A key challenge for near-infrared (NIR) powered neural recording ICs is to maintain robust operation in the presence of parasitic short circuit current from junction diodes when exposed to light. This is especially so when intentional currents are kept small to reduce power consumption. We present a neural recording IC that is tolerant up to 300 μW/mm light exposure (above tissue limit) and consumes 0.57 μW at 38°C, making it lowest power among standalone motes while incorporating on-chip feature extraction and individual gain control.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910782PMC
http://dx.doi.org/10.23919/VLSICircuits52068.2021.9492459DOI Listing

Publication Analysis

Top Keywords

neural recording
12
light tolerant
4
tolerant neural
4
recording near-infrared-powered
4
near-infrared-powered free
4
free floating
4
floating motes
4
motes key
4
key challenge
4
challenge near-infrared
4

Similar Publications

Test, track, treat using wearable sensors for management of Parkinson's disease: 12‑month prospective observational United Arab Emirates study using Parkinson's Kinetograph (EmPark-PKG Study).

J Neural Transm (Vienna)

December 2024

Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5 Cutcombe Road, London, SE5 9RX, UK.

Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by both motor and non-motor symptoms that necessitate ongoing clinical evaluation and medication adjustments. Home-based wearable sensor monitoring offers a detailed and continuous record of patient symptoms, potentially enhancing disease management. The EmPark-PKG study aims to evaluate the effectiveness of the Parkinson's KinetoGraph (PKG), a wearable sensor device, in monitoring and tracking the progression of motor symptoms over 12 months in Emirati and non-Emirati PD patients.

View Article and Find Full Text PDF

Deep brain stimulation (DBS), a proven treatment for movement disorders, also holds promise for the treatment of psychiatric and cognitive conditions. However, for DBS to be clinically effective, it may require DBS technology that can alter or trigger stimulation in response to changes in biomarkers sensed from the patient's brain. A growing body of evidence suggests that such adaptive DBS is feasible, it might achieve clinical effects that are not possible with standard continuous DBS and that some of the best biomarkers are signals from the cerebral cortex.

View Article and Find Full Text PDF

Human motion similarity evaluation based on deep metric learning.

Sci Rep

December 2024

College of Sports, Beihua University, Jilin, 132000, China.

In order to eliminate the impact of camera viewpoint factors and human skeleton differences on the action similarity evaluation and to address the issue of human action similarity evaluation under different viewpoints, a method based on deep metric learning is proposed in this article. The method trains an automatic encoder-decoder deep neural network model by means of a homemade synthetic dataset, which maps the 2D human skeletal key point sequence samples extracted from motion videos into three potential low-dimensional dense spaces. Action feature vectors independent of camera viewpoint and human skeleton structure are extracted in the low-dimensional dense spaces, and motion similarity metrics are performed based on these features, thereby effectively eliminating the effects of camera viewpoint and human skeleton size differences on motion similarity evaluation.

View Article and Find Full Text PDF

Graph Intention Embedding Neural Network for tag-aware recommendation.

Neural Netw

December 2024

School of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China. Electronic address:

Tag-aware recommender systems leverage the vast amount of available tag records to depict user profiles and item attributes precisely. Recently, many researchers have made efforts to improve the performance of tag-aware recommender systems by using deep neural networks. However, these approaches still have two key limitations that influence their ability to achieve more satisfactory results.

View Article and Find Full Text PDF

Unlabelled: The article is devoted to the problem of the rehabilitation stage of cochlear implantation in patients with inner ear abnormalities. It provides a detailed analysis of the audiological characteristics of such patients and draws conclusions about approaches to interpreting diagnostic data and speech processors fitting.

Material And Methods: The track records of 80 patients with abnormalities of the inner ear development were retrospectively studied, of which 10 had abnormal structure of the auditory nerve.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!