central processor or root node of the network.

108 citations

Proceedings ArticleDOI
24 Apr 2003
TL;DR: The current status in research and development of smart wearable health applications, developed especially under the EU research activities are reviewed and the outstanding issues and future challenges to be achieved in the future are analyzed.
Abstract: Telemedicine has significantly broaden its scope the last few years. In the 90's, it was mainly used by healthcare providers, regardless time and location, for second opinion and patient consultation. Today it elaborates solutions for remote health monitoring to support prevention, early diagnosis, disease management, treatment and home rehabilitation. Remote health monitoring could lead to a significant reduction of total cost in healthcare by avoiding unnecessary hospitalisations and ensuring that those who need urgent care get it sooner. Latest developments in micro- and nanotechnologies as well as in information processing and wireless communication offer, today, the possibility for smart miniaturisation and non-invasive biomedical measurement as well as for wearable sensing, processing and communication. Although developing specific systems and applications to address specific user needs, the "smart health wearable" research and industrial community faces a number of common critical issues, e.g. biomedical sensors, scenarios of use (linked to the business scenarios), data security and confidentiality, risk analysis, user interface, medical knowledge/decision support, dissemination, user acceptance and awareness, business models and exploitation. Beyond technology, which seems providing proof of concept, real future challenges such as clinical validation and impact assessment of the newly developed smart wearable applications, are ahead. This paper review the current status in research and development of smart wearable health applications, developed especially under the EU research activities and analyse the outstanding issues and future challenges to be achieved in the future.

103 citations

Proceedings ArticleDOI
24 Apr 2003
TL;DR: Presents a new human verification approach using photoplethysmography (PPG) signals that can be obtained easily from the fingertip and shows that this method is promising for human verification.
Abstract: Presents a new human verification approach using photoplethysmography (PPG) signals that can be obtained easily from the fingertip. The experiment was performed on a group of 17 healthy subjects, and evident characteristics of the PPG signals were studied. These characteristics are unique identifiers specific to different persons while they are similar enough to recognize the same person. Four feature parameters were extracted from digitalized PPG signals. The template feature vector was formulated using part of the recorded signals, and then the discriminant function was applied to the remaining data for verification. The result with a successful rate of 94% shows that this method is promising for human verification.

102 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
20181
20121
20111
2010212
2009171
2008161