• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.415-418
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• 2011

This paper describes a circuit-level optimization of DFU(decoding function unit) for LDPC decoder which is used in wireless communication systems such as WiMAX and WLAN. The conventional DFU which is based on min-sum decoding algorithm needs conversions between two's complement values and sign-magnitude values, resulting in complex hardware. In this paper, a new design of DFU that is based on sign-magnitude arithmetic is proposed to achieve a simplified circuit and high-speed operation.

• Journal of Korean Academy of Nursing
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• v.51 no.3
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• pp.280-293
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• 2021

Purpose: This study aimed to identify the risk factors for diabetic foot ulceration (DFU) to develop and evaluate the performance of a DFU prediction model and nomogram among people with diabetes mellitus (DM). Methods: This unmatched case-control study was conducted with 379 adult patients (118 patients with DM and 261 controls) from four general hospitals in South Korea. Data were collected through a structured questionnaire, foot examination, and review of patients' electronic health records. Multiple logistic regression analysis was performed to build the DFU prediction model and nomogram. Further, their performance was analyzed using the Lemeshow-Hosmer test, concordance statistic (C-statistic), and sensitivity/specificity analyses in training and test samples. Results: The prediction model was based on risk factors including previous foot ulcer or amputation, peripheral vascular disease, peripheral neuropathy, current smoking, and chronic kidney disease. The calibration of the DFU nomogram was appropriate (χ² = 5.85, p = .321). The C-statistic of the DFU nomogram was .95 (95% confidence interval .93~.97) for both the training and test samples. For clinical usefulness, the sensitivity and specificity obtained were 88.5% and 85.7%, respectively at 110 points in the training sample. The performance of the nomogram was better in male patients or those having DM for more than 10 years. Conclusion: The nomogram of the DFU prediction model shows good performance, and is thereby recommended for monitoring the risk of DFU and preventing the occurrence of DFU in people with DM.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2465-2473
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• 2011

This paper describes a circuit-level optimization of DFU(decoding function unit) for LDPC decoder which is used in wireless communication systems including WiMAX and WLAN. A new design of DFU based on sign-magnitude arithmetic instead of two's complement arithmetic is proposed, resulting in 18% reduction of gate count for 96 DFUs array used in mobile WiMAX LDPC decoder. A multi-mode LDPC decoder for mobile WiMAX standard is designed using the proposed DFU. The LDPC decoder synthesized using a 0.18-${\mu}m$ CMOS cell library with 50 MHz clock has 268,870 gates and 71,424 bits RAM, and it is verified by FPGA implementation.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.35 no.3
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• pp.66-94
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• 2022

Objectives : Diabetic Foot Ulcer(DFU) is one of the common complications of diabetes. DFU is difficult to treat compared to other chronic wounds and clinically effective treatments are limited. The purpose of this study is to review the of external ointment treatment for DFU. Methods : 8 databases such as PubMed, EMBASE, CENTRAL, CNKI, NDSL, RISS, KISS, OASIS including English, Korean and Chinese were searched by structured search strategies that consist of terms as 'diabetic foot', 'diabetic foot ulcer(DFU)' and 'randomized' from January 2001 to January 2021. All randomized controlled trials(RCTs) involving treatment group as external ointment or in combination with conventional treatment were included. Results: A total of 20 RCTs was identified and analyzed. In treatment group, ointment was applied based on conventional treatment. A total of 16 different ointments were used, and the frequency of use was highest in the order of Heat-clearing drug, Blood-activating and stasis-dispelling drug, Tonifying and Replenishing drug and Orifice-opening drug. The most used herbs were in the order of Coptis chinensis Franch., Phellodendron chinense Schneid., Borneolum syntheticum., Angelica sinensis(Oliv.) Diels. In treatment group, a clinically effective effect was obtained compared to the contrast group. Conclusions : The result of this study suggest that external ointment treatment based on conventional treatment can be applied to DFU.

