scholarly journals Application of Classification Models to Pharyngeal High-Resolution Manometry

2012 ◽  
Vol 55 (3) ◽  
pp. 892-902 ◽  
Author(s):  
Jason D. Mielens ◽  
Matthew R. Hoffman ◽  
Michelle R. Ciucci ◽  
Timothy M. McCulloch ◽  
Jack J. Jiang
Keyword(s):  
High Resolution ◽  
Data Extraction ◽  
Upper Esophageal Sphincter ◽  
Support Vector ◽  
Data Sets ◽  
Classification Models ◽  
High Resolution Manometry ◽  
Individual Contributions ◽  
The Individual ◽  
Time Required

Purpose The authors present 3 methods of performing pattern recognition on spatiotemporal plots produced by pharyngeal high-resolution manometry (HRM). Method Classification models, including the artificial neural networks (ANNs) multilayer perceptron (MLP) and learning vector quantization (LVQ), as well as support vector machines (SVM), were evaluated for their ability to identify disordered swallowing. Data were collected from 12 control subjects and 13 subjects with swallowing disorders; for this experiment, these subjects swallowed 5-ml water boluses. Following extraction of relevant parameters, a subset of the data was used to train the models, and the remaining swallows were then independently classified by the networks. Results All methods produced high average classification accuracies, with MLP, SVM, and LVQ achieving accuracies of 96.44%, 91.03%, and 85.39%, respectively. When evaluating the individual contributions of each parameter and groups of parameters to the classification accuracy, parameters pertaining to the upper esophageal sphincter were most valuable. Conclusion Classification models show high accuracy in segregating HRM data sets and represent 1 method of facilitating application of HRM to the clinical setting by eliminating the time required for some aspects of data extraction and interpretation.

The upper esophageal sphincter in the high-resolution manometry era

2021 ◽  
Author(s):  
Pedro Norton ◽  
Fernando A. M. Herbella ◽  
Francisco Schlottmann ◽  
Marco G. Patti
Keyword(s):  
High Resolution ◽  
Upper Esophageal Sphincter ◽  
High Resolution Manometry ◽  
Esophageal Sphincter

scholarly journals Using Machine Learning Algorithms on data residing in SAP ERP Application to predict equipment failures

2018 ◽  
Vol 7 (2.28) ◽  
pp. 312
Author(s):  
Manu Kohli
Keyword(s):  
Data Extraction ◽  
Indirect Costs ◽  
True Positive Rate ◽  
Spare Parts ◽  
Machine Learning Algorithms ◽  
Machine Language ◽  
Support Vector ◽  
Data Sets ◽  
Equipment Failure ◽  
Using Data

Asset intensive Organizations have searched long for a framework model that would timely predict equipment failure. Timely prediction of equipment failure substantially reduces direct and indirect costs, unexpected equipment shut-downs, accidents, and unwarranted emission risk. In this paper, the author proposes a model that can predict equipment failure by using data from SAP Plant Maintenance module. To achieve that author has applied data extraction algorithm and numerous data manipulations to prepare a classification data model consisting of maintenance records parameters such as spare parts usage, time elapsed since last completed maintenance and the period to the next scheduled maintained and so on. By using unsupervised learning technique of clustering, the author observed a class to cluster evaluation of 80% accuracy. After that classifier model was trained using various machine language (ML) algorithms and subsequently tested on mutually exclusive data sets with an objective to predict equipment breakdown. The classifier model using ML algorithms such as Support Vector Machine (SVM) and Decision Tree (DT) returned an accuracy and true positive rate (TPR) of greater than 95% to predict equipment failure. The proposed model acts as an Advanced Intelligent Control system contributing to the Cyber-Physical Systems for asset intensive organizations. 

scholarly journals Adequate Number of Swallows for Pharyngeal Pressure Measurement of a Subject using High-resolution Manometry

2020 ◽  
Author(s):  
Matsusato Tsuyumu ◽  
Takanori Hama ◽  
Takakuni Kato ◽  
Hiromi Kojima
Keyword(s):  
High Resolution ◽  
Major Change ◽  
Upper Esophageal Sphincter ◽  
Rate Of Change ◽  
Sphincter Pressure ◽  
High Resolution Manometry ◽  
Average Value ◽  
Pharyngeal Pressure ◽  
Single Person ◽  
The Mean

