Oleksandr Makeyev

Oleksandr Makeyev

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 April 2008 in Physiological Measurement
Verified
Journal Article
Closed access
Edward SazonovEdward Sazonov
Edward Sazonov
SSStephanie Schuckers
Stephanie Schuckers
PLPaulo Lopez-Meyer
Paulo Lopez-Meyer
OMOleksandr Makeyev
Oleksandr Makeyev
NSNadezhda Sazonova
Nadezhda Sazonova
MNMichael Neuman
Michael Neuman
A methodology of studying of ingestive behavior by non-invasive monitoring of swallowing (deglutition) and chewing (mastication) has been developed. The target application for the developed methodology is to study the behavioral patterns of food consumption and producing volumetric and weight estimates of energy intake. Monitoring is non-invasive based on detecting swallowing by a sound sensor located over laryngopharynx or by a bone-conduction microphone and detecting chewing through a below-the-ear strain sensor. Proposed sensors may be implemented in a wearable monitoring device, thus enabling monitoring of ingestive behavior in free-living individuals. In this paper, the goals in the development of this methodology are two-fold. First, a system comprising sensors, related hardware and software for multi-modal data capture is designed for data collection in a controlled environment. Second, a protocol is developed for manual scoring of chewing and swallowing for use as a gold standard. The multi-modal data capture was tested by measuring chewing and swallowing in 21 volunteers during periods of food intake and quiet sitting (no food intake). Video footage and sensor signals were manually scored by trained raters. Inter-rater reliability study for three raters conducted on the sample set of five subjects resulted in high average intra-class correlation coefficients of 0.996 for bites, 0.988 for chews and 0.98 for swallows. The collected sensor signals and the resulting manual scores will be used in future research as a gold standard for further assessment of sensor design, development of automatic pattern recognition routines and study of the relationship between swallowing/chewing and ingestive behavior.

29 September 2009 in IEEE Transactions on Biomedical Engineering
Verified
Journal Article
Closed access
Edward SazonovEdward Sazonov
Edward Sazonov
OMOleksandr Makeyev
Oleksandr Makeyev
SSStephanie Schuckers
Stephanie Schuckers
PLPaulo Lopez-Meyer
Paulo Lopez-Meyer
EMEdward L. Melanson
Edward L. Melanson
MNMichael R. Neuman
Michael R. Neuman
Our understanding of etiology of obesity and overweight is incomplete due to lack of objective and accurate methods for monitoring of ingestive behavior (MIB) in the free-living population. Our research has shown that frequency of swallowing may serve as a predictor for detecting food intake, differentiating liquids and solids, and estimating ingested mass. This paper proposes and compares two methods of acoustical swallowing detection from sounds contaminated by motion artifacts, speech, and external noise. Methods based on mel-scale Fourier spectrum, wavelet packets, and support vector machines are studied considering the effects of epoch size, level of decomposition, and lagging on classification accuracy. The methodology was tested on a large dataset (64.5 h with a total of 9966 swallows) collected from 20 human subjects with various degrees of adiposity. Average weighted epoch-recognition accuracy for intravisit individual models was 96.8%, which resulted in 84.7% average weighted accuracy in detection of swallowing events. These results suggest high efficiency of the proposed methodology in separation of swallowing sounds from artifacts that originate from respiration, intrinsic speech, head movements, food ingestion, and ambient noise. The recognition accuracy was not related to body mass index, suggesting that the methodology is suitable for obese individuals.

21 January 2015 in The FASEB Journal
Verified
Journal Article
Open access
PDF file
JZJiyong Zhang
Jiyong Zhang
GSGrazyna B. Sadowska
Grazyna B. Sadowska
XCXiaodi Felix Chen
Xiaodi Felix Chen
SPSeon Yeong Park
Seon Yeong Park
JKJeong‐Eun Kim
Jeong‐Eun Kim
Barbara S StonestreetBarbara S Stonestreet
Barbara S Stonestreet
Impaired blood‐brain barrier function represents an important component of hypoxic‐ischemic brain injury in the perinatal period. Proinflammatory cytokines could contribute to ischemia‐related blood‐brain barrier dysfunction. IL‐6 increases vascular endothelial cell monolayer permeability in vitro. However, contributions of IL‐6 to blood‐brain barrier abnormalities have not been examined in the immature brain in vivo. We generated pharmacologic quantities of ovine‐specific neutralizing anti‐IL‐6 mAbs and systemically infused mAbs into fetal sheep at 126 days of gestation after exposure to brain ischemia. Anti‐IL‐6 mAbs were measured by ELISA in fetal plasma, cerebral cortex, and cerebrospinal fluid, blood‐brain barrier permeability was quantified using the blood‐to‐brain transfer constant in brain regions, and IL‐6, tight junction proteins, and plasmalemma vesicle protein (PLVAP) were detected by Western immunoblot. Anti‐IL‐6 mAb infusions resulted in increases in mAb ( P < 0.05) in plasma, brain parenchyma, and cerebrospinal fluid and decreases in brain IL‐6 protein. Twenty‐four hours after ischemia, anti‐IL‐6 mAb infusions attenuated ischemia‐related increases in blood‐brain barrier permeability and modulated tight junction and PLVAP protein expression in fetal brain. We conclude that inhibiting the effects of IL‐6 protein with systemic infusions of neutralizing antibodies attenuates ischemia‐related increases in blood‐brain barrier permeability by inhibiting IL‐6 and modulates tight junction proteins after ischemia.—Zhang, J., Sadowska, G. B., Chen, X., Park, S. Y., Kim, J.‐E., Bodge, C. A., Cummings, E., Lim, Y.‐P., Makeyev, O., Besio, W. G., Gaitanis, J., Banks, W. A., Stonestreet, B. S. Anti‐IL‐6 neutralizing antibody modulates blood‐brain barrier function in the ovine fetus. FASEB J. 29, 1739‐1753 (2015). www.fasebj.org

