Wavelet analysis for detecting body-movement artifacts in optical topography signals

Sato, Hiroki; Tanaka, Naoki; Uchida, Miho; Hirabayashi, Yukiko; Kanai, Masashi; Ashida, Takashi; Konishi, Ikuo; Maki, Atsushi

doi:10.1016/j.neuroimage.2006.06.028

Cited by 50 publications

(44 citation statements)

References 13 publications

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“…Therefore, application of specially designed signal processing algorithms will further reduce MAs, e.g. (Barker et al 2013, Cooper et al 2012, Izzetoglu et al 2005, Molavi and Dumont 2011, Robertson et al 2010, Sato et al 2006, Scholkmann et al 2010.…”

Section: Discussionmentioning

confidence: 99%

Measuring tissue hemodynamics and oxygenation by continuous-wave functional near-infrared spectroscopy—how robust are the different calculation methods against movement artifacts?

Scholkmann¹,

Metz

Wolf

2014

Physiol. Meas.

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Continuous-wave near-infrared spectroscopy and imaging enable tissue hemodynamics and oxygenation to be determined non-invasively. Movements of the investigated subject can cause movement artifacts (MAs) in the recorded signals. The strength and type of MAs induced depend on the measurement principle. The aim of the present study was to investigate the quantitative relationship between different single-distance (SD) and multi-distance (MD) measurement methods and their susceptibility to MAs. We found that each method induces MAs to a different degree, and that MD methods are more robust against MAs than SD methods. AbstractContinuous-wave near-infrared spectroscopy and imaging enable tissue hemodynamics and oxygenation to be determined non-invasively. Movements of the investigated subject can cause movement artifacts (MAs) in the recorded signals. The strength and type of MAs induced depend on the measurement principle. The aim of the present study was to investigate the quantitative relationship between different single-distance (SD) and multi-distance (MD) measurement methods and their susceptibility to MAs. We found that each method induces MAs to a different degree, and that MD methods are more robust against MAs than SD methods.

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Section: Discussionmentioning

confidence: 99%

Measuring tissue hemodynamics and oxygenation by continuous-wave functional near-infrared spectroscopy—how robust are the different calculation methods against movement artifacts?

Scholkmann¹,

Metz

Wolf

2014

Physiol. Meas.

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“…Furthermore, the position of the head (e.g., tilt) should not change during data collection, as this may cause blood shifts toward or away from the area being monitored, resulting in increases or decreases in NIRS signals that can easily be confused for hemodynamic responses associated with brain activation. Sophisticated users may also want to consider automated routines for removing artifact associated with bodily movements (Izzetoglu, Devaraj, Bunce, & Onaral, 2005;Sato et al, 2006) or skin blood flow (Kohno et al, 2007).…”

Section: Nirs-based Investigations Of Cortical Hemodynamics In Exercimentioning

confidence: 99%

Illuminating the Black Box: Investigating Prefrontal Cortical Hemodynamics during Exercise with Near-Infrared Spectroscopy

