Compact low-power cortical recording architecture for compressive multichannel data acquisition
M Shoaran, MH Kamal, C Pollo… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper introduces an area-and power-efficient approach for compressive recording of
cortical signals used in an implantable system prior to transmission. Recent research on …
cortical signals used in an implantable system prior to transmission. Recent research on …
Energy-aware design of compressed sensing systems for wireless sensors under performance and reliability constraints
This paper describes the system design of a compressed sensing (CS) based source
encoding system for data compression in wireless sensor applications. We examine the …
encoding system for data compression in wireless sensor applications. We examine the …
A closed-loop compressive-sensing-based neural recording system
Objective. This paper describes a low power closed-loop compressive sensing (CS) based
neural recording system. This system provides an efficient method to reduce data …
neural recording system. This system provides an efficient method to reduce data …
Data compression in brain-machine/computer interfaces based on the Walsh–Hadamard transform
H Hosseini-Nejad, A Jannesari… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper reports on the application of the Walsh-Hadamard transform (WHT) for data
compression in brain-machine/brain-computer interfaces. Using the proposed technique, the …
compression in brain-machine/brain-computer interfaces. Using the proposed technique, the …
A method for compression of intra-cortically-recorded neural signals dedicated to implantable brain–machine interfaces
MA Shaeri, AM Sodagar - IEEE Transactions on Neural systems …, 2014 - ieeexplore.ieee.org
This paper proposes an efficient data compression technique dedicated to implantable intra-
cortical neural recording devices. The proposed technique benefits from processing neural …
cortical neural recording devices. The proposed technique benefits from processing neural …
Compressive sensing of neural action potentials using a learned union of supports
Wireless neural recording systems are subject to stringent power consumption constraints to
support long-term recordings and to allow for implantation inside the brain. In this paper, we …
support long-term recordings and to allow for implantation inside the brain. In this paper, we …
Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data
The present invention relates to a method for compressing signal data of a plurality of
biological signals captured by a plurality of implanted measurement devices. The present …
biological signals captured by a plurality of implanted measurement devices. The present …
Anomaly detection in invasively recorded neuronal signals using deep neural network: effect of sampling frequency
Abnormality detection has advanced in recent years with the help of machine learning, in
particular with deep learning models, which can predict accurately across many types of …
particular with deep learning models, which can predict accurately across many types of …
Communication channel analysis and real time compressed sensing for high density neural recording devices
Next generation neural recording and brain-machine interface (BMI) devices call for high
density or distributed systems with more than 1000 recording sites. As the recording site …
density or distributed systems with more than 1000 recording sites. As the recording site …
A 64-channel neural signal processor/compressor based on Haar wavelet transform
MA Shaeri, AM Sodagar… - … Conference of the …, 2011 - ieeexplore.ieee.org
A signal processor/compressor dedicated to implantable neural recording microsystems is
presented. Signal compression is performed based on Haar wavelet. It is shown in this …
presented. Signal compression is performed based on Haar wavelet. It is shown in this …