• 한국정보전자통신기술학회논문지
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• 제11권1호
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• pp.114-120
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• 2018

본 논문에서는 근전도 신호 획득 및 분석을 위한 웨어러블 디바이스용 센서 시스템을 구현하였다. 구현된 시스템의 성능은 임상용 근전도 시스템에서 획득된 근전도 신호와 근피로도 및 근활성도의 상관성 분석에 의해 평가되었으며 실측된 소비 전력이 상용 근전도 시스템들과 비교되었다. 5명의 피실험자들의 이두박근 및 삼두박근에서 수집된 근전도 신호를 통한 실험에서, 구현된 시스템이 임상용 근전도 센서 시스템과 근피로도는 1.1~1.4의 상관성을, 근활성도는 약 1.0의 강한 양의 상관 경향성을 보여주었다. 또한 소비전력의 비교에서 구현된 시스템의 소비전력이 상용 근전도 시스템보다 25%~50%의 감소하였다.

• Journal of Communications and Networks
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• 제16권4호
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• pp.465-474
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• 2014

Wireless sensor network (WSN) is considered to be one of the most important research fields for ubiquitous healthcare (u-healthcare) applications. Healthcare systems combined with WSNs have only been introduced by several pioneering researchers. However, most researchers collect physiological data from medical nodes located at static locations and transmit them within a limited communication range between a base station and the medical nodes. In these healthcare systems, the network link can be easily broken owing to the movement of the object nodes. To overcome this issue, in this study, the fast link exchange minimum cost forwarding (FLE-MCF) routing protocol is proposed. This protocol allows real-time multi-hop communication in a healthcare system based on WSN. The protocol is designed for a multi-hop sensor network to rapidly restore the network link when it is broken. The performance of the proposed FLE-MCF protocol is compared with that of a modified minimum cost forwarding (MMCF) protocol. The FLE-MCF protocol shows a good packet delivery rate from/to a fast moving object in a WSN. The designed wearable platform utilizes an adaptive linear prediction filter to reduce the motion artifacts in the original electrocardiogram (ECG) signal. Two filter algorithms used for baseline drift removal are evaluated to check whether real-time execution is possible on our wearable platform. The experiment results shows that the ECG signal filtered by adaptive linear prediction filter recovers from the distorted ECG signal efficiently.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.233-236
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• 2010

This paper describes the packet traffic management of the Ubiquitous Healthcare System. In this system, ECG signal and accelerometer signal is transmitted from a wearable health shirt (WHS) to the base station. However, with the increment of users in this system, traffic over-load issue occurs. The main aim of this paper is to reduce the traffic over-load issue between sensor nodes by only transmitting the required signals to the base station when irregular activities are observed. In order to achieve this, in-network processing is adapted where the process of observation is conducted inside the sensor node of WHS. Results shows that irregular activities such as fall can be detected on real-time inside the sensor node and thus resolves traffic over-load issue.

• 제어로봇시스템학회논문지
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• 제15권3호
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• pp.286-292
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• 2009

This paper proposes a knee-wearable robot system for assisting the muscle power of human knee by processing EMG (Electromyogram) signals. Although there are many muscles affecting the knee joint motion, the rectus femoris and biceps femoris among them play a core role in the extension and flexion motion, respectively, of the knee joint. The proposed knee-wearable robot system consists of three parts; the sensor for measuring and processing EMG signals, controller for estimating and applying the required knee torque, and actuator for driving the knee-wearable mechanism. Ultimately, we suggest the motion control method for knee-wearable robot system by processing the EMG signals of corresponding two muscles in this paper. Also, we show the effectiveness of the proposed knee-wearable robot system through the experimental results.

• 센서학회지
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• 제31권6호
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• pp.403-410
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• 2022

Flexible and wearable sensing technologies have emerged as a result of developments in interdisciplinary research across several fields, bringing together various subjects such as biology, physics, chemistry, and information technology. Moreover, various types of flexible wearable biocompatible devices, such customized medical equipment, soft robotics, bio-batteries, and electronic skin patches, have been developed over the last several years that are extensively employed to monitor biological signals. As a result, we present an updated overview of new bio-implantable sensor technologies for various applications and a brief review of the state-of-the-art technologies.

