• Proceedings of the KOSOMBE Conference
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• v.1995 no.11
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• pp.219-221
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• 1995

• Proceedings of the KOSOMBE Conference
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• v.1995 no.05
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• pp.256-258
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• 1995

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.1589-1590
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• 2011

• Journal of Biomedical Engineering Research
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• v.28 no.6
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• pp.721-726
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• 2007

The study relates to achievement and analysis of 3-dimensional spatial pulse wave archived by a spatially arterial pulse diagnostic apparatus (SAPDA), wherein a pulse sensing part array consists of multiple hall devices and is located over a skin contacting part which consists of a magnetic material. When a radially arterial pulse is transferred to the magnetic material, which is contacted skin that results in changes in a magnetic field of the lower part of the pulse sensing part array, the changes in a magnetic field can be detected by the commercial Hall semiconductor device of the pulse sensing part array. Finally, according to development of SAPDA, the 3-dimensionally arterial pulse waveform can be measured noninvasively by detecting the changes of the magnetic field.

• Proceedings of the KOSOMBE Conference
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• v.1994 no.05
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• pp.53-56
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• 1994

We have developed biological signal measurement modules and data acquisition and control card for a biological signal measurement, archiving, and communication system (SiMACS). Biological signals included in this system are ECG, EEG, EMG, invasive blood pressure, respiration, and temperature. Parameters of each module can be controlled by PC-base IDPU (intelligent data processing unit) through a data acquisition and control card. The data acquisition and control card can collect up to 16 channels of biological signals with sampling rate of $50\;{\sim}\;2,000Hz$ and 12-bit resolution. All measurement moduls and data acquisition functions are controlled by microcontroller which receives commands from PC. All data transfers among PC, microcontroller, and ADC are done through a shared RAM access by polling method for real rime operation.

• Journal of Biomedical Engineering Research
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• v.39 no.2
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• pp.63-68
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• 2018

In modern society, speech recognition technology is emerging as an important technology for identification in electronic commerce, forensics, law enforcement, and other systems. In this study, we aim to develop an age classification algorithm for extracting only MFCC(Mel Frequency Cepstral Coefficient) expressing the characteristics of speech in Korean and applying it to deep learning technology. The algorithm for extracting the 13th order MFCC from Korean data and constructing a data set, and using the artificial intelligence algorithm, deep artificial neural network, to classify males in their 20s, 30s, and 50s, and females in their 20s, 40s, and 50s. finally, our model confirmed the classification accuracy of 78.6% and 71.9% for males and females, respectively.

• Journal of Biomedical Engineering Research
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• v.26 no.5
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• pp.343-349
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• 2005

Continuously motivating people to exercise regularly is more important than finding a way out of barriers such as lack of time, cost of equipment, lack of nearby facilities, and poor weather. Our proposed system presents practicable methods of motivation through a diverse exercise aid system. The Health Improvement and Management System (all-in-one system which saves space and maintenance costs) measures and evaluates a diverse body shape analysis and physical fitness test and directs users to automated personalized exercise prescription which is prescribed by the expert system of three types of exercise templates: aerobics, anaerobics, and leisure sports. Automated personalized exercise prescriptions are built into XML based documents because the data needs to be in the form of flexible, expansible, and convertible structures in order to process various exercise templates, BIOFIT, a digital exercise trainer, monitors and provides feedback on the physiological parameters while users are working out in the gymnasium. If these parameters do not range within the prescribed target zone, the device will alarm users to control the exercise and make the exercise trainer adjust systemically the proper exercise level. Numeric health information such as the report of the physical fitness test and the exercise prescription makes people stay interested in exercising. In addition, this service can be delivered through the Internet.

• Journal of Biomedical Engineering Research
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• v.29 no.6
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• pp.466-476
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• 2008

The more people use ambulatory electrocardiogram(ECG) for arrhythmia detection, the more researchers report the automatic classification algorithms. Most of the previous studies don't consider the un-balanced data distribution. Even in patients, there are much more normal beats than abnormal beats among the data from 24 hours. To solve this problem, the hierarchical classification using 21 features was adopted for arrhythmia abnormal beat detection. The features include R-R intervals and data to describe the morphology of the wave. To validate the algorithm, 44 non-pacemaker recordings from physionet were used. The hierarchical classification model with 2 stages on domain knowledge was constructed. Using our suggested method, we could improve the performance in abnormal beat classification from the conventional multi-class classification method. In conclusion, the domain knowledge based hierarchical classification is useful to the ECG beat classification with unbalanced data distribution.

• Journal of Biomedical Engineering Research
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• v.38 no.4
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• pp.183-189
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• 2017

Electrosurgical Unit(ESU) is medical equipment that cut or coag tissues using electrical energy. It is used in hospitals' outpatient clinic room and operating room. Improper use of an ESU may cause fatal injuries to the patient, such as burns. So, before using an ESU, make sure that it is supplying enough energy for cut and coag by measuring the output power and checking the output power cable. In this study, we developed a simple ESU power measurement system PW100 that allows anyone to check the basic output power. And PW100 can check the state of the cable associated with the output power before using ESU. Then, we compared the measured output power of the PW100 with an ESU Analyzer which was commercialized, and compared the performance. In the experiment, the output power measured by the PW100 was lower value than an ESU Analyzer's that. However, the PW100's output power measured in the 5% error range and showed stable reproducibility by a low %RSD value.

• Journal of Biomedical Engineering Research
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• v.33 no.4
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• pp.163-168
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• 2012

Elderly women are reported to have greater risk of falls. The purpose of this paper was to investigate the possible gender differences in the reaction performance of ankle joint muscles, which have dominant role in the control of sagittal plane balance. Twenty-six elderly men and women with comparable mean age participated in this study. Reaction times to the audible beeps were measured in the tibialis anterior muscle and gastrocnemius muscle. Reaction time variables included premotor time, electromechanical delay and total reaction time. Gender difference in each reaction time was investigated by independent t-test. In both muscles, premotor time was longer in men but the electromechanical delay was longer in women (p < 0.05). Resulting total reaction time was longer in men in tibialis anterior muscle (p < 0.01) and it tended to be longer in men also in gastrocnemius muscle (p = 0.25). The results demonstrates that the overall reaction performances of elderly women is better than or comparable to those of elderly men in ankle joint muscles. This suggests that the reaction performance of ankle muscles is hardly the cause of the greater risk of falls in elderly women.