1
|
Cuesta-Frau D, Novák D, Burda V, Molina-Picó A, Vargas B, Mraz M, Kavalkova P, Benes M, Haluzik M. Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics. ENTROPY 2018; 20:e20110871. [PMID: 33266595 PMCID: PMC7512430 DOI: 10.3390/e20110871] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 11/07/2018] [Accepted: 11/09/2018] [Indexed: 01/02/2023]
Abstract
This paper analyses the performance of SampEn and one of its derivatives, Fuzzy Entropy (FuzzyEn), in the context of artifacted blood glucose time series classification. This is a difficult and practically unexplored framework, where the availability of more sensitive and reliable measures could be of great clinical impact. Although the advent of new blood glucose monitoring technologies may reduce the incidence of the problems stated above, incorrect device or sensor manipulation, patient adherence, sensor detachment, time constraints, adoption barriers or affordability can still result in relatively short and artifacted records, as the ones analyzed in this paper or in other similar works. This study is aimed at characterizing the changes induced by such artifacts, enabling the arrangement of countermeasures in advance when possible. Despite the presence of these disturbances, results demonstrate that SampEn and FuzzyEn are sufficiently robust to achieve a significant classification performance, using records obtained from patients with duodenal-jejunal exclusion. The classification results, in terms of area under the ROC of up to 0.9, with several tests yielding AUC values also greater than 0.8, and in terms of a leave-one-out average classification accuracy of 80%, confirm the potential of these measures in this context despite the presence of artifacts, with SampEn having slightly better performance than FuzzyEn.
Collapse
Affiliation(s)
- David Cuesta-Frau
- Technological Institute of Informatics, Universitat Politècnica de València, Alcoi Campus, 03801 Alcoi, Spain
- Correspondence: ; Tel.: +34-96-652-85-05
| | - Daniel Novák
- Department of Cybernetics, Czech Technical University in Prague, 16000 Prague, Czech Republic
| | - Vacláv Burda
- Department of Cybernetics, Czech Technical University in Prague, 16000 Prague, Czech Republic
| | - Antonio Molina-Picó
- Technological Institute of Informatics, Universitat Politècnica de València, Alcoi Campus, 03801 Alcoi, Spain
| | - Borja Vargas
- Internal Medicine Department, Teaching Hospital of Móstoles, 28935 Madrid, Spain
| | - Milos Mraz
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic
- Department of Medical Biochemistry and Laboratory Diagnostics, General University Hospital, Charles University in Prague 1st Faculty of Medicine, 12108 Prague, Czech Republic
| | - Petra Kavalkova
- Department of Medical Biochemistry and Laboratory Diagnostics, General University Hospital, Charles University in Prague 1st Faculty of Medicine, 12108 Prague, Czech Republic
| | - Marek Benes
- Hepatogastroenterology Department, Transplant centre, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic
| | - Martin Haluzik
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic
- Department of Medical Biochemistry and Laboratory Diagnostics, General University Hospital, Charles University in Prague 1st Faculty of Medicine, 12108 Prague, Czech Republic
- Obesitology Department, Institute of Endocrinology, 11694 Prague, Czech Republic
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic
| |
Collapse
|
2
|
Papassotiriou I, Nifli AP. Assessing performance in pre-season wrestling athletes using biomarkers. Biochem Med (Zagreb) 2018; 28:020706. [PMID: 29666559 PMCID: PMC5898958 DOI: 10.11613/bm.2018.020706] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2017] [Accepted: 03/07/2018] [Indexed: 11/01/2022] Open
Abstract
Introduction Although regular training introduces the desired changes in athletes' metabolism towards optimal final performance, literature is rarely focusing on the metabolic responses off-competition. Therefore, the aim of this study was to evaluate biochemical indices during typical preseason training in wrestling athletes. Materials and methods Twenty male freestyle and Greco-roman wrestlers (14 to 31 years) followed a typical session of the preparatory phase. Capillary blood glucose and lactate concentrations were assessed immediately before and after training. Protein, microalbumin, creatinine and their ratio were estimated the next day in the first morning urine. Results Pre-training lactate concentrations were lower in Greco-roman than in freestyle wrestlers (1.8 (1.4 - 2.1) vs. 2.9 (2.1 - 3.1) mmol/L). Exertion resulted in a significant increase in lactate concentrations, by 3.2 (2.6 - 4.1) mmol/L in Greco-roman wrestlers and 4.5 (3.4 - 5.3) mmol/L in freestylers. These changes were found to correlate with athlete's sport experience (rs = 0.71, P < 0.001). Glucose concentrations were also significantly increased by 0.5 (0.1 - 0.8) mmol/L, in correlation with lactate change (rs = 0.49, P = 0.003). Twelve subjects exhibited urine albumin concentrations at 30 mg/L, and thirteen creatinine concentrations around 17.7 mmol/L. The corresponding ratio was found abnormal in 4 cases, especially when creatinine excretion and body fat were low. Conclusions Wrestling training is associated with mobilization of both lactic and alactic anaerobic energy systems. The regular comprehensive monitoring of biochemical markers would be advantageous in determining the efficiency of the preparatory phase and the long-term physiological adaptations towards the competition phase, or athlete's overtraining.
Collapse
Affiliation(s)
- Ionas Papassotiriou
- School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Athens, Greece.,Department of Nutrition & Dietetics, Technological Educational Institute of Thessaly, Karditsa, Greece
| | - Artemissia-Phoebe Nifli
- Department of Nutrition & Dietetics, Technological Educational Institute of Thessaly, Karditsa, Greece.,Department of Biochemistry & Biotechnology, University of Thessaly, Larissa, Greece.,Biotechnology, Technological Research Center of Thessaly, Larissa, Greece
| |
Collapse
|