Fully-passive Wireless Acquisition of Biosignals
abstract: The recording of biosignals enables physicians to correctly diagnose diseases and prescribe treatment. Existing wireless systems failed to effectively replace the conventional wired methods due to their large sizes, high power consumption, and the need to replace batteries. This thesis aim...
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2020
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Online Access: | http://hdl.handle.net/2286/R.I.63004 |
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ndltd-asu.edu-item-630042021-01-15T05:01:18Z Fully-passive Wireless Acquisition of Biosignals abstract: The recording of biosignals enables physicians to correctly diagnose diseases and prescribe treatment. Existing wireless systems failed to effectively replace the conventional wired methods due to their large sizes, high power consumption, and the need to replace batteries. This thesis aims to alleviate these issues by presenting a series of wireless fully-passive sensors for the acquisition of biosignals: including neuropotential, biopotential, intracranial pressure (ICP), in addition to a stimulator for the pacing of engineered cardiac cells. In contrast to existing wireless biosignal recording systems, the proposed wireless sensors do not contain batteries or high-power electronics such as amplifiers or digital circuitries. Instead, the RFID tag-like sensors utilize a unique radiofrequency (RF) backscattering mechanism to enable wireless and battery-free telemetry of biosignals with extremely low power consumption. This characteristic minimizes the risk of heat-induced tissue damage and avoids the need to use any transcranial/transcutaneous wires, and thus significantly enhances long-term safety and reliability. For neuropotential recording, a small (9mm x 8mm), biocompatible, and flexible wireless recorder is developed and verified by in vivo acquisition of two types of neural signals, the somatosensory evoked potential (SSEP) and interictal epileptic discharges (IEDs). For wireless multichannel neural recording, a novel time-multiplexed multichannel recording method based on an inductor-capacitor delay circuit is presented and tested, realizing simultaneous wireless recording from 11 channels in a completely passive manner. For biopotential recording, a wearable and flexible wireless sensor is developed, achieving real-time wireless acquisition of ECG, EMG, and EOG signals. For ICP monitoring, a very small (5mm x 4mm) wireless ICP sensor is designed and verified both in vitro through a benchtop setup and in vivo through real-time ICP recording in rats. Finally, for cardiac cell stimulation, a flexible wireless passive stimulator, capable of delivering stimulation current as high as 60 mA, is developed, demonstrating successful control over the contraction of engineered cardiac cells. The studies conducted in this thesis provide information and guidance for future translation of wireless fully-passive telemetry methods into actual clinical application, especially in the field of implantable and wearable electronics. Dissertation/Thesis Liu, Shiyi (Author) Christen, Jennifer (Advisor) Nikkhah, Mehdi (Committee member) Phillips, Stephen (Committee member) Cao, Yu (Committee member) Goryll, Michael (Committee member) Arizona State University (Publisher) Electrical engineering Biomedical engineering Electromagnetics Biosignal Acquisition Flexible Electronics Fully-passive ICP Monitoring Neural Recording Wireless Sensor eng 305 pages Doctoral Dissertation Electrical Engineering 2020 Doctoral Dissertation http://hdl.handle.net/2286/R.I.63004 http://rightsstatements.org/vocab/InC/1.0/ 2020 |
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NDLTD |
language |
English |
format |
Doctoral Thesis |
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NDLTD |
topic |
Electrical engineering Biomedical engineering Electromagnetics Biosignal Acquisition Flexible Electronics Fully-passive ICP Monitoring Neural Recording Wireless Sensor |
spellingShingle |
Electrical engineering Biomedical engineering Electromagnetics Biosignal Acquisition Flexible Electronics Fully-passive ICP Monitoring Neural Recording Wireless Sensor Fully-passive Wireless Acquisition of Biosignals |
description |
abstract: The recording of biosignals enables physicians to correctly diagnose diseases and prescribe treatment. Existing wireless systems failed to effectively replace the conventional wired methods due to their large sizes, high power consumption, and the need to replace batteries. This thesis aims to alleviate these issues by presenting a series of wireless fully-passive sensors for the acquisition of biosignals: including neuropotential, biopotential, intracranial pressure (ICP), in addition to a stimulator for the pacing of engineered cardiac cells. In contrast to existing wireless biosignal recording systems, the proposed wireless sensors do not contain batteries or high-power electronics such as amplifiers or digital circuitries. Instead, the RFID tag-like sensors utilize a unique radiofrequency (RF) backscattering mechanism to enable wireless and battery-free telemetry of biosignals with extremely low power consumption. This characteristic minimizes the risk of heat-induced tissue damage and avoids the need to use any transcranial/transcutaneous wires, and thus significantly enhances long-term safety and reliability. For neuropotential recording, a small (9mm x 8mm), biocompatible, and flexible wireless recorder is developed and verified by in vivo acquisition of two types of neural signals, the somatosensory evoked potential (SSEP) and interictal epileptic discharges (IEDs). For wireless multichannel neural recording, a novel time-multiplexed multichannel recording method based on an inductor-capacitor delay circuit is presented and tested, realizing simultaneous wireless recording from 11 channels in a completely passive manner. For biopotential recording, a wearable and flexible wireless sensor is developed, achieving real-time wireless acquisition of ECG, EMG, and EOG signals. For ICP monitoring, a very small (5mm x 4mm) wireless ICP sensor is designed and verified both in vitro through a benchtop setup and in vivo through real-time ICP recording in rats. Finally, for cardiac cell stimulation, a flexible wireless passive stimulator, capable of delivering stimulation current as high as 60 mA, is developed, demonstrating successful control over the contraction of engineered cardiac cells. The studies conducted in this thesis provide information and guidance for future translation of wireless fully-passive telemetry methods into actual clinical application, especially in the field of implantable and wearable electronics. === Dissertation/Thesis === Doctoral Dissertation Electrical Engineering 2020 |
author2 |
Liu, Shiyi (Author) |
author_facet |
Liu, Shiyi (Author) |
title |
Fully-passive Wireless Acquisition of Biosignals |
title_short |
Fully-passive Wireless Acquisition of Biosignals |
title_full |
Fully-passive Wireless Acquisition of Biosignals |
title_fullStr |
Fully-passive Wireless Acquisition of Biosignals |
title_full_unstemmed |
Fully-passive Wireless Acquisition of Biosignals |
title_sort |
fully-passive wireless acquisition of biosignals |
publishDate |
2020 |
url |
http://hdl.handle.net/2286/R.I.63004 |
_version_ |
1719373010289295360 |