{"title":"Design of an optical portable system for detection of pH","authors":"A. Gómez, J. M. Gutiérrez, R. Muñoz","doi":"10.1109/GMEPE-PAHCE.2018.8400745","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400745","url":null,"abstract":"The objective of this work is to present an ongoing research related to the development of a portable optical system based on LED technology and the use of colorimetric indicators as a contrast medium for the optical detection of pH in liquid samples based on absorbance detection. The first developed prototype had 6 channels: one for each LED in duplicate, which allowed a comparison of a reference solution and another one in which the pH will be determined. The designed instrumentation uses an integrated circuit of high sensitivity to light as a detector, six LED light sources and an Arduino microcontroller. The absorbance signals obtained are processed off-line in a PC using an artificial neural network programmed in MATLAB® environment. The pH values determined by the designed system were compared with a commercial pH meter obtaining quadratic mean errors lower than 0.056, which indicates the accuracy of the system. This device only needs 112.5 μL of sample to make a measure making it a good alternative when the amount of sample is limited or for liquid biological samples.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115989920","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}
M. Gutiérrez, A. Vera, A. Ramos, J. Gutierrez, L. Leija
{"title":"Measuring the curvature and radiation distribution of spherically focused ultrasound transducers using the electric continuity and the emitted pressure","authors":"M. Gutiérrez, A. Vera, A. Ramos, J. Gutierrez, L. Leija","doi":"10.1109/GMEPE-PAHCE.2018.8400766","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400766","url":null,"abstract":"Focused ultrasound has been used in clinic for the treatment of different diseases, but predominantly in oncology. The main characteristic of this technique is the production of a strongly focused acoustic field composed by a near-field and far-field zones, separated by a well-defined focus. Usually, due to the complexity of the vibration of real transducers, this acoustic field is assumed to be produced by a uniform vibrating curved radiator, with a characteristic but unreal acoustic field. If the radiation of the transducer is not uniform, the acoustic field changes importantly. In this paper, we are proposing a technique to characterize the shape of the focused transducers and to measure the radiation distribution very close to the transducer radiating curved surface. The technique uses the electric continuity to detect the position of the transducer surface at each point using a 3D automated positioner (6.4 μm of step resolution). The position is saved, and another measurement is carried out using a hydrophone to measure the pressure at each same point, and obtain the radiating profile. The technique has shown to be appropriate for determining the transducer's shape, with a resolution limited by the positioning system. The pressure radiating profile shown a ring-type behaviors as expected.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123953871","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}
A. Martin, C. Toledo, J. Mercado, A. Vera, L. Leija, J. Gutierrez
{"title":"Evaluation of dry electrodes for sEMG recording","authors":"A. Martin, C. Toledo, J. Mercado, A. Vera, L. Leija, J. Gutierrez","doi":"10.1109/GMEPE-PAHCE.2018.8400758","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400758","url":null,"abstract":"Dry electrodes have become an innovative option to acquire high quality biosignals while occupying less space, eliminating the use of gel and the waste of disposable electrodes for each measurement. To prove their characteristics, dry stainless-steel electrodes were built for sEMG recording, then, their electrical characteristics were obtained, including impedance, frequency response, measure of the signal-to-noise ratio and features of the acquired signal to prove that is useful. The values obtained in the different tests are within those reported for commercial electrodes. Dry electrodes have many possible applications ranging from diagnosis, to therapy or assistive devices, since they do not cause allergies, or use gel and have a size that can be customable to a specific need.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124675169","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}
M. Ruano, G. P. Almeida, F. Palma, J. Raposo, R. T. Ribeiro
{"title":"Reliability of medical databases for the use of real word data and data mining techniques for cardiovascular diseases progression in diabetic patients","authors":"M. Ruano, G. P. Almeida, F. Palma, J. Raposo, R. T. Ribeiro","doi":"10.1109/GMEPE-PAHCE.2018.8400769","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400769","url":null,"abstract":"Medical practice is performed based on clinical research, this being commonly based on evaluation of drugs and therapeutic procedures' effect. With the increase of technology and computational storage facilities, usage of Real World Data (RWD) and Big Data Mining (BDM) techniques is proving to be a useful tool for automated data analysis. Entities dealing daily with medical practice such as clinics and hospitals possess databases with a wellspring of information worthwhile being studied to aid clinicians establishing disease patterns identification, future trends, and therapeutic relationships. Aiming at assessing cardiovascular disease (CVD) progression of diabetic patients, a nearly 20 years old private clinic data-base was studied. Primarily goal, and subject of this paper, was the evaluation of the data-base reliability to continue the study of CVD progression. Manual inspection of the database content revealed missing and misleading fields, inconsistency of inputted instrumental data, temporal and user dependency of fields filling, particularly concerning CV data. But, statistics computed on the 20222 diabetic patients' records whose empty entries were eliminated revealed RWD conclusions coherent with published ones.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116345287","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}
R. Bayareh, H. Maldonado, I. A. Torres, A. Vera, L. Leija
{"title":"Thermographic study of the diabetic foot of patients with diabetes mellitus and healthy patients","authors":"R. Bayareh, H. Maldonado, I. A. Torres, A. Vera, L. Leija","doi":"10.1109/GMEPE-PAHCE.2018.8400742","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400742","url":null,"abstract":"This paper presents a comparison of radiometric measurements in people feet with no pathological history and patients with diabetes mellitus. The readings were made with a thermographic camera prototype developed in the laboratory. Also, healthy feet readings were taken with an industrial thermographic camera and an infrared (IR) thermometer for the comparison of data between the prototype and calibrated equipment. The data were compared to correct the prototype characteristic equation for predict and approximated human skin temperature and search for a thermographic description of the diabetic foot. The difference in infrared energy emitted by the feet is not known. But by the interpretation of the temperature, it was known that the average of the difference between the feet of people with diabetes mellitus and without diabetes is of 4.27 °C for the right foot and 3.39 °C in the left foot. This information was collected with the equipment developed in the laboratory and interpreted with a characteristic equation with 98% correlation. The purpose of this project lies in the development of a first front instrument to be applied to clinics.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114390976","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}
