• Journal of Convergence for Information Technology
• /
• v.10 no.2
• /
• pp.184-192
• /
• 2020

This study presents a gait analysis method (including time series analysis) using a smart insole as an objective and quantitative evaluating method after lumbar scoliosis surgery. The participant is a degenerative lumbar scoliosis patient. She took 3-min-gait-test four times(before and 8, 16, and 204-days after surgery) and 6-min-gait-test once(204-days after surgery) with smart-insoles in her shoes. Each insole has 8-pressure sensors, an accelerometer, and a gyroscope. The measured values were used to compare the characteristics of gait before and after surgery. The analysis showed that all of the patient's gait parameters improved after surgery. And after 6 months, the gait was more stable. However, after long walk, the swing duration of one leg was slightly shorter than that of the other again. It was a preclinical problem that could not be found in the visual examination by the practitioner. With this analysis method we could evaluate the improvement of patient quantitatively and objectively. And we could find a preclinical problem. This analysis method will lead to the studies that define and distinguish gait patterns of certain diseases, helping to determine appropriate treatments.

• Asian Oncology Nursing
• /
• v.9 no.1
• /
• pp.43-51
• /
• 2009

Purpose: The purpose of the study was to develop an educational program reflecting the educational needs of Hospice Smart Patient service providers. Method: The description, goal, curriculum, method, and process evaluation of the educational program were constructed based on Modified Tyler-type Ends-Means Model followed by the analysis of current curriculum and needs of service providers. Results: The curriculum was constructed based on hospice volunteer program currently offered in Korea and the recommendations of hospice service volunteers and experts. A total of 90 hr was required to complete the curriculum that was composed of 'Introduction to cancer', 'Treatment and treatment complications of cancer', 'Post-treatment nutritional care', 'Helpful information', 'Introduction to hospice and palliative care', 'Comprehension of life and death', 'Holistic hospice and palliative care', 'How to communicate as a smart patient', 'Hospice and ethics', 'Pediatric hospice', 'Bereavement management', and 'Clinical practicum'. Conclusion: It is necessary to implement the developed educational program and evaluate its effectiveness, as well as making the service available to a greater number of cancer patients.

• Journal of Korean Academy of Nursing
• /
• v.47 no.6
• /
• pp.756-769
• /
• 2017

Purpose: To identify the effects of a smart program for the patients who underwent percutaneous coronary intervention (SP-PCI) on coronary disease-related knowledge, health behaviors, and quality of life. Methods: A nonequivalent control group with a non-synchronized design was utilized and 48 participants (experimental=22, control=26) were recruited from a university hospital in Gyeongsang area from May to December, 2016. The 12-week SP-PCI consisted of self-study of health information using smart phone applications (1/week), walking exercise (>5/week) using smart band, feedback using Kakao talk (2/week), and telephone counseling (1/week). Patients in the control group received usual care from their primary health care providers and a brief health education with basic self-management brochure after the PCI. Data were analyzed using the SPSS 21.0 program through descriptive statistics, $x^2$ test, and t-test. Results: After the 12-week SP-PCI, the experimental group showed higher levels of coronary disease-related knowledge (t=2.43, p=.019), heart-related health behaviors (t=5.96, p<.001), regular exercise (Z=-4.47, p<.001), and quality of life-MCS (t=3.04, p=.004) and showed lower levels of stress (Z=-3.53, p<.001) and sodium intake (t=-4.43, p<.001) than those in the control group. There were no significant group differences in medication adherence and food intake in total energy, lipids, and cholesterol. Conclusion: The suggested SP-PCI provided easy access and cost-effective intervention for patients after PCI and improved their knowledge of the disease, performance of health behaviors, and quality of life. Further study with a wider population is needed to evaluate the effects of SP-PCI on disease recurrence and quality of life for patients after PCI.

• PNF and Movement
• /
• v.17 no.3
• /
• pp.369-378
• /
• 2019

Purpose: This study investigated the effects of virtual reality-based task training (VRBTT) using a smart glove on upper extremity function and activity of daily living in stroke patients. Methods: Twenty-nine patients with chronic stroke disease were randomly allocated to two groups: the VRBTT group (n=14) and the control group (n=15). All patients received 30 minutes of standard occupational therapy, 5 times a week, for 8 weeks. The VRBTT group performed an additional 30 minutes of virtual reality-based rehabilitation training, 5 times a week, for 8 weeks. Results: Both groups showed significant improvements in upper extremity function, yielding an increase in FMA and K-WMFT (p<0.05). There was a more significant increase in the VRBTT group before and after interventions (p<0.05). There was no significant difference in MAS for the control group (p>0.05); however, there was a significant increase for the VRBTT group (p<0.05). In the activities of daily living, there was a significant difference in the values for K-MBI (p<0.05). In addition, both groups showed a significant increase for K-MBI and K-RNLI (p<0.05). Conclusion: This study showed that VRBTT using smart gloves can have a more positive effect on upper extremity function and activities of daily living in stroke patients than conventional intervention methods. A variety of virtual reality-based contents and glove-shaped wearable devices will help stroke patients in rehabilitation clinics recover and return to society.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.12
• /
• pp.1625-1630
• /
• 2018

In emergency situations, first aid workers are the main task of trauma evaluation and care. However, the scope of first-aid treatment is small and they are mainly carried out to the emergency room of the hospital. If a specialist who is in charge of an emergency situation is connected and emergency medical treatment through remote medical direction is performed, accurate diagnosis and appropriate care can be helped. This paper has developed an smart application(app) to support remote medical direction for emergency medical services. The developed smart app allows emergency rescuers to call a doctor at a remote location and transmit real-time status of emergency patients to vital sign and video. This will help to diagnose the patient's condition accurately. In addition, emergency care can be instructed and response in the emergency room can be made quickly.

