• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.11 s.353
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• pp.16-24
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• 2006

In this paper, we implement a U-healthcare system that can be applied to a service integration system. This system consists of a wireless network system a sensor module, and a integration server. The wireless network system collects data and the sensor module measures body fat, blood pressure, quantity of exercise, and SPO2. The server integrates user certification, security service and VOD service and collects user health information in real-time, and sends the data in case of emergency to a doctor or guardian.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.1
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• pp.19-24
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• 2022

Through the development and dissemination of embedded devices, studies that may help patients are rapidly emerging. Recently, as wearable devices have become one of the ways to diagnose diseases in daily life, they are being studied as a way to assist severely ill patients to lead their daily lives. Among them, a method of detecting and giving signals to detect and solve symptoms using acceleration sensors to diagnose Parkinson's disease is being studied, and there is no study to measure and analyze various factors that can affect Parkinson's disease. To solve them, we designed and developed a wearable device, P-Band, with various sensors capable of diagnosing related symptoms, including acceleration sensors capable of diagnosing Parkinson's disease. In this paper, the overall structure of the P-Band and the description and operation method of the measurable sensors are presented. In addition, it was confirmed that the symptoms of Parkinson's patients could be determined complexly through the results measured in actual patients.

• The Journal of the Korea Contents Association
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• v.8 no.1
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• pp.143-151
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• 2008

In this paper, we have implemented a ubiquitous healthcare system that can measure and check human's health in anytime and anywhere. The implemented prototype are composed of both front-end and back-end. The front-end have several groups: environment sensor group such as temperature, humidity, photo, voice sensor, health sensor group such as blood pressure, heart beat, electrocardiogram, spo2 sensor, gateway for wired/wireless communication, and RFID reader to identify personal. The back-end has a serial forwarder to propagate measurment results, monitor program, and medical information server The implemented sensor node constructs a sensor network using the Zigbee protocol and is ported the tinyOS. The data gathering base node is linux-based terminal that can transfer a sensed medial data through wireless LAN. And, the medical information server stores the processed medical data and can promptly notify the urgent status to the connected medical team. Through our experiments, we've confirmed the possibility of ubiquitous healthcare system based on sensor network using the Zigbee.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.921-924
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• 2007

In this paper, we have implemented a ubiquitous healthcare system that can measure and check human's health in anytime and anywhere. The implemented prototype are composed of both front-end and back-end. The front-end have several groups: environment sensor group such as temperature, humidity, photo, voice sensor, health sensor group such as blood pressure, heart beat, electrocardiogram, spo2 sensor, gateway for wired/wireless communication, and RFlD reader to identify personal. The back-end has a serial forwarder to propagate measurment results, monitor program, and medical information server. The implemented sensor node constructs a sensor network using the Zigbee protocol and is ported the TinyOS. The data gathering base node is linux-based terminal that can transfer a sensed medial data through wireless LAN. And, the medical information server stores the processed medical data and can promptly notify the urgent status to the connected medical team. Through our experiments, we've confirmed the possibility of ubiquitous healthcare system based on sensor network using the Zigbee.

• Korean Journal of Microbiology
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• v.46 no.2
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• pp.113-121
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• 2010

Bacillus subtilis PhoP-PhoR two-component system (TCS) senses phosphate deficiency conditions, and then controls expression of the Pho regulon to prolong survival. The sensor histidine kinase, PhoR, is autophosphorylated and transfers the phosphate to the response regulator, PhoP. Phosphorylated PhoP (PhoP~P) binds to repeated 6-bp consensus PhoP binding sequences of Pho regulon promoters and activates or represses gene expression. Pho signal transduction systems are part of interconnected signal transduction network involving at least three TCSs (PhoP-PhoR, ResD-ResE TCS, SpoOA phosphorelay), a global carbon metabolism regulator (CcpA), and transition state regulators (AbrB, ScoC). In addition, PhoP-PhoR TCS is cross related with YycF-YycG TCS by cross-regulation. While indescribable progress has been made in understanding phosphate deficiency stress response through refined expression of the Pho regulon in the recent past years, many important questions still remain. Solving these questions may provide important information for application study using B. subtilis.