A primary motivation of our research is the monitoring of physical, physiological, and biochemical parameters - in any environment and without activity restriction and behaviour modification - through using miniaturised, wireless Body Sensor Networks (BSN). Key research issues that are currently being addressed include novel sensor designs, ultra-low power microprocessor and wireless platforms, energy scavenging, biocompatibility, system integration and miniaturisation, processing-on-node technologies combined with novel ASIC design, autonomic sensor networks and light-weight communication protocols. Our research is aimed at addressing the future needs of life-long health, wellbeing and healthcare, particularly those related to demographic changes associated with an ageing population and patients with chronic illnesses. This research theme is therefore closely aligned with the IGHI’s vision of providing safe, effective and accessible technologies for both developed and developing countries.

Some of our latest works were exhibited at the 2015 Royal Society Summer Science Exhibition.


Citation

BibTex format

@article{Boutelle:2018:10.1039/C7AN01209H,
author = {Boutelle, MG and Gowers, SAN and Hamaoui, K and Cunnea, P and Anastasova-Ivanova, S and Curto, VF and Vadgama, P and Yang, G-Z and Papalois, V and Drakakis, EM and Weber, SG and Boutelle, MG},
doi = {10.1039/C7AN01209H},
journal = {Analyst},
pages = {715--724},
title = {High temporal resolution delayed analysis of clinical microdialysate streams},
url = {http://dx.doi.org/10.1039/C7AN01209H},
volume = {143},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper presents the use of tubing to store clinical microdialysis samples for delayed analysis with high temporal resolution, offering an alternative to traditional discrete offline microdialysis sampling. Samples stored in this way were found to be stable for up to 72 days at −80 °C. Examples of how this methodology can be applied to glucose and lactate measurement in a wide range of in vivo monitoring experiments are presented. This paper presents a general model, which allows for an informed choice of tubing parameters for a given storage time and flow rate avoiding high back pressure, which would otherwise cause the microdialysis probe to leak, while maximising temporal resolution.
AU - Boutelle,MG
AU - Gowers,SAN
AU - Hamaoui,K
AU - Cunnea,P
AU - Anastasova-Ivanova,S
AU - Curto,VF
AU - Vadgama,P
AU - Yang,G-Z
AU - Papalois,V
AU - Drakakis,EM
AU - Weber,SG
AU - Boutelle,MG
DO - 10.1039/C7AN01209H
EP - 724
PY - 2018///
SN - 1364-5528
SP - 715
TI - High temporal resolution delayed analysis of clinical microdialysate streams
T2 - Analyst
UR - http://dx.doi.org/10.1039/C7AN01209H
UR - http://hdl.handle.net/10044/1/51964
VL - 143
ER -