Tunable Organic Active Neural Probe Enabling Near‐Sensor Signal Processing (Adv. Mater. 38/2023)

Electronically Tunable Signal Processing Circuit

This paper presents a voltage mode universal filter using two multi-output operational transconductance amplifier (OTA). Proposed multi-input single output universal filter employs two capacitors only and realizes all the standard second order filtering functions from same configuration. Filter parameters namely pole frequency and quality factor can be tuned independently without affecting each...

Metamaterials: Snapping Mechanical Metamaterials under Tension (Adv. Mater. 39/2015).

By exploiting snap-through instabilities, D. Pasini and co-workers design a damage-tolerant mechanical metamaterial that snaps sequentially under tension, thereby accommodating a very large deformation up to 150%. On page 5931, they describe how the nonlinear mechanical response of the metamaterial can be robustly programmed by tuning the architecture of its unit cell.

A neural probe process enabling variable electrode configurations

Up till now, silicon neural probes have been produced using fixed lithographic mask sets, which is straightforward but inflexible and costly with respect to redesigns for small production volumes. We demonstrate a method to vary the recording site distribution on neural probes with a maskless finishing process. The concept is based on the use of direct write laser lithography (DWL) in one mask ...

Detecting and Predicting Muscle Fatigue during Typing By SEMG Signal Processing and Artificial Neural Networks

Introduction: Repetitive strain injuries are one of the most prevalent problems in occupational diseases. Repetition, vibration and bad postures of the extremities are physical risk factors related to work that can cause chronic musculoskeletal disorders. Repetitive work on a computer with low level contraction requires the posture to be maintained for a long time, which can cause muscle fatigu...

Neural Signal Processing : Tutorial 1