• Journal of Yeungnam Medical Science
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• v.40 no.4
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• pp.335-342
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• 2023

Diabetic foot ulcers (DFUs) are among the most serious complications of diabetes and are a source of reduced quality of life and financial burden for the people involved. For effective DFU management, an evidence-based treatment strategy that considers the patient's clinical context and wound condition is required. This treatment strategy should include conventional practices (surgical debridement, antibiotics, vascular assessment, offloading, and amputation) coordinated by interdisciplinary DFU experts. In addition, several adjuvant therapies can be considered for nonhealing wounds. In this narrative review, we aim to highlight the current trends in DFU management and review the up-to-date guidelines.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.229-232
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• 2012

This paper describes performance evaluation using fixed-point Matlab modeling and simulation, and hardware design of LDPC decoder which is based on Improved Normalized Min-Sum(INMS) decoding algorithm. The designed LDPC decoder supports 19 block lengths(576~2304) and 6 code rates(1/2, 2/3A, 2/3B, 3/4A, 3/4B, 5/6) of IEEE 802.16e mobile WiMAX standard. Considering hardware complexity, it is designed using a block-serial(partially parallel) architecture which is based on layered decoding scheme. A DFU based on sign-magnitude arithmetic is adopted to minimize hardware area. Hardware design is optimized by using INMS decoding algorithm whose performance is better than min-sum algorithm.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.3
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• pp.83-90
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• 2022

Diabetes is a common disease today, and there are also many cases of developing into serious complications called Diabetic Foot Ulcers(DFU). Diagnosis and prevention of DFU in advance is an important task, and this paper proposes the method. Based on existing studies introduced in the paper, it can be seen that foot pressure and temperature information are deeply correlated with DFU. Introduce the process and architecture of SmarTinsole, an IoT device that measures these indicators. Also, the paper describes the preprocessing process for AI-based diagnosis of DFU. Through the comparison of the measured pressure graph and the actual human step distribution, it presents the results that multiple information collected in real-time from SmarTinsole are more efficient and reliable than the previous study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.798-801
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• 2010

This paper describes an efficient architecture for LDPC(Low-Density Parity Check) decoder, which supports three block lengths (648, 1,296, 1,944) of IEEE 802.11n standard. To minimize hardware complexity, the min-sum algorithm and block-serial layered structure are adopted in DFU(Decoding Function Unit) which is a main functional block in LDPC decoder. The optimized H-ROM structure for multi block lengths reduces the ROM size by 42% as compared to the conventional method. Also, pipelined memory read/write scheme for inter-layer DFU operations is proposed for an optimized operation of LDPC decoder.

• Vascular Specialist International
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• v.34 no.4
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• pp.109-116
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• 2018

Purpose: Diabetic foot wound (DFW) is known as a major contributor of nontraumatic lower extremity amputation. We aimed to evaluate overall amputation rates and risk factors for amputation in patients with DFW. Materials and Methods: From January 2014 to December 2017, 141 patients with DFW were enrolled. We determined rates and risk factors of major amputation in DFW and in DFW with peripheral arterial occlusive disease (PAOD). In addition, we investigated rates and predictors for amputation in diabetic foot ulcer (DFU). Results: The overall rate of major amputation was 26.2% in patients with DFW. Among 141 DFWs, 76 patients (53.9%) had PAOD and 29 patients (38.2%) of 76 DFWs with PAOD underwent major amputation. Wound state according to Wagner classification, congestive heart failure, leukocytosis, dementia, and PAOD were the significant risk factors for major amputation. In DFW with PAOD, Wagner classification grades and leukocytosis were the predictors for major amputation. In addition, amputation was performed for 28 patients (38.4%) while major amputation was performed for 5 patients (6.8%) of 73 DFUs. Only the presence of osteomyelitis (OM) showed significant difference for amputation in DFU. Conclusion: This study represented that approximately a quarter of DFWs underwent major amputation. Moreover, over half of DFW patients had PAOD and about 38.2% of them underwent major amputation. Wound state and PAOD was major predictors for major amputation in DFW. Systemic factors, such as CHF, leukocytosis, and dementia were identified as risk factors for major amputation. In terms of DFU, 38.4% underwent amputation and the presence of OM was a determinant for amputation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.363-371
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• 2013

This paper describes a multi-standard LDPC decoder which supports 19 block lengths(576~2304) and 6 code rates(1/2, 2/3A, 2/3B, 3/4A, 3/4B, 5/6) of IEEE 802.16e mobile WiMAX standard and 3 block lengths(648, 1296, 1944) and 4 code rates(1/2, 2/3, 3/4, 5/6) of IEEE 802.11n WLAN standard. To minimize hardware complexity, it adopts a block-serial (partially parallel) architecture based on the layered decoding scheme. A DFU(decoding function unit) based on sign-magnitude arithmetic is used for hardware reduction. The designed LDPC decoder is verified by FPGA implementation, and synthesized with a 0.13-${\mu}m$ CMOS cell library. It has 312,000 gates and 70,000 bits RAM. The estimated throughput is about 79~210 Mbps at 100 MHz@1.8v.