Conference proceeding
A methodology for validating artifact removal techniques for fNIRS
Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), v 2011, pp 4943-4946
2011
PMID: 22255447
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
fNIRS recordings are increasingly utilized to monitor brain activity in both clinical and connected health settings. These optical recordings provide a convenient measurement of cerebral hemodynamic changes which can be linked to motor and cognitive performance. Such measurements are of clinical utility in a broad range of conditions ranging from dementia to movement rehabilitation therapy. For such applications fNIRS is increasingly deployed outside the clinic for patient monitoring in the home. However, such a measurement environment is poorly controlled and motion, in particular, is a major source of artifacts in the signal, leading to poor signal quality for subsequent clinical interpretation. Artifact removal techniques are increasingly being employed with an aim of reducing the effect of the noise in the desired signal. Currently no methodology is available to accurately determine the efficacy of a given artifact removal technique due to the lack of a true reference for the uncontaminated signal. In this paper we propose a novel methodology for fNIRS data collection allowing for effective validation of artifact removal techniques. This methodology describes the use of two fNIRS channels in close proximity allowing them to sample the same measurement location; allowing for the introducing of motion artifact to only one channel while having the other free of contamination. Through use of this methodology, for each motion artifact epoch, a true reference for the uncontaminated signal becomes available for use in the development and performance evaluation of signal processing strategies. The advantage of the described methodology is demonstrated using a simple artifact removal technique with an accelerometer based reference.
Metrics
Details
- Title
- A methodology for validating artifact removal techniques for fNIRS
- Creators
- Kevin T Sweeney - National University of Ireland, MaynoothHasan Ayaz - Drexel UniversityTomás E Ward - National University of Ireland, MaynoothMeltem Izzetoglu - National University of Ireland, MaynoothSeán F McLoone - National University of Ireland, MaynoothBanu Onaral - National University of Ireland, Maynooth
- Publication Details
- Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.), v 2011, pp 4943-4946
- Conference
- 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Boston, Massachusetts, United States, 30 Aug 2011–03 Sep 2011)
- Series
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE); United States
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000298810003315
- Scopus ID
- 2-s2.0-84055190674
- Other Identifier
- 991014877803104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- International collaboration
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic