Revista Mexicana de Ingeniería Biomédica最新文献

Gammatone-Frequency Cepstral Coefficients Based Fear Emotion Level Recognition System 基于伽马酮-频率共振频率系数的恐惧情绪等级识别系统

Revista Mexicana de Ingeniería Biomédica Pub Date : 2024-05-01 DOI: 10.17488/rmib.45.2.1

Barlian Henryranu Prasetio, La Ode Adriyan Hazmar, Dahnial Syauqy, E. R. Widasari

{"title":"Gammatone-Frequency Cepstral Coefficients Based Fear Emotion Level Recognition System","authors":"Barlian Henryranu Prasetio, La Ode Adriyan Hazmar, Dahnial Syauqy, E. R. Widasari","doi":"10.17488/rmib.45.2.1","DOIUrl":"https://doi.org/10.17488/rmib.45.2.1","url":null,"abstract":"Emotions represent affective states that induce alterations in behavior and interactions within one's environment. An avenue for discerning human emotions lies in the realm of speech analysis. Empirical evidence indicates that 1.6 million Indonesian teenagers grapple with mental anxiety disorders, characterized by sensations of fear or ambiguous vigilance. This work endeavors to devise a tool for discerning an individual's emotional state through voice processing, focusing particularly on fear emotions stratified into three levels of intensity: low, medium, and high. The proposed system employs Gammatone-Frequency Cepstral Coefficients (GFCC) for feature extraction, leveraging the efficacy of its gamma filter in reducing noise. Furthermore, a Random Forest (RF) Classifier is integrated to facilitate the recognition of fear's emotional intensity in speech signals. The system is deployed on a Raspberry Pi 4B and establishes a Bluetooth connection using the RFCOMM communication protocol to an Android application, presenting the classification results. The outcomes reveal that the Signal-to-Noise Reduction achieved through GFCC extraction surpasses that of Mel-Frequency Cepstral Coefficients (MFCC). In terms of accuracy, the implemented recognition system for fear emotion levels, employing GFCC extraction and Random Forest Classifier, attains a commendable accuracy of 73.33 %.","PeriodicalId":515065,"journal":{"name":"Revista Mexicana de Ingeniería Biomédica","volume":"67 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141030773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Multiple Sequence Alignment with Genetic Algorithms: A Bioinformatics Approach in Biomedical Engineering 用遗传算法增强多序列比对：生物医学工程中的生物信息学方法

Revista Mexicana de Ingeniería Biomédica Pub Date : 2024-05-01 DOI: 10.17488/rmib.45.2.4

Ernesto Rios-Willars, Jennifer Velez-Segura, María Magdalena Delabra-Salinas

{"title":"Enhancing Multiple Sequence Alignment with Genetic Algorithms: A Bioinformatics Approach in Biomedical Engineering","authors":"Ernesto Rios-Willars, Jennifer Velez-Segura, María Magdalena Delabra-Salinas","doi":"10.17488/rmib.45.2.4","DOIUrl":"https://doi.org/10.17488/rmib.45.2.4","url":null,"abstract":"This study aimed to create a genetic information processing technique for the problem of multiple alignment of genetic sequences in bioinformatics. The objective was to take advantage of the computer hardware's capabilities and analyze the results obtained regarding quality, processing time, and the number of evaluated functions. The methodology was based on developing a genetic algorithm in Java, which resulted in four different versions: Gp1, Gp2, Gp3 and Gp4 . A set of genetic sequences were processed, and the results were evaluated by analyzing numerical behavior profiles. The research found that algorithms that maintained diversity in the population produced better quality solutions, and parallel processing reduced processing time. It was observed that the time required to perform the process decreased, according to the generated performance profile. The study concluded that conventional computer equipment can produce excellent results when processing genetic information if algorithms are optimized to exploit hardware resources. The computational effort of the hardware used is directly related to the number of evaluated functions. Additionally, the comparison method based on the determination of the performance profile is highlighted as a strategy for comparing the algorithm results in different metrics of interest, which can guide the development of more efficient genetic information processing techniques.","PeriodicalId":515065,"journal":{"name":"Revista Mexicana de Ingeniería Biomédica","volume":"317 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141138803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Involvement of the Lung Parenchyma Analyzed by Frequency Components of the Tidal Volume Assessed by Electrical Bioimpedance 通过生物电阻抗评估潮气量的频率成分分析肺实质的受累情况

Revista Mexicana de Ingeniería Biomédica Pub Date : 2024-05-01 DOI: 10.17488/rmib.45.2.2

Francisco Miguel Vargas Luna, María Isabel Delgadillo Cano, Pere Joan Riu Costa, S. Kashina, José Marco Balleza Ordaz

{"title":"Involvement of the Lung Parenchyma Analyzed by Frequency Components of the Tidal Volume Assessed by Electrical Bioimpedance","authors":"Francisco Miguel Vargas Luna, María Isabel Delgadillo Cano, Pere Joan Riu Costa, S. Kashina, José Marco Balleza Ordaz","doi":"10.17488/rmib.45.2.2","DOIUrl":"https://doi.org/10.17488/rmib.45.2.2","url":null,"abstract":"Pulmonary function tests are vital for detecting pathologies, especially chronic obstructive pulmonary diseases (COPD), emphasizing the importance of assessing lung parenchyma involvement in maintaining proper gas exchange. Electrical impedance tomography (EIT) offers a non-invasive alternative for respiratory function evaluation while preserving natural breathing. We propose using EIT to detect lung parenchyma conditions by analyzing tidal volume patterns (by averaging the impedance image) in the frequency domain. Twenty COPD patients underwent simultaneous evaluation with a pneumotachometer and an EIT device, performing three 30-second respiratory maneuvers. FFT spectra analysis yielded parameters, including the area under the curve and quartiles (25 %, 50 %, 75 %) of power values in six frequency regions. Correlations between these parameters and clinical test results (pulmonary diffusing capacity and arterial blood gas analysis) revealed significant associations, particularly with PCO2. Multiple linear regression analysis predicted PCO2 with an R2adj = 0.827, suggesting the potential for non-invasively detecting lung parenchyma affectation by correlating FFT bioimpedance ventilatory patterns with gas exchange performance in COPD patients.","PeriodicalId":515065,"journal":{"name":"Revista Mexicana de Ingeniería Biomédica","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141140758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Salvia rosmarinus Spenn. Main Applications and Ultrasonic Extraction of Secondary Metabolites: a General Review 丹参次生代谢物的主要应用和超声波萃取：综述

Revista Mexicana de Ingeniería Biomédica Pub Date : 2024-05-01 DOI: 10.17488/rmib.45.2.3

José Juan Cedillo-Portillo, Wendy Yaneth Villastrigo-López, Adali Oliva Castañeda-Facio, Sandra Cecilia Esparza-González, Elia Martha Múzquiz-Ramos, Aidé Sáenz-Galindo

{"title":"Salvia rosmarinus Spenn. Main Applications and Ultrasonic Extraction of Secondary Metabolites: a General Review","authors":"José Juan Cedillo-Portillo, Wendy Yaneth Villastrigo-López, Adali Oliva Castañeda-Facio, Sandra Cecilia Esparza-González, Elia Martha Múzquiz-Ramos, Aidé Sáenz-Galindo","doi":"10.17488/rmib.45.2.3","DOIUrl":"https://doi.org/10.17488/rmib.45.2.3","url":null,"abstract":"This paper provides an overview of the various applications of the bioactive compounds found in S. rosmarinus. at present. Additionally, it explores emerging technologies for its extraction, such as ultrasound, which is an effective, fast, and sustainable technology for obtaining these secondary metabolites from this millenary plant. S. rosmarinus has gained considerable importance due to its beneficial properties, including antimicrobial, antioxidant, hepatoprotective, anti-inflammatory, and anticarcinogenic effects. These effects result from the different metabolites, which, without the use of ultrasound, are produced in S. rosmarinus. The main objective of this research is to provide an overview of some of the main applications in which S. rosmarinus is involved and to present a viable and effective alternative for the extraction of the different metabolites it contains using a technique such as ultrasound. The literature review was performed by searching for information on digital platforms such as SciFinder, PubMed, Scopus, and ScienceDirect, using keywords such as Rosemary, S. rosmarinus, ultrasound, green extraction, and secondary metabolite.","PeriodicalId":515065,"journal":{"name":"Revista Mexicana de Ingeniería Biomédica","volume":"120 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141033672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preventive Detection of Driver Drowsiness from EEG Signals using Fuzzy Expert Systems 利用模糊专家系统从脑电图信号中预防性检测驾驶员嗜睡状况

Revista Mexicana de Ingeniería Biomédica Pub Date : 2024-02-18 DOI: 10.17488/rmib.45.1.1

Rony Almiron, Bruno Adolfo Castillo, Andrés Montoya Angulo, Elvis Supo, Jesús José Fortunato Talavera, Daniel Domingo Yanyachi Aco Cardenas

{"title":"Preventive Detection of Driver Drowsiness from EEG Signals using Fuzzy Expert Systems","authors":"Rony Almiron, Bruno Adolfo Castillo, Andrés Montoya Angulo, Elvis Supo, Jesús José Fortunato Talavera, Daniel Domingo Yanyachi Aco Cardenas","doi":"10.17488/rmib.45.1.1","DOIUrl":"https://doi.org/10.17488/rmib.45.1.1","url":null,"abstract":"Currently, the percentage of traffic accidents has increased, and according to statistics, this percentage will continue to increase every year, so it is necessary to develop new technologies to prevent this kind of accidents. This paper presents a drowsiness detection system based on electroencephalogram (EEG) signals using a pair of channels (Fp1 and Fp2) applied to drivers before entering their vehicles. First, this model detects the relationship between the area under the curve (AUC) of alpha brain waves, an effective parameter for detecting drowsiness. Then, the extracted information is passed to a fuzzy expert system (FES) that classifies the subject's state as \"alert\" or \"sleepy\"; the criterion used was a threshold and training with subjective levels. The proposed system was compared with neural network models, such as support vector machine (SVM), K nearest neighbors (KNN), and random forest (RF). Measurements of one hundred and twenty minutes were performed on each of the ten drivers for two days to test the system. The tests confirm that this system is suitable for preventive measures and that the fuzzy system is superior to traditional neural network methods.","PeriodicalId":515065,"journal":{"name":"Revista Mexicana de Ingeniería Biomédica","volume":"365 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140453379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonlinear Mathematical Analysis based on an Insulin-Pancreatic Cells Model in the Presence of Epinephrine 基于肾上腺素作用下胰岛素-胰腺细胞模型的非线性数学分析

Revista Mexicana de Ingeniería Biomédica Pub Date : 2024-02-18 DOI: 10.17488/rmib.45.1.2

Diana Gamboa, Paúl J. Campos

{"title":"Nonlinear Mathematical Analysis based on an Insulin-Pancreatic Cells Model in the Presence of Epinephrine","authors":"Diana Gamboa, Paúl J. Campos","doi":"10.17488/rmib.45.1.2","DOIUrl":"https://doi.org/10.17488/rmib.45.1.2","url":null,"abstract":"In this work, a nonlinear model is studied based on ordinary differential equations that describe the relationship between the mass of cells and the secretion of epinephrine. It analyzes the impact of stress associated with the cause of increased blood pressure and glucose levels in the body. The mathematical analysis is based on the appliance of the nonlinear control theory to define the maximum load capacity for each state variable, establishing a bounded positive invariant domain through the Localization of Compact Invariants Sets (LCIS) method. The objective is to determine the effects of epinephrine secretion on the increase of blood glucose levels; therefore, this analysis's results define the necessary and sufficient conditions in which epinephrine raises insulin and glucose levels in the presence of cells. The interest in studying this type of disease focuses on searching for a treatment or an analysis that guarantees complete control of glucose levels. This work's development and mathematical analysis strengthen current research on insulin-dependent diabetes mellitus around critical epinephrine factors that imply an increase in glucose in the body.","PeriodicalId":515065,"journal":{"name":"Revista Mexicana de Ingeniería Biomédica","volume":"34 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140452844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study of the Length of time Window in Emotion Recognition based on EEG Signals 基于脑电信号的情绪识别中的时间窗口长度研究

Revista Mexicana de Ingeniería Biomédica Pub Date : 2024-02-18 DOI: 10.17488/rmib.45.1.3

Alejandro Jarillo Silva, Víctor Alberto Gómez Pérez, Omar Arturo Domínguez Ramírez

{"title":"Study of the Length of time Window in Emotion Recognition based on EEG Signals","authors":"Alejandro Jarillo Silva, Víctor Alberto Gómez Pérez, Omar Arturo Domínguez Ramírez","doi":"10.17488/rmib.45.1.3","DOIUrl":"https://doi.org/10.17488/rmib.45.1.3","url":null,"abstract":"The objective of this research is to present a comparative analysis using various lengths of time windows (TW) during emotion recognition, employing machine learning techniques and the portable wireless sensing device EPOC+. In this study, entropy will be utilized as a feature to evaluate the performance of different classifier models across various TW lengths, based on a dataset of EEG signals extracted from individuals during emotional stimulation. Two types of analyses were conducted: between-subjects and within-subjects. Performance measures such as accuracy, area under the curve, and Cohen's Kappa coefficient were compared among five supervised classifier models: K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), and Decision Trees (DT). The results indicate that, in both analyses, all five models exhibit higher performance in TW ranging from 2 to 15 seconds, with the 10 seconds TW particularly standing out for between-subjects analysis and the 5-second TW for within-subjects; furthermore, TW exceeding 20 seconds are not recommended. These findings provide valuable guidance for selecting TW in EEG signal analysis when studying emotions.","PeriodicalId":515065,"journal":{"name":"Revista Mexicana de Ingeniería Biomédica","volume":"281 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140452606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0