Automatic Fetal Organs Detection and Approximation in Ultrasound Image

Ma’sum, M. Anwar; Jatmiko, Wisnu; Wiweko, Budi; Bowolaksono, Anom

doi:10.21307/ijssis-2017-780

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…This tele-USG system is equipped by automatic fetal biometrics measurement features. The algorithm for biometrics computing is proposed by Ma'sum et al [7]. This paper discusses the development of smart telehealth system in Indonesia.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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)

Self Cite

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“…Our previous research in this field also includes an automatic detection for fetal organs, such as fetal head and fetal humerus in an USG image. The automatic detection of the organs was implemented in the Tele-USG system (Ma'sum et al, 2015a(Ma'sum et al, , 2015bJatmiko et al, 2015b).…”

mentioning

confidence: 99%

Developing smart Tele-ECG system for early detection and monitoring heart diseases based on ECG signal: progress and challenges

Jatmiko

Ma’sum

Wisesa

et al. 2019

International Journal on Smart Sensing and Intelligent Systems

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Technology is developed to benefit society. One of the applications of technology in the healthcare sector is telehealth monitoring system. The system proposes a new way of communication between the doctor and the patient, even in a very remote location. In this paper, we elaborate the progress and challenges regarding the development of Tele-ECG in Indonesia, which includes data acquisition, feature extraction, data compression, classification algorithm, mobile and web development system and small device implementation on an FPGA board. The classification is conducted by using LVQ, GLVQ, FNLVQ, FNLVQ-PSO, FNGLVQ, and AM-GLVQ. The compression is conducted by using SPIHT algorithm. Tele-ECG can assist in monitoring heartbeat anomalies and reduce the risk of heart attack. It could also be a solution for infrastructure discrepancy in healthcare.

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Automatic Fetal Organs Detection and Approximation in Ultrasound Image

Abstract: Abstract-

Cited by 2 publications

References 26 publications

Developing smart telehealth system in Indonesia: Progress and challenge

Developing smart telehealth system in Indonesia: Progress and challenge

Developing smart Tele-ECG system for early detection and monitoring heart diseases based on ECG signal: progress and challenges

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