{"title":"Health management based on history of personalized physiological data using linear regression analysis","authors":"K. Kim, J. Seol, D. B. Kim, T. W. Kim, S. H. Kim","doi":"10.1109/GMEPE-PAHCE.2018.8400736","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400736","url":null,"abstract":"Personalized healthcare methods are attracting attention due to the extended life expectancy. A general definition of health is explained by the opposite concept of disease. To maintain a healthy state of the individual, a health management protocol based on user's own physiological data is required for individual. In this paper, we propose a protocol for predicting and managing health information of users based on personal physiological history data using linear regression analysis. Subjects were selected for obesity based on BMI, and linear regression analysis was performed between exercise parameters and obesity index according to personal training exercise. Exercise parameters are cumulative exercise distance and exercise days, and obesity parameters are BMI, body fat rate, and body muscle rate. The user can receive feedback on the predicted date that can reach the health information result and actively participate through the gamification function that visually feedbacks the changing health information through the avatar function of the smart device respectively. These protocols will be applied to a personalized health management platform that will prevent disease and maintain a healthy state in the future.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121126590","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}
J. Kim, J. J. Kim, J. Jo, K. Kim, S. H. Kim, W. S. Chong
{"title":"Development of real-time knee joint angle measurement technology for posture analysis monitoring","authors":"J. Kim, J. J. Kim, J. Jo, K. Kim, S. H. Kim, W. S. Chong","doi":"10.1109/GMEPE-PAHCE.2018.8400738","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400738","url":null,"abstract":"The purpose of this study is to propose a system that can distinguish, analyze, and monitor dynamic and static postures in real time by measuring the knee joint angles of elderly and persons with disability whose capacity to perform lower limb movements in their daily life has been weakened. The proposed posture analysis monitoring system measures the knee joint angle using the wearable module's inertial measurement unit and potentiometer, and then transmits the data to a smartphone through Bluetooth communication. The smartphone application with dynamic and static posture classification algorithm can be used to monitor the user's posture in real time and for future analysis by storing data.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129467573","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}
{"title":"Towards a common affordable E-nose platform for clinical applications and research","authors":"L. F. Valdez, J. M. Gutiérrez","doi":"10.1109/GMEPE-PAHCE.2018.8400740","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400740","url":null,"abstract":"This work presents the advances in the design of a low cost portable e-nose platform for clinical applications and research the system will allow to make the analysis of the volatile organic compounds contained in the breath or other samples, with the aim of being used as a rapid diagnostic tool and help unifying the efforts made by different research laboratories around the world. The partial results show the system budget will be less than 250 USD making it a good alternative even for developing countries and its portability will enable its use in some hard to reach communities.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130267180","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}
P. Mayorga, J. Valdez, G. Chavez, C. Druzgalski, V. Zeljkovic, M. A. Perez
{"title":"VAD driven analysis of thoracic sounds","authors":"P. Mayorga, J. Valdez, G. Chavez, C. Druzgalski, V. Zeljkovic, M. A. Perez","doi":"10.1109/GMEPE-PAHCE.2018.8400729","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400729","url":null,"abstract":"Assessment of Lung Sounds (LS) and Heart sounds (HS), and documentation of their characteristics is a part of routine cardiopulmonary diagnostic procedures. Peculiar acoustic components associated with inspiratory, expiratory, S1 and S2 phases of cardiopulmonary function such as for example asthmatic wheezes serve as useful diagnostic indicators. Supplementing traditional auscultation with automatic detection and categorization of characteristic signals provides opportunities of enhanced long term monitoring which is indispensable in COPD or other cardiac origin abnormalities. Also, due to age related or other sensorial limitations of a health care professional, automatic event detection of LS-HS could significantly enhance these aspects of medical diagnosis. In particular, proposed novel method is based on the elements of VAD (Voice Activity Detection), associated with similar to LS-HS frequency components, and utilization of Gaussian Mixture Models (GMM). The automatic detection with GMM is accompanied by Mel Frequency Cepstral Coefficients (MFCC) and Hilbert transform. This technique allows detecting and classifying peculiar events of LS and HS, and obtain a higher classification rates when compared with other VAD forms. The efficiency classification achieved with parallel Hidden Markov Models (HMM) was 95% for LS and 92% for HS, documenting their viable clinical suitability.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123106512","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}
M. A. Rodriguez-Hernandez, A. Gomez-Sacristan, F. G. Jimenez-Peralta
{"title":"Simulation of the communications system for a national radiation-dose databank","authors":"M. A. Rodriguez-Hernandez, A. Gomez-Sacristan, F. G. Jimenez-Peralta","doi":"10.1109/GMEPE-PAHCE.2018.8400770","DOIUrl":"https://doi.org/10.1109/GMEPE-PAHCE.2018.8400770","url":null,"abstract":"This work presents a simulator for the communications system associated with a National Radiation-Dose Databank for the radiological protection of Spanish public health patients. The work shows a communications simulator developed over OMNET++ that allows radiological centers in specific points of the country with different types of radiological equipment. In addition, the simulator allows different configurations of the communications systems. The work also shows the results of the traffic generated by this new service in different parts of the country and with several types of radiation dosimetry information sent to the National Radiation-Dose Databank.","PeriodicalId":375152,"journal":{"name":"2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124864602","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}