Method and system for standardized and platform independent medical data information persistence in telemedicine

Struck, Matthias; Pramatarov, S.; Weigand, Christian

doi:10.1109/cic.2008.4749026

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…The next step is to port the algorithm either to the firmware of the FitnessSHIRT module and/or onto a mobile device (e.g., tablet or smartphone), and evaluate the results in a long-term study with a larger test group. Making use of mobile devices can enrich the use case within the field of telemedicine, accompanied with the needs of standardized communication [12], e.g. ISO/IEEE 11073-20601 (Continua).…”

Section: Resultsmentioning

confidence: 99%

Evaluation of QRS detection algorithm implemented for mobile applications based on ECG data acquired from sensorized garments

Tantinger¹,

Feilner²,

Schmitz³

et al. 2012

Biomedical Engineering / Biomedizinische Technik

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People can greatly benefit from mobile technologies that continuously monitor their vital signs, in medicine as well as in home environments and sports. In order to meet the requirements of mobile systems the algorithms have to be robust, reliable, take the limited resources into account and overcome the drawback of motion artefacts. This paper presents the evaluation of an algorithm for QRS detection based on ECG signals from a sensorized garment. The system saves the ECG data, measured via two textile electrodes sewed into the shirt, on a microSD card using the EDF+-format. The raw data is processed on a desktop PC using a modified state-of-the-art algorithm. QRS complexes and R-peaks of electrocardiographic signals are detected using the technique of zero crossings. Hereby, main focus has to be placed on the proper specification of the band pass filter, which is the basis for high accuracy. For the evaluation a well-defined test protocol has been specified. Six activities respectively postures were defined: Sitting, standing, walking, running, cycling and rowing. Each activity was performed by 10 test persons for a fixed time interval. Various parameters, where the temporal location of the R-peak is of importance, can be derived from the recorded ECG raw data, such as heart rate, heart rate variability or ECG classification. This method is robust and provides high accuracy even in case of noisy signals. Motion artefacts could be compensated on a high level. The performed study illustrates that even validated state-of-the-art R-peak detection algorithms have to be adapted and optimized for the mobile and daily usage. Due to its computational efficiency it is suitable for mobile applications in real-time.

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Section: Resultsmentioning

confidence: 99%

Evaluation of QRS detection algorithm implemented for mobile applications based on ECG data acquired from sensorized garments

Tantinger¹,

Feilner²,

Schmitz³

et al. 2012

Biomedical Engineering / Biomedizinische Technik

View full text Add to dashboard Cite

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Motion Sensing: From Single Sensors to Sensor Networks

Rulsch

Arzt

Feilner

et al. 2011

Microelectronic Systems

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An XML based middleware for ECG format conversion

Vojisavljevic

Fang

2009

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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With the rapid development of information and communication technologies, various e-health solutions have been proposed. The digitized medical images as well as the mono-dimension medical signals are two major forms of medical information that are stored and manipulated within an electronic medical environment. Though a variety of industrial and international standards such as DICOM and HL7 have been proposed, many proprietary formats are still pervasively used by many Hospital Information System (HIS) and Picture Archiving and Communication System (PACS) vendors. Those proprietary formats are the big hurdle to form a nationwide or even worldwide e-health network. Thus there is an imperative need to solve the medical data integration problem. Moreover, many small clinics, many hospitals in developing countries and some regional hospitals in developed countries, which have limited budget, have been shunned from embracing the latest medical information technologies due to their high costs. In this paper, we propose an XML based middleware which acts as a translation engine to seamlessly integrate clinical ECG data from a variety of proprietary data formats. Furthermore, this ECG translation engine is designed in a way that it can be integrated into an existing PACS to provide a low cost medical information integration and storage solution.

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Method and system for standardized and platform independent medical data information persistence in telemedicine

Cited by 4 publications

References 4 publications

Evaluation of QRS detection algorithm implemented for mobile applications based on ECG data acquired from sensorized garments

Evaluation of QRS detection algorithm implemented for mobile applications based on ECG data acquired from sensorized garments

Motion Sensing: From Single Sensors to Sensor Networks

An XML based middleware for ECG format conversion

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