1 November 2012 in Biomedical Signal Processing and Control
Verified
Journal Article
Open access
OMOleksandr Makeyev
Oleksandr Makeyev
PLPaulo Lopez-Meyer
Paulo Lopez-Meyer
SSStephanie Schuckers
Stephanie Schuckers
WBWalter Besio
Walter Besio
Edward SazonovEdward Sazonov
Edward Sazonov
This paper presents a novel fully automatic food intake detection methodology, an important step toward objective monitoring of ingestive behavior. The aim of such monitoring is to improve our understanding of eating behaviors associated with obesity and eating disorders. The proposed methodology consists of two stages. First, acoustic detection of swallowing instances based on mel-scale Fourier spectrum features and classification using support vector machines is performed. Principal component analysis and a smoothing algorithm are used to improve swallowing detection accuracy. Second, the frequency of swallowing is used as a predictor for detection of food intake episodes. The proposed methodology was tested on data collected from 12 subjects with various degrees of adiposity. Average accuracies of >80% and >75% were obtained for intra-subject and inter-subject models correspondingly with a temporal resolution of 30s. Results obtained on 44.1 hours of data with a total of 7305 swallows show that detection accuracies are comparable for obese and lean subjects. They also suggest feasibility of food intake detection based on swallowing sounds and potential of the proposed methodology for automatic monitoring of ingestive behavior. Based on a wearable non-invasive acoustic sensor the proposed methodology may potentially be used in free-living conditions.

1 December 2012 in Neuroscience
Verified
Journal Article
Open access
XCXiaodi Felix Chen
Xiaodi Felix Chen
STS.W. Threlkeld
S.W. Threlkeld
ECE.E. Cummings
E.E. Cummings
IJI. Juan
I. Juan
OMOleksandr Makeyev
Oleksandr Makeyev
Barbara S StonestreetBarbara S Stonestreet
Barbara S Stonestreet
The blood-brain barrier is a restrictive interface between the brain parenchyma and the intravascular compartment. Tight junctions contribute to the integrity of the blood-brain barrier. Hypoxic-ischemic damage to the blood-brain barrier could be an important component of fetal brain injury. We hypothesized that increases in blood-brain barrier permeability after ischemia depend upon the duration of reperfusion and that decreases in tight junction proteins are associated with the ischemia-related impairment in blood-brain barrier function in the fetus. Blood-brain barrier function was quantified with the blood-to-brain transfer constant (K(i)) and tight junction proteins by Western immunoblot in fetal sheep at 127 days of gestation without ischemia, and 4, 24, or 48 h after ischemia. The largest increase in K(i) (P<0.05) was 4 h after ischemia. Occludin and claudin-5 expressions decreased at 4 h, but returned toward control levels 24 and 48 h after ischemia. Zonula occludens-1 and -2 decreased after ischemia. Inverse correlations between K(i) and tight junction proteins suggest that the decreases in tight junction proteins contribute to impaired blood-brain barrier function after ischemia. We conclude that impaired blood-brain barrier function is an important component of hypoxic-ischemic brain injury in the fetus, and that increases in quantitatively measured barrier permeability (K(i)) change as a function of the duration of reperfusion after ischemia. The largest increase in permeability occurs 4 h after ischemia and blood-brain barrier function improves early after injury because the blood-brain barrier is less permeable 24 and 48 than 4 h after ischemia. Changes in the tight junction molecular composition are associated with increases in blood-brain barrier permeability after ischemia.

1 October 2009 in Obesity
Verified
Journal Article
Open access
PDF file
Edward SazonovEdward Sazonov
Edward Sazonov
SSStephanie A.C. Schuckers
Stephanie A.C. Schuckers
PLPaulo Lopez‐Meyer
Paulo Lopez‐Meyer
OMOleksandr Makeyev
Oleksandr Makeyev
EMEdward L. Melanson
Edward L. Melanson
JHJames O. Hill
James O. Hill
Understanding of eating behaviors associated with obesity requires objective and accurate monitoring of food intake patterns. Accurate methods are available for measuring total energy expenditure and...