Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification

Imah, Elly Matul; Jatmiko, Wisnu; Basaruddin, T.

doi:10.21307/ijssis-2017-619

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2024

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Cited by 7 publications

References 28 publications

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Comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns

Mejia-Herrera,

Botero-Valencia,

Hernández-García

2024

Lecture Notes in Networks and Systems

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Comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns

Mejia-Herrera,

Botero-Valencia,

Hernández-García

2024

Lecture Notes in Networks and Systems

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Developing smart telehealth system in Indonesia: Progress and challenge

Jatmiko

Ma’sum

Isa

et al. 2015

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)

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Indonesia is developing country with high population. There are more than 200 million residents living in the country. As a developing country, Indonesia has several health problems. First, Indonesia has a high value of mortality caused by heart and cardio vascular diseases. One of the major cause is the lack of medical checkup especially for heart monitoring. It is caused by limited number of medical instrumentation e.g. ECG in hospital and public health center. The supporting factor is the small number of cardiologist in Indonesia. There are 365 cardiologists across the country, which is a very small number compared to the 200 million of Indonesia population. Furthermore, they are not distributed evenly in all provinces, but only centered in Jakarta and other capital cities. Therefore, it is difficult for residents to get appropriate heart monitoring. Second, the mortality rate of mother and baby during delivery of the baby in Indonesia is also high. One way to solve this problem is to devise a system where the health clinics in rural areas can perform fetal biometry detection before consulting the results to the expert physicians from other areas. The proposed system will be equipped with algorithms for automatic fetal detection and biometry measurement. By the end of this development, we have several results, the first is a classifier to automatic heartbeat disease prediction with accuracy more than 95%, the second is compression method based on wavelet decompositon, and the third is detection and approximation a fetus in an ultrasound image with hit rate more than 93%.

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Generalized learning vector quantization particle swarm optimization (GLVQ-PSO) FPGA implementation for real-time electrocardiogram

Wardhana

Jatmiko

Rachmadi

2016

2016 International Workshop on Big Data and Information Security (IWBIS)

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Electrocardiogram for Biometrics by using Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ): Integrating Feature Extraction and Classification

Abstract: Abstract-Electrocardiogram (ECG) signal for human identity recognition is

Cited by 7 publications

References 28 publications

Comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns

Comparative Lightweight Scheme for Individual Identification Through Hand-Vein Patterns

Developing smart telehealth system in Indonesia: Progress and challenge

Generalized learning vector quantization particle swarm optimization (GLVQ-PSO) FPGA implementation for real-time electrocardiogram

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