Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Design of a self-organized Intelligent Electrode for synchronous measurement of multiple bio-signals in a wearable healthcare monitoring system
KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK. KTH, School of Information and Communication Technology (ICT), Electronic Systems.
KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK. KTH, School of Information and Communication Technology (ICT), Electronic Systems.
KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK. KTH, School of Information and Communication Technology (ICT), Electronic Systems.
KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK. KTH, School of Information and Communication Technology (ICT), Electronic Systems.
2010 (English)In: 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010, 2010Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents an Intelligent Electrodes and Active Cable based wearable medical system. Within each Intelligent Electrode, an Application Specific Integrated Circuit (ASIC) is integrated which includes a gain-bandwidth selectable analog front-end circuit, an 8-bit SAR ADC and a digital controller. The key of the ASIC is the analog front-end circuit with tunable gain and bandwidth which can be configured for Electrocardiogram (ECG), Electroencephalogram (EEG) or Electromyogram (EMG) measurement. Common mode interference is effectively rejected due to the circuit’s high Common Mode Rejection Ratio (CMRR), which is higher than 135 dB up to 100 Hz and better than 110dB up to 1 kHz. Since a dedicated data transmission protocol is implemented on chip, the Intelligent Electrodes can establish a self-organized network and perform synchronous measurements for multiple bio-signals.

Place, publisher, year, edition, pages
2010.
Keyword [en]
ASIC;CMRR;ECG;EEG;EMG;SAR ADC;active cable based wearable medical system;application specific integrated circuit;common mode interference;common mode rejection ratio;digital controller;electrocardiogram measurement;electroencephalogram measurement;electromyogram measurement;gain bandwidth selectable analog front end circuit;intelligent electrode based wearable medical system;on chip dedicated data transmission protocol;self organized intelligent electrode design;self organized network;synchronous multiple biosignal measurement;tunable bandwidth;tunable gain;wearable healthcare monitoring system;analogue-digital conversion;application specific integrated circuits;biomedical electrodes;body sensor networks;data communication;electrocardiography;electroencephalography;electromyography;
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:kth:diva-49205DOI: 10.1109/ISABEL.2010.5702786Scopus ID: 2-s2.0-79952011006ISBN: 978-142448132-3 (print)OAI: oai:DiVA.org:kth-49205DiVA: diva2:459406
Conference
2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010. Roma, Italy 7 November 2010 - 10 November 2010
Note

QC 20150707

Available from: 2011-11-25 Created: 2011-11-25 Last updated: 2015-07-07Bibliographically approved
In thesis
1. Hybrid Integration of Active Bio-signal Cable with Intelligent Electrode: Steps toward Wearable Pervasive-Healthcare Applications
Open this publication in new window or tab >>Hybrid Integration of Active Bio-signal Cable with Intelligent Electrode: Steps toward Wearable Pervasive-Healthcare Applications
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Personalized and pervasive healthcare help seamlessly integrate healthcare and wellness into people’s daily life, independent of time and space. With the developments in biomedical sensing technologies nowadays, silicon based integrated circuits have shown great advantages in terms of tiny physical size, and low power consumption. As a result, they have been found in many advanced medical applications. In the meanwhile, printed electronics is considered as a promising approach enabling cost-effective manufacturing of thin, flexible, and light-weight devices. A hybrid integration of integrated circuits and printed electronics provides a promising solution for the future wearable healthcare devices.

This thesis first reviews the current approaches for bio-electric signal sensing and the state-of-the-art designs for biomedical circuit and systems. In the second part, the idea of Intelligent Electrode and Active Cable for wearable ECG monitoring systems is proposed. Based on this concept, we design and fabricate two customized IC chips to provide a single cable solution for long-term healthcare monitoring. The first chip is a digital ASIC with a serial communication protocol implemented on chip to support data and command packets transmission between different ASIC chips. Also, it has on-chip memory to buffer the digital bio-signal. An Intelligent Electrode is formed by embedding the ASIC chip into the conductive electrode. With the on-chip integrated communication protocol, a wired sensor network can be established enabling the single cable solution. The ASIC’s controlling logic is capable of making dynamic network management, thus endows the electrode with local intelligence. The second chip is a fully integrated mixed-signal SoC. In addition to the digital controller implemented and verified in the first chip, another 2 key modules are integrated: a tunable analog front end circuits, and a 6-input SAR ADC. The second chip works as a networked SoC sensor. The command-based network management is verified through functional tests using the fabricated SoCs. With the programmable analog front end circuits, the SoC sensor can be configured to detect a variety of bio-electric signals. EOG, EMG, ECG, and EEG signals are successfully recorded through in-vivo tests.

This research also explores the potential of using high accurate inkjet printing technology as an inexpensive integration method and enabling technology to design and fabricate bio-sensing devices. Performance evaluation of printed electrodes and interconnections on flexible substrates is made to examine the feasibility of applying them in the fabrication of Bio-Patch. The reliability of the inkjet printed sliver traces is evaluated via static bending tests. The measurement results prove that the printed silver lines can offer a reliable interconnection. In-vivo test results show that the quality of ECG signal sensed by the printed electrodes is comparable with the one gained by commercial electrodes.

Finally, two Bio-Patch prototypes are presented: one is based on photo paper substrate, the other on polyimide substrate. These two prototypes are implemented by heterogeneous integration of the silicon based SoC sensor with cost-effective printed electronics onto the flexible substrates. The measurement results indicate the SoC operates smoothly with the printed electronics. Clean ECG signal is successfully recorded from both of the implemented Bio-Patch prototypes. This versatile SoC sensor can be used in various applications according to specific requirements. And this heterogeneous system combining high-level integrated SoC technology and inkjet printing technique provides a promising solution for future personalized and pervasive healthcare applications.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. xiii, 60 p.
Series
Trita-ICT-ECS AVH, ISSN 1653-6363
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - ICT
Identifiers
urn:nbn:se:kth:diva-119280 (URN)978-91-7501-670-2 (ISBN)
Public defence
2013-04-16, Sal-E, Forum 120, Isafjordsgatan 39, Kista, 13:00 (English)
Opponent
Supervisors
Note

QC 20130318

Available from: 2013-04-19 Created: 2013-03-11 Last updated: 2013-04-19Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Yang, GengMao, JiaTenhunen, HannuZheng, Li-Rong
By organisation
VinnExcellence Center for Intelligence in Paper and Packaging, iPACKElectronic Systems
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 115 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf