• Journal of Digital Convergence
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• v.15 no.11
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• pp.231-243
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• 2017

This paper provides a review of the electrical sensing biosensors and examine research cases of biosensors based on clothing and textiels. A biosensor which can measure bio-signals is a device that senses the physical and chemical characteristics of biological materials by using biological sensing materials. Therefore, wellness wear that is closely integrated with the user's real life will play an important role in achieving U-Health. The biosensors' unique feature which can be differentiated from the existing sensors is it's using of selective reactions and binding of biological substances. The electrical sensing biosensors are very small in size due to the processing of electrical signals, which can be used to create ubiquitous. Therefore, it is necessary to study electrical sensing biosensors that are easy to miniaturize to develop wellness wear. This paper describes the electrical sensing biosensor (an electrochemical method nanowire/carbon nanotube FET method) in detail. Finally, the future direction of biosensors to be applied to wellness wear is suggested.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.279-284
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• 2014

Recently, m-health care is be a problem that the patient's information is easily exposed to third parties in case of emergency situation. This paper propose an attribute-based access control protocol to minimize the exposure to patient privacy using patient information in the emergency environment. Proposed protocol, the patient's sensitive information to a third party do not expose sensitive information to the patient's personal health information, including hospital staff and patients on a random number to generate cryptographic keys to sign hash. In addition, patient information from a third party that is in order to prevent the illegal exploitation of the patient and the hospital staff to maintain synchronization between to prevent the leakage of personal health information.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.249-255
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• 2016

Since the elderly voices include a lot of noise caused by physiological changes in respiration, phonation, and resonance, the performance of the convergence health-care equipments such as speech recognition, synthesis, analysis program done by elderly voice is deteriorated. Therefore it is necessary to develop researches to operate health-care instruments with elderly voices. In this study, a voice activity detection using a symmetric higher-order differential energy function (SHODEO) was developed and was compared with auto-correlation function(ACF) and the average magnitude difference function(AMDF). It was confirmed to have a better performance than other methods in the voice interval detection. The voice activity detection will be applied to a voice interface for the elderly to improve the accessibility of the smart devices.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.137-145
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• 2015

Mobile's health care and diagnostic capabilities are accepted as the most innovative sectors, and the combination with wearable device is being predicted as the future's most promising industries. However, the level of consumer acceptance and utilization is still insufficient compared to the development of technology. This study explores the use intention of wearable device based on previous studies about health apps. In particular, health-related use efficacy of the app, app use intention and app satisfaction are analyzed through a structural equation model. The use of health-related apps revealed that there is a statistically significant relationship with the use of the wearable device. The results suggest that the importance of app use efficacy, satisfaction, apps use should be considered for the successful diffusion of wearable health devices.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.185-191
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• 2016

Recently, various medical services are provided with the advance of IT. However, there is a problem that a third party would exploit medical information when the information is sent and received through wired or wireless connection. In this paper, a patient information management scheme using group index information for the third party not to illegally exploit a patient's medical information without his consent is proposed. This proposed scheme creates index information in each hierarchical level to be used with access information so that not only medical staff can have access to patient's medical information hierarchically but also it can manage access level in groups. The scheme aims to enable the medical staff to minimize the time spent to analyze the type of disease and to prescribe for it so that they can improve patients' satisfaction. Plus, the scheme aims to improve work efficiency by minimizing the medical staff's workload according to the authority to access patients' medical information.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.191-198
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• 2017

It is needed to support intelligent customized health information service for user convenience in PHR based Personal Health Care Service Platform. In this paper, we specify an ontology-based health data model for Personal Health Care Service Platform. We also design a knowledge search algorithm that can be used to figure out similar health record by applying machine learning and data mining techniques. Axis-based mining algorithm, which we proposed, can be performed based on axis-attributes in order to improve relevance of knowledge exploration and to provide efficient search time by reducing the size of candidate item set. And K-Nearest Neighbor algorithm is used to perform to do grouping users byaccording to the similarity of the user profile. These algorithms improves the efficiency of customized information exploration according to the user 's disease and health condition. It can be useful to apply the proposed algorithm to a process of inference in the Personal Health Care Service Platform and makes it possible to recommend customized health information to the user. It is useful for people to manage smart health care in aging society.

