Energy-efficient sensing with physically secure communication for biosensors on, around,
and within the human body is a major area of research for the development of low-cost …

Background The progress in microtechnology has enabled an exponential trend in the
number of neurons that can be simultaneously recorded. The data bandwidth requirement is …

Objective. Translational efforts on spike-signal-based implantable brain-machine interfaces
(BMIs) are increasingly aiming to minimise bandwidth while maintaining decoding …

Objective. Various on-workstation neural-spike-based brain machine interface (BMI)
systems have reached the point of in-human trials, but on-node and on-implant BMI systems …

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 …

Spike detection is an essential first step in the analysis of neural recordings. Detection at the
frontend eases the bandwidth requirement for wireless data transfer of multichannel …

We present a study on wavelet detection methods of neuronal action potentials (APs). Our
final goal is to implement the selected algorithms on custom integrated electronics for on …

Electrocardiogram (ECG) records the electrical potentials of the heart. ECG reveals a lot of
useful information on the normal and abnormal conditions of heart. It is very difficult to …

Motor brain machine interfaces (BMIs) directly link the brain to artificial actuators and have
the potential to mitigate severe body paralysis caused by neurological injury or disease …

This paper assesses and challenges whether commonly used methods for defining
amplitude thresholds for spike detection are optimal. This is achieved through empirical …