• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.2
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• pp.221-231
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• 2013

Exchanging personal health information(PHI) is an essential process of healthcare services using information and communication technology. But the process have the inherent risk of information disclosure, so the PHI should be protected to ensure the reliability of healthcare services. In this paper, we designed encryption module for wearable personal health devices(PHD). A main goal is to guarantee that the real-time encoded and transmitted PHI cannot be allowed to be read, revised and utilized without user's permission. To achieve this, encryption algorithms as DES and 3DES were implemented in modules operating in Telos Rev B(16bit RISC, 8Mhz). And the experiments were performed in order to evaluate the performance of encryption and decryption using vital-sign measured by PHD. As experimental results, an block encryption was measured the followings: DES required 1.802 ms and 3DES required 6.683 ms. Also, we verified the interoperability among heterogeneous devices by testing that the encrypted data in Telos could be decoded in other machines without errors. In conclusion, the encryption module is the method that a PHD user is given the powerful right to decide for authority of accessing his PHI, so it is expected to contribute the trusted healthcare service distribution.

• Journal of Biomedical Engineering Research
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• v.30 no.6
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• pp.503-509
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• 2009

The development of technology has led to ubiquitous health care service, which enables many patients to receive medical services anytime and anywhere. For the ubiquitous health care environment, real-time measurement of biomedical signals is very important, and the medical instruments must be small and portable or wearable. So, such devices have been developed to measure biomedical signals. In this study, we develop the biomedical monitoring device which is sensing the PPG signal, one of the useful signal in the field of ubiquitous healthcare. We design a watch-like biomedical signal monitoring system without a finger probe to prevent the user's inconvenience. This system obtains the PPG from the radial artery using a sensor in the wrist band. But, new device developed in this paper is easy to get the motion artifacts. So, we proposed new algorithm removing the motion artifacts from the PPG signal. The method detects motion artifacts by changing the degree of brightness of the light source. If the brightness of the light source is reduced, the PPG pulses will disappear. When the PPG pulses have disappeared completely, the remaining signal is not the signal that results from the changing blood flow. We believe that this signal is the motion artifact and call it the noise reference signal. The motion artifacts are removed by subtracting the noise reference signal from the input signal. We apply this algorithm to the system, so we can stabilize the biomedical monitoring system we designed.