DocumentCode
3079495
Title
An EMFi-film sensor based ballistocardiographic chair: performance and cycle extraction method
Author
Junnila, Sakari ; Akhbardeh, Alireza ; Värri, Alpo ; Koivistoinen, Teemu
Author_Institution
Inst. of Signal Process., Tampere Univ. of Technol., Finland
fYear
2005
fDate
2-4 Nov. 2005
Firstpage
373
Lastpage
377
Abstract
New sensor technologies open possibilities for measuring traditional biosignals in new innovative ways. This, together with the development of signal processing systems and their computing power, can sometimes give new life to old measurement techniques. Ballistocardiogram is one such technique, originally promising but quickly replaced by the now very popular electrocardiogram. A ballistocardiograph chair, designed to look like a normal office chair, was built and fitted with pressure sensitive EMFi-films. The films are connected via a charge amplifier to a medical bioamplifier. The system was accepted for medical use in Tampere University Hospital and patient measurements have been performed. The system is presented and it´s performance evaluated. A wireless version of the system is needed to hide the cabling from the user. This makes the chair indistinguishable from a normal office chair. Overview of first wireless prototype is given. To analyze recorded BCG, individual BCG cycles must be extracted from the signal containing respiration and movement artifacts. A method for this and results of it´s application are presented. The developed system can be used for BCG measurements and it is able to automatically extract individual BCG cycles, but it has some limitations which are presented in the paper.
Keywords
biomedical transducers; electrocardiography; feature extraction; medical signal processing; EMFi-film sensor; Tampere University Hospital; ballistocardiographic chair; biosignal measurement; charge amplifier; cycle extraction method; electrocardiogram; medical bioamplifier; patient measurements; performance evaluation; signal processing systems; Algorithm design and analysis; Biomedical signal processing; Biosensors; Electrocardiography; Hardware; Hospitals; Physiology; Signal analysis; Signal processing algorithms; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on
ISSN
1520-6130
Print_ISBN
0-7803-9333-3
Type
conf
DOI
10.1109/SIPS.2005.1579896
Filename
1579896
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