• Journal of Arbitration Studies
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• v.30 no.4
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• pp.121-138
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• 2020

The O2O services in the healthcare sector have only been in full swing for about three years, and unlike existing O2O consumer goods, the scale and scope of the dispute are more complicated due to restrictions on medical treatment. In this study, O2O service platform operators and medical institutions' roles and responsibilities were redefined as a countermeasure for resolving disputes in healthcare O2O services and the laws for changing the transaction environment. A change in institutional mechanisms was proposed. This study looked at the types of consumer disputes related to healthcare O2O services as insufficient information problems, problems in the course of medical service implementation, problems with immunity provisions for platform operators, cancellations, and non-compliance with refunds. All the information generated during transactions in the healthcare sector was extensive in scale and included the most sensitive information among personal information, stressing the importance of ensuring security. The area that started in the O2O range before the medical institution visit also proposed a plan to establish a system for the delivery of proven information as a pre-medical person. The scale and growth will grow faster, given that consumers can experience the information they want anytime, anywhere they want. However, the platform broker's role, a link player, will become more important because consumers who use the service will have their first meeting with non-face-to-face product providers. On the other hand, service providers may have side effects of misleading consumers by providing false information or misleading consumers through exaggerated advertisements. The O2O service market is expected to expand beyond distribution and dining out to the entire industry. However, since it is challenging to check accurate statistics on the detailed market, various disputes and consumer protection measures will be required for each detailed market, and comprehensive leading solutions will be essential in the future.

• Journal of the Korean Society of Physical Medicine
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• v.16 no.3
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• pp.81-87
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• 2021

PURPOSE: This study compared the cross-sectional areas (CSA) of the cervical muscles of straight neck patients and normal participants during a craniocervical flexion exercise (CCFE) using computerized tomography (CT) to investigate the effects of CCFE on the cervical curve. METHODS: Eighteen subjects were recruited for this study. Nine subjects were allocated to the straight neck group (subjects with pain and a cervical lordosis angle of less than 20°); the remainder formed the control group (subjects with a cervical lordosis angle greater than 20°). The CSA of the subjects' neck flexors (longus colli, longus capitis, and sternocleidomastoid) were measured by CT during rest and CCFE in the supine position, and the range of motion (ROM) of neck flexion was measured using a C-ROM instrument in a sitting. RESULTS: The straight neck group had a significantly smaller CSA of the longus colli, longus capitis, and sternocleidomastoid than the control group (p < .05). Both the straight neck and control groups showed statistically significant increases in the CSA of the neck flexors during CCFE compared to that at rest (p < .05). In addition, the straight neck group showed a significantly smaller ROM of neck flexion than the control group (p < .05). CONCLUSION: The results of this study provide more concrete evidence for therapists by demonstrating that CCFE improves the neck function by strengthening the neck flexors and increasing the neck stability for straight neck patients. Therefore, it is necessary to perform CCFE and neck extension exercises to rehabilitate straight neck patients.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.403-411
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• 2021

The purpose of this study is to investigate factors associated with internet health information seeking behavior of younger children's parents. The subjects included 108 parents with infants and children, the survey was conducted with structured questionnaires about attitudes to internet health information, e-health literacy, and internet health information seeking behavior. Data were analyzed by t-test, ANOVA, Scheffé test, and multiple regression analysis. As a results of the study, perceived usefulness and information utilization was founded to factors associated with internet health information seeking behavior of younger children's parents. Based on the results of this study, it is necessary to develop a program to provide health information and manage utilization by considering the characteristics, usefulness, and information utilization of infants and their parents.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.127-135
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• 2023

Nowadays, the number of patients committing suicide due to depression and stress is rapidly increasing. In addition, if stress and depression last for a long time, they are dangerous factors that can cause heart disease, brain disease, and high blood pressure. However, no matter how modern medicine has developed, it is a very difficult situation for patients with depression and heart disease without special drugs or treatments. Therefore, in many countries around the world, studies are being actively conducted to determine patients at risk of depression and patients at risk of suicide at an early stage using electrocardiogram, oxygen saturation, and brain wave analysis functions. In this paper, in order to analyze these problems, a computer simulation was performed to determine heart disease risk patients by establishing heart disease hypothesis data. In particular, in order to improve the predictive rate of heart disease by more than 10%, a simulation using fuzzy inference was performed.