Chia-Hsiang Yang

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In this paper, an 8-channel closed-loop neural-prosthetic SoC is presented for real-time intracranial EEG (iEEG) acquisition, epileptic seizure detection, and adaptive feedback stimulation control. The SoC is composed of 8 energy-efficient analog front-end amplifiers (AFEAs), a 10b delta-modulated SAR ADC (DMSAR ADC), a configurable bio-signal processor(More)
Epilepsy is one of the most common neurological disorders. Around 1% of the world's population is affected, and nearly 25% of the patients cannot be treated by available therapies. Recently, seizure-triggered feedback electrical stimulation has been proved to effectively suppress pathological brain activities [1], but devices with accurate detection and(More)
Ultra-wideband (UWB) communication is a new wireless technology that transmits data over a wide bandwidth for low-power and short-range communication. Of the different proposals for UWB, impulse-radio based technology uses nano-second base-band pulses to achieve spread spectrum transmission [1]. Impulse transmission eliminates the need for up/down(More)
—This paper presents a hybrid soft-output MIMO detector that searches reliable soft-information in both determin-istic and probabilistic ways. The fixed-complexity sphere detector (FSD) is first applied to provide near maximum-likelihood (ML) solutions. The solutions are next used to initialize the Markov Chain Monte Carlo (MCMC) detector that uses parallel(More)
OBJECTIVE Around 1% of the world's population is affected by epilepsy, and nearly 25% of patients cannot be treated effectively by available therapies. The presence of closed-loop seizure-triggered stimulation provides a promising solution for these patients. Realization of fast, accurate, and energy-efficient seizure detection is the key to such implants.(More)
To improve the performance of epileptic seizure detection, independent component analysis (ICA) is applied to multi-channel signals to separate artifacts and signals of interest. FastICA is an efficient algorithm to compute ICA. To reduce the energy dissipation, eigenvalue decomposition (EVD) is utilized in the preprocessing stage to reduce the convergence(More)