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This paper reports a wireless sensing device which is completely powered by inertial motion. Self-synchronous switching is applied to the device using switching diodes and reed switches, which allows the system to function in response to its moving proof mass. By combining piezoelectric energy harvesting and radio frequency (RF) transmission, a fully functional piezoelectric system is achieved, for...
One of the main challenges in developing wireless biometric sensors is the requirement for integration of various systems into a very compact device. Such systems include sensing units, conditioning electronics, transmitters and power supplies. In this work, a novel system integration architecture is presented. A unique feature of this new architecture is that the sub-systems are selected and designed...
A method is presented for minimizing the power consumption of size-constrained oscillator transmitters by selecting the preferred carrier frequency from among the standard ISM bands. The method has been applied to CMOS oscillator transmitters in which a single-turn loop antenna doubles as the inductor in the frequency-defining LC tank. A detailed model of the transmitter circuit, including the antenna,...
The Continuous Wavelet Transform (CWT) is a highly useful signal processing technique for which low power implementations are desirable, for example to allow the transform to be used in battery powered, portable devices. This paper describes a Low Power CWT (LPCWT) implementation that is based around the mathematical approximation of a mother wavelet and uses application specific information to guide...
High quality, wireless ambulatory EEG (AEEG) systems that can operate over extended periods of time are not currently feasible due to the high power consumption of wireless transmitters. Previous work has thus proposed data reduction by only transmitting sections of data that contain candidate epileptic activity. This paper investigates algorithms by which this data selection can be carried out. It...
The realisation of wireless EEG systems suitable for long term monitoring requires low noise, low power and low voltage circuit design. Presented in this paper is a 1 V, 1.4 muW chopper amplifier implemented in a 0.35 mum CMOS process. The achieved input referred noise voltage is 1.5 muV rms and the gain is 44 dB. Since the dynamic range of the input EEG signal is dominated by the offset voltage generated...
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