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The surface measurement of electrical impedance of muscle, incorporated as the technique of electrical impedance myography (EIM), provides a noninvasive approach for evaluating neuromuscular diseases, including amyotrophic lateral sclerosis. However, the relationship between alterations in surface impedance and the electrical properties of muscle remains uncertain. In order to investigate this further,...
A low power biomedical digital signal processor ASIC based on hardware and software codesign methodology was presented in this paper. The codesign methodology was used to achieve higher system performance and design flexibility. The hardware implementation included a low power 32bit RISC CPU ARM7TDMI, a low power AHB-compatible bus, and a scalable digital co-processor that was optimized for low power...
Low power consumption is one of the key design challenges for various pervasive healthcare systems. Compressive Sampling (CS) is an emerging technique for reconstructing signals from data sampled under the Nyquist rate. CS has great potentials for low power pulse rate detection based on photoplethysmograph (PPG) signals, since by reducing the PPG data sampling rate the LEDs could be turned off for...
Visually impaired or blind people have a reduced ability to perceive their environment. The accessible environment is drastically constrained by the length of canes. Numerous approaches e.g. ultrasound enhanced canes did not solve the problem. Most of them use the auditory system for information transfer, which is not appreciated by the blind because acoustics are already involved in the spatial orientation...
There is a growing demand of high-precision and low-power ICs for physiological signal acquisitions. One of the crucial functional blocks for such ICs is the analogue front-end circuit. In this paper we presented a compact analogue front-end circuit with adjustable gains that is elaborated for various physiological signal acquisitions. The circuit we have developed consists of a gain programmable...
Modern microelectronics technologies play important roles in body sensor networks (BSN). In this paper a field programmable analogue ASIC working on the discrete-time mode for biomedical signal filtering was presented. The ASIC we have developed incorporates a switched-capacitor based analogue module, a current source, a voltage source, an oscillator, and a double-phase non-overlapping clock source...
Blood pressure monitoring is routinely required in many mobile health applications, but the present cuff based measuring system (Finapres) is often unsuitable due to being too big and uncomfortable. An alternative method is to measure the digital volume pulse, which can be non-invasively recorded using the photoplethysmography (PPG), and predict the blood pressure waveform from that of PPG. The benefit...
This paper proposes a new algorithm to classify pulse waveforms based on discrete wavelet network. This paper selects 4-order discrete Daubechies wavelet as the wavelet node of this wavelet network to classify six pulse patterns distinctive in shape. 600 pulse records are used to train this wavelet network and 300 pulse records are used to test the classifier's performance. The test results show that...
This paper develops a new predictor of walking energy expenditure from wireless measurements of body movements using triaxial accelerometers. Reliable data were collected from repeated walking experiments in different conditions on a treadmill with simultaneous measurement of expired oxygen and carbon dioxide. Support vector regression, a powerful non-linear regression method, was used to process...
The computerization of traditional Chinese pulse diagnosis (TCPD) is relatively new in the field of automatic physiological signal analysis and diagnosis. The classification of pulse patterns according to their positions and shapes have been intensively investigated, but until now no research in identifying pulses by their rhythms has been found. This paper introduces a method to distinguish rhythmic...
This paper investigates the effects of orientation error in the positioning of triaxial accelerometers on the assessment of energy expenditure. Four subjects walked on a treadmill at varying velocities ranging from 4km.h-1 to 5km.h-1 . During each test, a triaxial accelerometer attached to the lower back at arbitrary orientations to record body accelerations. Energy expenditure was estimated by the...
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