Fiber optic based sensor technologies have many significant advantages over electrochemical sensors, and as a result have broad application for sensing in biology, agriculture and medicine. An important component of f...
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ISBN:
(纸本)9780819469199
Fiber optic based sensor technologies have many significant advantages over electrochemical sensors, and as a result have broad application for sensing in biology, agriculture and medicine. An important component of fiber optic biosensor is the sensing element. Usually, a polymer matrix containing the analyte specific fluorescent dye is immobilized on one end of the fiber optic probe. The polymer matrix provides mechanical stability to the immobilized membrane and entraps the fluorescent dye molecules. The target analyte diffuses into the membrane polymer and quenches the fluorescent dye. This optical interaction between the analyte and fluorescent dye dynamically changes the fluorescence lifetime of the dye. These changing fluorescent lifetimes reveal information about the target analyte concentration. Although the fluorescent lifetime of the dye is of primary interest, high signal-to-noise ratio (SNR) is also very desirable. Conventionally, complex electronics is implemented to achieve high SNR_ Various signal processing methods such as signal amplification and filtering are implemented to achieve high SNR_ In this study, we report optical signal amplification by modification of the dye-polymer matrix by addition of titanium oxide particles. The addition of titanium oxide particles enhanced the optical signal intensity. Optical performances of different sizes and concentrations of titanium oxide particles are compared. We believe that this increased optical intensity is due to increased optical scattering in the dye-polymer matrix. We also compare the performance of titanium oxide particles to gold and other material particles to experimentally probe the exact nature of light scattering in the dye-polymer matrix.
Personal Robots and Robot technology (RT)-based assistive devices are expected to play a major role in Japan's elderly-dominated society, both for joint activities with their human partners and for participation i...
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ISBN:
(纸本)9781424412631;1424412633
Personal Robots and Robot technology (RT)-based assistive devices are expected to play a major role in Japan's elderly-dominated society, both for joint activities with their human partners and for participation in community life. These new devices should be capable of smooth and natural adaptation and interaction with their human partners and the environment, should be able to communicate naturally with humans, and should never have a negative effect on their human partners, neither physical nor emotional. To achieve this smooth and natural integration between humans and robots, we need first to investigate and clarify how these interactions are carried out. Therefore, we developed the portable Bioinstrumentation System WB-1R (Waseda Bioinstrumentation system no.1 Refined), which can measure the movements of the head, the arms, the hands (position, velocity, and acceleration), as well as several physiological parameters (electrocardiogram, respiration, perspiration, pulse wave, and so on), to objectively measure and understand the physical and physiological effects of the interaction between robots and humans. In this paper we present our development of the head and hands motion capture systems as additional modules for the Waseda Bioinstrumentation system No.1 (WB-1). The preliminary experimental results, given the inexpensiveness of the systems, are good for our purposes.
Some reports show that the physiological information measured in hospital is not enough without the one measured in home. The physiological information monitored in home, therefore, is strongly required recently. The ...
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ISBN:
(纸本)0819460729
Some reports show that the physiological information measured in hospital is not enough without the one measured in home. The physiological information monitored in home, therefore, is strongly required recently. The goal of this research is to develop a wearable and tractable sensor system for detecting biomedical signals such as cardiac rhythm, respiration, body movement, and percentage of body fat (%BF) and for home health care. A belt type sensor for this purpose is developed, which consists of sensing materials of PVDF film and conductive fabrics. Also several data processing techniques, such as the discrete wavelet transform, cross correlation and adaptive filtering method, were introduced to eliminate noises and base wandering and to extract the specified components. The ECG and respiration signals obtained by the proposed belt type sensor system gave good agreements with commercial medical system. Furthermore, the body fat (%BF) measurement based on the four-electrode BIA was also built in the belt sensor. The body fat was calculated by measuring the body impedance from the belt type sensor and compared with the predicted %BF measured by the commercial adipometer (TBF-607). The results validated also the efficiency of the belt type sensor system.
Recent advances in wireless communication technologies, smartsensors and high-performance low-power microprocessors opened space for applications in many different areas, such as medicine. Putting together these tech...
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Recent advances in wireless communication technologies, smartsensors and high-performance low-power microprocessors opened space for applications in many different areas, such as medicine. Putting together these technologies to meet functional specification of the applications and operation requirements still presents many challenges, mainly due to limited power supply. This paper presents research challenges and solutions for a biomedicalsensor application. Novel features have been included in a system for real-time remote monitoring of physiological signals (electrocardiogram, blood oxygen level, and blood pressure), improving its functionality, performance, and power management. The concept of quality of service (QoS) is applied to power management, which is focused on the application parameters.
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