• The Korean Journal of Emergency Medical Services
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• v.15 no.2
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• pp.101-108
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• 2011

Purpose: Cardiopulmonary resuscitation (CPR) prevents tissue necrosis of the brain and cardiac muscle in the cardiac arrest patient and requires exact skills in order to increase survival rate. Through comparison of the training effects of feedback manikin and non-feedback manikin, this study present the effective CPR device to CPR instructors. Method: This CPR course for 80 students by using Resusci Anne $SkillReporter^{TM}$ (RASR; Laerdal Medical, Stavanger, Norway) and Actar 911 $Squadron^{TM}$ (A911; Vital Signs, New Jersey, USA) held on December 22, 2009. Thirty seven students and two assistants were placed in one laboratory, there were five RASR manikins which provide the LED performance indicator, not the metronome. Forty two students and two assistants were placed in the other laboratory, there were 20 A911 manikins which don't provide any feedback indicator. Chest compression scores and ventilation compression scores obtaining from two groups were analysed statistically by using independent t-test. Results: Chest compression scores, average depth (mm) was 37.5 in RASR and 41.80 A911 (p=.004), too depth (#) was 2.8 in RASR and 19.4 A911 (p=.005), average number per min (#/min) was 64.4 in RASR and 68.2 A911 (p=.038), wrong hand position (#/min) was 10.9 in RASR and 30.8 A911 (p=.040). Four items that showed better scores in group RASR had statistically significant difference. Ventilation compression scores, percent correct (%) was 40.6 in RASR and 20.6 A911 (p<.001), number correct (#) was 4.7 in RASR and 2.1 A911 (p=.002), too fast (#) was 0.9 in RASR and 2.9 A911 (p=.003), average volume (ml) was 536.5 in RASR and 707.1 A911 (p=.011). Also, three items that showed better scores in group RASR had statistically significant difference. Conclusions: Regarding the positive effect of CPR training feedback, comparison between the real-time visual feedback manikin (RASR) and the non-feedback manikin (A911) showed that RASR had better results than A911 in chest compression except average number per min (it means that we need harder chest manikin) and ventilation. Verification of the training effect in the real world such as CPR outcomes is also necessary. A proper application of manikin in training circumstances and research on retention of CPR skills will be needed.

• The Korean Journal of Emergency Medical Services
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• v.25 no.1
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• pp.23-36
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• 2021

Purpose: The purpose of this study was to determine how the use of level D personal protective equipment (PPE) and cardiopulmonary resuscitation (CPR) feedback equipment affects chest compression (CC). Furthermore, this study provides basic data for developing Korean CPR guidelines that can be applied to patients with suspected or confirmed COVID-19. Methods: This randomized, single-blinded, crossover simulation trial included 26 student paramedics who performed 2-minute chest compressions using three different methods: Method A involved performing traditional CC for two minutes without donning level D PPE, Method B involved performing CC while donning level D PPE, and Method C involved performing CC with a CPR feedback device while donning level D PPE. Results: The use of a CPR feedback device during the 2-minute CC increased the exercise intensity of the subjects, but donning level D PPE didn't affect the quality of CC and the exercise intensity. The results of methods A and B showed changes in the quality of compression 80 seconds after the start of CC. No significant changes occurred in 2-minute CC when using the CPR feedback device. Conclusion: Using a CPR feedback device could prevent deterioration in the quality of CC while donning level D PPE.

• Journal of Biomedical Engineering Research
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• v.35 no.6
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• pp.219-226
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• 2014

This study is to develop a basic life support (BLS) app using the android based smartphone and to evaluate the function of the app. Suggested app contains chest compression feedback function, the map of automated external defibrillator (AED), direct emergency call and the basic knowledge of BLS. Using the accelerometer of the smartphone, we implemented a real-time algorithm that estimates the chest compression depth and rate for high quality cardiopulmonary resuscitation (CPR). The accuracy of algorithm was evaluated by manikin experiment. We made contents which were easy to learn the BLS for the layperson and implemented a function that provides the AED location information based on the user's current location. From the manikin experiment, the chest compression depth and rate were no significant differences between the manikin data and the app's feedback data (p > 0.05). Developed BLS app was uploaded on Google Play Store and it was free to download. We expected that this app is useful to learn the BLS for the layperson.

• Journal of KIISE:Databases
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• v.37 no.2
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• pp.82-91
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• 2010

Data compression technique is traditional and effective to reduce network traffic. Generally, sensor data exhibit strong correlation in both space and time. Many algorithms have been proposed to utilize these characteristics. However, each sensor just utilizes neighboring information, because its communication range is restrained. Information that includes the distribution and characteristics of whole sensor data provide other opportunities to enhance the compression technique. In this paper, we propose an orthogonal approach for compression algorithm based on a novel feedback diffusion algorithm in sensor networks. The base station or a super node generates the Huffman code for compression of sensor data and broadcasts it into sensor networks. Every sensor that receives the information compresses their sensor data and transmits them to the base station. We define this approach as feedback-diffusion. In order to show the superiority of our approach, we compare it with the existing aggregation algorithms in terms of the lifetime of the sensor network. As a result, our experimental results show that the whole network lifetime was prolonged by about 30%.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.12
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• pp.2251-2256
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• 2007