Ekkekakis¹

2009

Journal of Sport and Exercise Psychology

172

171

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Near-infrared spectroscopy (NIRS) presents an appealing option for investigating hemodynamic changes in the cerebral cortex during exercise. This review examines the physical basis of NIRS and the types of available instruments. Emphasis is placed on the physiological interpretation of NIRS signals. Theories from affective neuroscience and exercise psychobiology, including Davidson's prefrontal asymmetry hypothesis, Dietrich's transient hypofrontality hypothesis, and Ekkekakis's dual-mode model, are reviewed, highlighting the potential for designing NIRS-based tests in the context of exercise. Findings from 28 studies involving acute bouts of exercise are summarized. These studies suggest that the oxygenation of the prefrontal cortex increases during mild-to-moderate exercise and decreases during strenuous exercise, possibly proximally to the respiratory compensation threshold. Future studies designed to test hypotheses informed by psychological theories should help elucidate the significance of these changes for such important concepts as cognition, affect, exertion, and central fatigue.Keywords: near-infrared spectroscopy, prefrontal asymmetry, exercise intensity, affective responsesOne of the benefits of neuroscience for psychology, according to Peter Lang (1994), is that it can help "limit inference and . . . keep our cognitive theories away from empty boxology" (p. 219). In other words, neuroscientific knowledge can steer psychological theorizing in the right direction (and away from the wrong direction) by suggesting what is possible (and what is impossible) at the level of the nervous system. For example, is "mind over muscle" true? Some may believe so. In fact, some have argued so. But is this really possible? Does the central nervous system have the necessary anatomical features and neurophysiological functions that would permit, for example, consciousness to become completely impervious to afferent muscular cues or volition to exert unlimited control over muscular contractions? Having an understanding of what the brain "does" during exercise could help reformulate, refine, or place important boundary conditions on these and numerous other theoretical propositions.The author is with the Department of Kinesiology, Iowa State University, Ames, IA. 506Ekkekakis Unfortunately, the progress made by exercise neuroscience has been slow (Dishman, 2005). In particular, knowledge of what happens in the brain during a bout of exercise remains sketchy. A relatively small number of animal studies have provided insights into areas implicated in cardiovascular and locomotor control. However, most psychologists would probably be more interested in the function of the frontal lobes, where animal-to-human inferences are limited or impossible, given the dramatic interspecies differences in that particular region. In psychological research, the puzzle of the function of the various subdivisions of the frontal cortex is systematically and painstakingly being solved using the imaging tools of modern human neuroscience. For e...

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“…ICNNA provides automatic detection of common artifacts such as optode movement-sometimes referred to as body movement-and detector saturation whether at one wavelength producing the characteristic mirroring effect or at two wavelengths leading to apparent nonrecordings. 33 In particular, for optode movement, ICNNA provides implementation for the approaches suggested in Peña et al 34 (thresholdbased) and Sato et al 35 (wavelet-based) as well as an additional approach based on time series modeling where the optode movements are indicated by concurrent deviations of the time series predictions in both hemoglobin species. For saturationrelated artifacts, prior to image reconstruction, ICNNA can scan the raw measurements for values on the extreme of the sensor output, or alternatively if data are available only following reconstruction, ICNNA detects saturation episodes using a multiscale windowed cross-correlation algorithm in which a high cross-correlation between the hemoglobin species at different scales is indicative of mirroring.…”

Section: Image Reconstruction Processing Andmentioning

confidence: 99%

Imperial College near infrared spectroscopy neuroimaging analysis framework

et al. 2017

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Abstract. This paper describes the Imperial College near infrared spectroscopy neuroimaging analysis (ICNNA) software tool for functional near infrared spectroscopy neuroimaging data. ICNNA is a MATLAB-based objectoriented framework encompassing an application programming interface and a graphical user interface. ICNNA incorporates reconstruction based on the modified Beer-Lambert law and basic processing and data validation capabilities. Emphasis is placed on the full experiment rather than individual neuroimages as the central element of analysis. The software offers three types of analyses including classical statistical methods based on comparison of changes in relative concentrations of hemoglobin between the task and baseline periods, graph theory-based metrics of connectivity and, distinctively, an analysis approach based on manifold embedding. This paper presents the different capabilities of ICNNA in its current version.

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Wavelet analysis for detecting body-movement artifacts in optical topography signals

Cited by 50 publications

References 13 publications

Measuring tissue hemodynamics and oxygenation by continuous-wave functional near-infrared spectroscopy—how robust are the different calculation methods against movement artifacts?

Measuring tissue hemodynamics and oxygenation by continuous-wave functional near-infrared spectroscopy—how robust are the different calculation methods against movement artifacts?

Illuminating the Black Box: Investigating Prefrontal Cortical Hemodynamics during Exercise with Near-Infrared Spectroscopy

Imperial College near infrared spectroscopy neuroimaging analysis framework

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