Abstract Introduction The number of pressure measurements that need to be recorded using high-resolution manometry (HRM) for the accurate evaluation of pharyngeal function is not well established. Objective The purpose of this study is to clarify the number of swallows required to obtain an accurate pharyngeal manometric profile of a person. Methods Forty healthy adults performed a dry swallow and bolus swallows using 3-, 5-, or 10 ml of water and underwent measurements using the Starlet HRM system. Each subject underwent 10 swallows for each of the four bolus volume conditions. Results The mean of up to seven measurements of maximum pre-swallow upper esophageal sphincter pressure with 10 ml of swallow was close to the mean of up to eight measurements in 95% of the subjects. Similarly, the rate of change of the average for the eighth and ninth measurements and the rate of change for the average of the ninth and tenth measurements were less than 5%. When the other parameters were similarly measured up to the sixth measurement, no major change in the average value was observed even if more measurements were taken. Conclusion A minimum of six measurements are required, and seven swallows are sufficient for evaluating the pharyngeal manometric profile of a single person. This number of measurements can be a useful criterion when performing HRM measurements on individual subjects.

S118 – Study of Pharyngeal Swallowing by High-resolution Manometry

2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P116-P117
Author(s):  
Kenji Takasaki ◽  
Umeki Hiroshi ◽  
Kaori Enatsu ◽  
Fujinobu Tanaka ◽  
Hidetaka Kumagami ◽  
...  
Keyword(s):  
High Resolution ◽  
Normal Values ◽  
Upper Esophageal Sphincter ◽  
Cervical Esophagus ◽  
High Resolution Manometry ◽  
Maximum Value ◽  
Physiological Information ◽  
Asymptomatic Adult ◽  
Esophageal Sphincter ◽  
Pharyngeal Swallowing

Objectives This study aimed to demonstrate the feasibility of a novel high-resolution manometry (HRM) system, and to establish normal values of swallowing pressures along the velopharynx and upper esophagus. Methods 33 asymptomatic adult Japanese controls were studied. A solid-state HRM assembly with 36 circumferential sensors spaced 1 cm apart was positioned to record pressures during swallowing from the velopharynx to the upper esophagus. The maximum values of the swallowing (dry and 5 ml of water) pressures at velo, meso-hypopharynx, and at the upper esophageal sphincter (UES) were measured. The resting UES pressure, the length of the part in the cervical esophagus showing the resting UES pressure, and the distance from the nostril to the above-mentioned points of pressure were also measured. Results The maximum value of dry and water swallowing pressures at the velopharynx, meso-hypopharynx and UES, and the distances from the nasal vestibulum to each point were 132.3±61.3 (mmHg, mean ± standard deviation), and 146.5±77.5, 171.6±52.0, and 176.3±74.4, 163.5±70.6, and 239.3±80.1, and 9.8±1.2 (cm), and 9.8±1.3, 13.6±1.6, and 13.7±1.5, 17.0±1.9 and 17.1±1.6, respectively. The maximum value of the resting USE pressure, the length of the part in the cervical esophagus showing the resting USE pressure, and the distance from the nostril to the mid-point of the length of the resting UES pressure were 66.6±28.1 mmHg, 3.8±0.7 cm, and 18.2±1.6 cm, respectively. Conclusions The present study provides anatomical and physiological information about normal swallowing along the velopharynx and upper esophagus, which will be an aid to future clinical and investigative studies.

Upper Esophageal Sphincter Evaluation of High Resolution Manometry in Patients with Muscle Tension Dysphagia

2016 ◽  
Vol 111 ◽  
pp. S1246-S1247
Author(s):  
Jennifer Horsley-Silva ◽  
Hassan Siddiki ◽  
Christina Kang ◽  
David Lott ◽  
Joseph Hentz ◽  
...  
Keyword(s):  
High Resolution ◽  
Muscle Tension ◽  
Upper Esophageal Sphincter ◽  
High Resolution Manometry ◽  
Esophageal Sphincter
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