Imperial College London
Alternate

ProfessorMartynBoutelle

Faculty of Engineering, Department of Bioengineering

Associate Provost (Estates Planning)
 
 
 
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Contact

 

+44 (0)20 7594 5138m.boutelle Website CV

 
 
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Location

 

B208Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tageldeen:2020:10.1186/s12984-020-00742-x,
author = {Tageldeen, MK and Gowers, SAN and Leong, CL and Boutelle, MG and Drakakis, EM},
doi = {10.1186/s12984-020-00742-x},
journal = {Journal of NeuroEngineering and Rehabilitation},
title = {Traumatic brain injury neuroelectrochemical monitoring: behind-the-ear micro-instrument and cloud application},
url = {http://dx.doi.org/10.1186/s12984-020-00742-x},
volume = {17},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: Traumatic Brain Injury (TBI) is a leading cause of fatality and disability worldwide, partly due to the occurrence of secondary injury and late interventions. Correct diagnosis and timely monitoring ensure effective medical intervention aimed at improving clinical outcome. However, due to the limitations in size and cost of current ambulatory bioinstruments, they cannot be used to monitor patients who may still be at risk of secondary injury outside the ICU. METHODS: We propose a complete system consisting of a wearable wireless bioinstrument and a cloud-based application for real-time TBI monitoring. The bioinstrument can simultaneously record up to ten channels including both ECoG biopotential and neurochemicals (e.g. potassium, glucose and lactate), and supports various electrochemical methods including potentiometry, amperometry and cyclic voltammetry. All channels support variable gain programming to automatically tune the input dynamic range and address biosensors' falling sensitivity. The instrument is flexible and can be folded to occupy a small space behind the ear. A Bluetooth Low-Energy (BLE) receiver is used to wirelessly connect the instrument to a cloud application where the recorded data is stored, processed and visualised in real-time. Bench testing has been used to validate device performance. RESULTS: The instrument successfully monitored spreading depolarisations (SDs) - reproduced using a signal generator - with an SNR of 29.07 dB and NF of 0.26 dB. The potentiostat generates a wide voltage range from -1.65V to +1.65V with a resolution of 0.8mV and the sensitivity of the amperometric AFE was verified by recording 5 pA currents. Different potassium, glucose and lactate concentrations prepared in lab were accurately measured and their respective working curves were constructed. Finally,the instrument achieved a maximum sampling rate of 1.25 ksps/channel with a throughput of 105 kbps. All measurements were successfully received at the cl
AU  - Tageldeen,MK
AU  - Gowers,SAN
AU  - Leong,CL
AU  - Boutelle,MG
AU  - Drakakis,EM
DO  - 10.1186/s12984-020-00742-x
PY  - 2020///
SN  - 1743-0003
TI  - Traumatic brain injury neuroelectrochemical monitoring: behind-the-ear micro-instrument and cloud application
T2  - Journal of NeuroEngineering and Rehabilitation
UR  - http://dx.doi.org/10.1186/s12984-020-00742-x
UR  - https://www.ncbi.nlm.nih.gov/pubmed/32825829
UR  - http://hdl.handle.net/10044/1/81872
VL  - 17
ER  -
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