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Advances in neuronal probe technology to record brain activity have posed a significant challenge in performing necessary processing and analysis of the recorded data. To be able to infer meaningful conclusions from the recorded signals through these probes, sophisticated signal processing and analysis tools are required. This paper presents a MATLAB-based novel tool, `SigMate', capable of performing...
The channel bridging, signal regenerating, and functional rebuilding of injured nerves is one of the most important issues in life science research. In recent years, some progresses in the research area have been made in repairing injured nerves with microelectronic neural bridge. Based on the previous work, this paper presents a neural signal detection and functional electrical stimulation (FES)...
This paper reports a multi-channel neural recording system-on-chip (SoC) with digital data compression and wireless telemetry. The circuit consists of a 16 amplifiers, an analog time division multiplexer, an 8-bit SAR AD converter, a digital signal processor (DSP) and a wireless narrowband 400-MHz binary FSK transmitter. Even though only 16 amplifiers are present in our current die version, the whole...
Automatic detection of electrocardiogram (ECG) waves provides important information for cardiac disease diagnosis. In this paper a new algorithm is proposed for automatic ECG segmentation based on multi-lead ECG processing. Two auxiliary signals are computed from the first and second derivatives of several ECG leads signals. One auxiliary signal is used for R peak detection and the other for ECG waves...
Pulse wave velocity (PWV) determined through the foot-to-foot time delay between carotid and femoral artery waveforms is an index of aortic stiffness with proven clinical value. However, handheld transducers, which are often used to non-invasively measure the waveforms, are prone to motion artifact that may limit the full potential of this index. Here, we conceived an artifact robust technique to...
Extracting or estimating skeletal hand/finger forces using surface electro myographic (sEMG) signals poses many challenges due to cross-talk, noise, and a temporal and spatially modulated signal characteristics. Normal sEMG measurements are based on single sensor data. In this paper, array sensors are used along with a proposed sensor fusion scheme that result in a simple Multi-Input-Single-Output...
Several algorithms are available to quantify nystagmus beats in electro nystagmography (ENG) and video-oculography (VOG) recordings. These algorithms use parameterized approaches to detect the fast components of nystagmus beats. This paper proposes a wavelet approach to detect fast components of nystagmus beats. The main advantage of this approach compared to alternatives, is the completely unsupervised...
The aim of this paper is to demonstrate a highly integrated architecture for direct Analog-to-QRS detection for ultra low power single chip implementation suitable for long term wearable monitoring. A novel variable input-feature correlated asynchronous sampling technique is proposed for direct sampling-cum-data compression at the ECG electrodes with embedded mixed-signal algorithm for direct recognition...
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