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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...
Security and privacy are among the most crucial issues for data transmission in telemedicine systems. This paper proposes a solution for securing wireless data transmission in telemedicine systems, i.e. within a body sensor network (BSN), between the BSN and server as well as between the server and professionals who have assess to the server. A unique feature of this solution is the generation of...
Technology advantages of wireless sensor networks have shown great deal of promises in various biomedical applications. In this paper we introduced a specially-designed body sensor networks (BSN) development platform for on-body physiological measurements and body-proximal wireless data communications. The BSN platform we have developed insofar include BSN node boards, a photoplethysmograph sensor...
This paper presented a wearable body sensor network (BSN) that could be potentially employed for dynamic body energy expenditure monitoring. Three compact BSN nodes were deployed at wrist, abdomen and ankle, respectively. Acceleration signals from the multiple body sites were used to calculate a whole body weighted acceleration value. Preliminary results indicated that the standard deviation of the...
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...
The use of sensor networks for healthcare, well-being, and working in extreme environments has long roots in the engineering sector in medicine and biology community. With the maturity of wireless sensor networks, body area networks (BANs), and wireless BANs (WBANs), recent efforts in promoting the concept of body sensor networks (BSNs) aim to move beyond sensor connectivity to adopt a system-level...
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