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A low power time domain ECG interface based on flexible a-IGZO TFTs

  • Mohammad Zulqarnain
  • , Stefano Stanzione
  • , Jan Laurens P.J. van der Steen
  • , Gerwin H. Gelinck
  • , Kris Myny
  • , Eugenio Cantatore

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This work presents a low power ECG interface for wearable applications, based on unipolar a-IGZO TFTs manufactured on a flexible substrate. The interface consists of a cascaded diode-connected load preamplifier followed by a reset integrator, which is used to convert the voltage signal to a pulse-width modulated (PWM) representation. The output is thus provided as a binary PWM waveform, which can be conveniently sent to a reader device using wireless communication and can be further converted to a digital representation using a simple counter. The flicker noise and the offset are eliminated using an approach similar to correlated double sampling. An input chopper is exploited to alternate the connection between the inputs of the preamplifier for each sample. The output signal is then extracted by subtracting two consecutive samples after conversion to the digital domain. In this way offset and low-frequency noise, which are correlated between the two samples, are effectively cancelled.

Original languageEnglish
Title of host publication8th International Workshop on Advances in Sensors and Interfaces, IWASI 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages205-209
Number of pages5
ISBN (Electronic)978-1-7281-0557-4
DOIs
Publication statusPublished - 1 Jun 2019
Event8th International Workshop on Advances in Sensors and Interfaces, IWASI 2019 - Otranto, Italy
Duration: 13 Jun 201914 Jun 2019

Conference

Conference8th International Workshop on Advances in Sensors and Interfaces, IWASI 2019
Country/TerritoryItaly
CityOtranto
Period13/06/1914/06/19

Funding

This project has partially received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 716426 (FLICs project).

Keywords

  • bio-signal read out
  • ECG
  • IGZO
  • voltage to pulse width conversion

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