• 한국정밀공학회지
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• 제25권3호
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• pp.141-146
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• 2008

The purpose of this study is to develop the algorithm which can control muscle power assist robot especially for elderly. Recently, wearable robots for power assistance are developed by many researchers, and its application fields are also variable such as for medical or military equipment. However, there are many technical barriers to develop the wearable robot. This study suggest a control method improving performance of a wearable robot system by using a EMG signal of major muscles and a force sensor signal as command signal of system. The result of the robot Prototype efficiency experiment, the case of Maximum Isometric motion it suggest 100% power of muscle, the man need only 66% of MVIC(Maximum Voluntary Isometric Contraction) to lift 5kg dumbbell without robot assist. However the man needs only 52% of MVIC to lift 5kg dumbbell with robot assist. Therefore 20% muscle power increased with robot assist. Also, we designed light weight robot mechanism that extract the command signal verified and drive the wanted motions.

• 한국항행학회논문지
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• 제12권6호
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• pp.640-645
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• 2008

유비쿼터스 지능화 사회로 진입하면서 웨어러블 컴퓨터, 스마트 섬유, 스마트 패션 등 다양한 형태의 스마트웨어 관련 연구들이 가시화 되고 있다. 본 연구에서는 휴대성과 편의성을 개선시킨 부착형 3D 정보 입력 장치를 구현하였다. 3D 정보입력 시스템은 공간 좌표인식을 위한 자이로 센서, RF 송수신기 및 신호처리모듈 등으로 구성되었다. 테스트 보드를 제작하여 인체부착 용이성, 통신거리, 동작감지도 등의 일련의 실험을 수행하여 설계된 시스템의 효용성을 검증 하였다.

• 대한임베디드공학회논문지
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• 제17권1호
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• pp.1-7
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• 2022

The number of patients with many complications grows with the increase of aging population. As the elders and severely ill patients spend most of their time in bed, it leads to Pressure Injuries (PI) such as bedsores. Unfortunately, there is no method to automatically detect changes in patient's posture which leads to the need for a caregiver every set of times when the patient needs to be moved. Many studies are conducted to solve this inefficient problem. Yet, these studies require costly devices or use methods that disturb patient's sleeping environment. Those methods are mostly hard to implement in practice due to these reasons. We propose a method to detect posture using a three-axis acceleration sensor from the wrist band. We developed a wearable watch that measures sleep-related data. We analyzed 40 people's sleep data with a wearable module and watch to measure their postures such as supine, left-side, and right-side. Then, we compared the classified posture from the watch with the wearable module and achieved 90% accuracy. Therefore, we concluded that only by using the wearable watch, we can detect the sleeping position without any new equipment or system to diagnose the patients without discomfort during their daily lives.

• 전자공학회논문지 IE
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• 제46권3호
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• pp.55-61
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• 2009

본 논문은 독거노인을 위한 보조 시스템을 제안한다. 제안한 시스템은 착용형 RFID 시스템과 게이트웨이 시스템, 서버 시스템으로 구성된다. 착용형 RFID 시스템은 장갑형태로 구성되며, 싱크노드와 RFID 리더기를 갖는 센서노드로 구성된다. 센서노드는 가구나 약병, 설탕, 소금 등의 다양한 일상생활 물체에 부착된 RFID 태그를 읽는다. 센서 노드는 무선 패킷을 싱크노드로 전송한다. 싱크노드는 수신된 패킷을 게이트웨이로 보내고, 게이트웨이는 수신된 패킷을 서버로 전달한다. 서버 시스템은 데이터베이스 서버와 웹 서버로 구성된다. 착용형 RFID 시스템에서 전달된 데이터는 데이터베이스에 저장되고, 사용자의 일상 생활 활동정보를 표시한다. 처리된 데이터는 가족이나 수발제공자, 병원관계자 등 사용자의 일상생활 패턴을 원하는 사용자에게 제공될 수 있다.

• 센서학회지
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• 제22권1호
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• pp.76-83
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• 2013

A real-time wireless monitoring and analysis methods using the wearable PPG sensor to estimate cardiovascular condition is studied for ubiquitous healthcare service. A small size and low-power consuming wearable photoplethysmogram (PPG) sensor is designed as a wrist type device and connected with the IP node assigned its own IPv6 address. The measured PPG waveform in the IP node is collected and transferred to a central server PC through the IP-enabled wireless network for storage and analysis purposes. A monitoring and analysis program is designed to process the accelerated plethysmogram (APG) waveform by applying the second order derivatives to analyze systolic waves as well as heart rate variability analysis from the measured PPG waveform. From our results, the features of cardiovascular condition from individual's PPG waveform and estimation of vascular compliance by the comparison of APG-aging index (AI) and ratio of LF/HF are demonstrated.