In this paper, the wavelet transform based lossless image compression algorithm is proposed. The proposed algorithm transforms the input image using 9/7 ICFB and S+P filter, and eliminates the spacious correlation of the subband coefficients, applying the context modeling predictive technique based on the multi-resolution structure and the feedback of the prediction error. The prediction context exploits the subordination and direction property of the different level subband in the vertical, horizontal, and diagonal subband coefficients. The simulation result of the high frequency images such as PEPPERS, BOAT, and AIRPLANE shows that the proposed algorithm efficiently predicts the edge area of each multi-resolution subband.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.4
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• pp.703-719
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• 2011

In multi-user wireless communication systems, adaptive modulation and scheduling are promising techniques for increasing the system throughput. However, a mass of wireless recourse will be occupied and spectrum efficiency will be decreased to feedback channel quality indication (CQI) of all users in every subcarrier or chunk for adaptive orthogonal frequency division multiplexing (OFDM) systems. Thus numerous limited feedback schemes are proposed to reduce the system overhead. The recently proposed compressive sensing (CS) theory provides a new framework to jointly measure and compress signals that allows less sampling and storage resources than traditional approaches based on Nyquist sampling. In this paper, we proposed two novel CQI feedback schemes based on general CS and subspace CS, respectively, both of which could be used in a wireless OFDM system. The feedback rate with subspace CS is greatly decreased by exploiting the subspace information of the underlying signal. Simulation results show the effectiveness of the proposed methods, with the same feedback rate, the throughputs with subspace CS outperform the discrete cosine transform (DCT) based method which is usually employed, and the throughputs with general CS outperform DCT when the feedback rate is larger than 0.13 bits/subcarrier.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.4
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• pp.95-102
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• 2021

PURPOSE: This study examined the muscle activity of the abdominal muscle when lifting with abdominal hollowing with visual feedback and lifting with a pelvic compression belt. This study suggests how to lift an object safely in the workplace for people who bend their backs repeatedly. METHODS: The study was conducted on healthy men in their 20s and 30s. When lifting a 7kg object, lifting with abdominal hollowing with visual feedback, and lifting an object with a pelvic compression belt were performed three times in random order. The muscle activities were measured rectus abdominis (RA), external oblique (EO), internal oblique/transverse abdominis (IO/TrA) muscles, and abdominal hollowing exercises, and box lifting exercises were carried out in advance before the experiment. One-way ANOVA was used to compare muscle activities, and a Tukey HSD was used for post-analysis. The level of significance was set to .05. RESULTS: According to the study, there was no significant difference in muscle activity of the RA muscle depending on the lifting method (p > .05). There were significant differences between the EO and IO/TrA muscle (p < .05). The IO/TrA muscle activity showed the largest increase in lifting an abdominal hollowing with visual feedback (p < .05). The EO muscle activity increased in pelvic compression belt lifting (p < .05). The muscle activity was increased in RA, but there was no significant difference (p < .05). CONCLUSION: Abdominal hollowing lifting with visual feedback increases the muscle activity of the IO/TrA muscle, which is higher than normal, and affects the core stability of the body.

• The Journal of the Acoustical Society of Korea
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• v.4 no.1
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• pp.16-21
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• 1985

Both shifiting the input signal's frequencies by a fixed frequency and compressing the input signal's bandwidth have been known to be effective in improving the stability margin of public adress systems operating in reverberant spaces. This paper describes the effect of an alternative approach of improving the acoustic-feedback stability and yet maintaining speech inteligibility by bandwidth compression and expansion. Conditions are derived for this technizue to be realized and an experimental system has been made - up. A series of experiments has been performed in small spaces and the results have shown that more than 5dB improvement can be obtained in the stability margin.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.919-924
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• 1994

The use of adaptive feedback cancellation to prevent howling requires a reference signal that is correlated with the feedback signal by is not correlated with the input signal. Such a signal is hard to obtain in hearing aids. In this paper, the use fo frequency compression to decorrelate the output signal with input signal for use as reference is presented. Performance evaluation results indicate that with the proper choice of system parameters, the use of this system can provide a significant increase in howling margin with minimal deterioration in output signal quality.

• Journal of Communications and Networks
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• v.18 no.1
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• pp.95-104
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• 2016

Massive multiple-input multiple-output (MIMO) is a promising approach for cellular communication due to its energy efficiency and high achievable data rate. These advantages, however, can be realized only when channel state information (CSI) is available at the transmitter. Since there are many antennas, CSI is too large to feed back without compression. To compress CSI, prior work has applied compressive sensing (CS) techniques and the fact that CSI can be sparsified. The adopted sparsifying bases fail, however, to reflect the spatial correlation and channel conditions or to be feasible in practice. In this paper, we propose a new sparsifying basis that reflects the long-term characteristics of the channel, and needs no change as long as the spatial correlation model does not change. We propose a new reconstruction algorithm for CS, and also suggest dimensionality reduction as a compression method. To feed back compressed CSI in practice, we propose a new codebook for the compressed channel quantization assuming no other-cell interference. Numerical results confirm that the proposed channel feedback mechanisms show better performance in point-to-point (single-user) and point-to-multi-point (multi-user) scenarios.