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This paper discusses ultra-low-power wireless sensor nodes intended for wearable biopotential monitoring. Specific attention is given to mixed-signal design approaches and their impact on the overall system power dissipation. Examples of trade-offs in power dissipation between analog front-ends and digital signal processing are also given. It is shown how(More)
Power efficiency of readout circuits for ambulatory monitoring of biopotential signals has been significantly improved during recent years [1]-[3], leaving digital signal processing (DSP) and wireless transmission dominating the system power [4]. In addition, field tests have revealed that motion artifacts are a significant problem requiring even more(More)
Recent results of the autonomous sensor research program HUMAN++ will be summarized in this paper. The research program aims to achieve highly miniaturized and (nearly) autonomous sensor systems that assist our health and comfort. Although the application examples are dedicated to human monitoring/assistance, the necessary technology development for this(More)
Abstract. We propose a new EEG-based wireless brain computer interface (BCI) with which subjects can “mind-type” text on a computer screen. The application is based on detecting P300 event-related potentials in EEG signals recorded on the scalp of the subject. The BCI uses a simple classifier which relies on a linear feature extraction approach. The(More)
An ECG signal processor (ESP) is proposed for ambulatory arrhythmia monitoring systems. The ESP consists of three heterogeneous processors and performs filtering, data compression, ECG classification, and encryption. A data reduction scheme, consisting of skeleton and Huffman coding, are employed to reduce the on-chip memory capacity and memory access(More)
An ECG signal processor (ESP) is proposed for the low energy wireless ambulatory arrhythmia monitoring system. The ECG processor mainly performs filtering, compression, classification and encryption. The data compression flow consisting of skeleton and modified Huffman coding is the essential function to reduce the transmission energy consumption and the(More)
The European project NeuroProbes has introduced a new methodology to allow the fine positioning of electrodes within an implantable probe with respect to individual neurons. In this approach, probes are built with a very large number of electrodes which are electronically selectable. This feature is implemented thanks to the modular approach adopted in(More)