• Journal of radiological science and technology
• /
• v.42 no.5
• /
• pp.379-385
• /
• 2019

Radiation is used for various purposes such as cancer therapy, research of industrial and drugs. However, in case of radiation accidents such as terrorism, collapsing nuclear plant by natural disasters like Fukushima in 2011, very high radiation does expose to human and could lead to death. For this reason, many people are concerning about radiation exposures. Therefore, assessment and research of retrospective radiation dose to human by various path is an necessary task to be continuously developed. Radiation exposure for workers in radiation fields can be generally measured using a personal exposure dosimeter such as TLD, OSLD. However, general people can't be measured radiation doses when they are exposed to radiation. And even if radiation fields workers, when they do not in possession personal dosimeter, they also can't be measured exposure dose immediately. In this study, we conduct retrospective research on reconstruction of dose after exposure by using smart chip card of personal items through Optically Stimulated Luminescence (OSL). The OSL signal of smart chip card shows linear response from 0.06 Gy to 15 Gy and results of fading rate 45 %, 48% for 24 and 48 hours due to the natural emission of radiation in sample, respectively. The minimum detectable limit (MDD) was 0.38 mGy. This values are expected to use as correction values for reconstruction of exposure dose.

• Korean Journal of Radiology
• /
• v.22 no.3
• /
• pp.344-353
• /
• 2021

Objective: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on deep learning algorithm. Materials and Methods: Abdominal contrast-enhanced CT images of 148 pathologically confirmed GIST cases were retrospectively collected for the development of a deep learning classification algorithm. The areas of GIST masses on the CT images were retrospectively labelled by an experienced radiologist. The postoperative pathological mitotic count was considered as the gold standard (high mitotic count, > 5/50 high-power fields [HPFs]; low mitotic count, ≤ 5/50 HPFs). A binary classification model was trained on the basis of the VGG16 convolutional neural network, using the CT images with the training set (n = 108), validation set (n = 20), and the test set (n = 20). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated at both, the image level and the patient level. The receiver operating characteristic curves were generated on the basis of the model prediction results and the area under curves (AUCs) were calculated. The risk categories of the tumors were predicted according to the Armed Forces Institute of Pathology criteria. Results: At the image level, the classification prediction results of the mitotic counts in the test cohort were as follows: sensitivity 85.7% (95% confidence interval [CI]: 0.834-0.877), specificity 67.5% (95% CI: 0.636-0.712), PPV 82.1% (95% CI: 0.797-0.843), NPV 73.0% (95% CI: 0.691-0.766), and AUC 0.771 (95% CI: 0.750-0.791). At the patient level, the classification prediction results in the test cohort were as follows: sensitivity 90.0% (95% CI: 0.541-0.995), specificity 70.0% (95% CI: 0.354-0.919), PPV 75.0% (95% CI: 0.428-0.933), NPV 87.5% (95% CI: 0.467-0.993), and AUC 0.800 (95% CI: 0.563-0.943). Conclusion: We developed and preliminarily verified the GIST mitotic count binary prediction model, based on the VGG convolutional neural network. The model displayed a good predictive performance.

• Proceedings of the Korea Contents Association Conference
• /
• 2011.05a
• /
• pp.31-32
• /
• 2011

최근 구급차에 탑승하는 응급 구조사의 인원이 턱없이 부족하여 소방관 한 사람만이 구급차에 타고 환자를 이송하는 일이 종종 문제시 되곤 한다. 이로 인해 응급 환자에게 신속한 처치가 어려워진다. 본 논문은 스마트폰을 기반으로 응급의료 시스템을 구축하여, 응급 환자에게 병원 전(pre-hospital) 단계에서 신속한 조치와 효율적인 처치가 가능한 환경을 제공한다.

• Proceedings of the Safety Management and Science Conference
• /
• 2010.04a
• /
• pp.127-135
• /
• 2010

In this paper, the u-Service system that is based on location-aware technology is designed for a silver town. It provides services such as emergency call, intelligent elevator operation, and hands-free door access based on the location of the residents with personal device as called smart tag. It can also be applied to other service areas such as the location-aware u-Service for Hospital, high-rising complex building, APT, etc.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2001.04a
• /
• pp.540-544
• /
• 2001

This paper addresses a hybrid control architecture for the hospital service robot, SmartHelper. In hybrid architecture, the deliberation takes place at planning layer while the reaction is dealt through the parallel execution of operations. Hence, the system presents both a hierarchical and an heterarchical decomposition, being able to show a predictable response while keeping rapid reactivity to the dynamic environment. The deliberative controller accomplishes four functions which are path generation, selection of navigation way, command and monitoring. The reactive controller uses fuzzy and potential field method for robot navigation. Through simulation under a virtual environment IGRIP, the effectiveness of the hybrid architecture is verified.