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Miniaturized Liquid Metal-based Flexible Electrochemical Detection System on Fabric


Researchers from Beihang University (Beijing), Zhejiang University, and Tsinghua University. Abstract "Integrated electrochemical sensing platforms in wearable devices have great prospects in biomedical applications. However, traditional electrochemical platforms are generally fabricated on airtight printed circuit boards, which lack sufficient flexibility, air permeability, and conformab...» read more

Label-Free C-Reactive Protein Si Nanowire FET Sensor Arrays With Super-Nernstian Back-Gate Operation


Abstract: "We present a CMOS-compatible double gate and label-free C-reactive protein (CRP) sensor, based on silicon on insulator (SOI) silicon nanowires arrays. We exploit a reference subtracted detection method and a super-Nernstian internal amplification given by the double gate structure. We overcome the Debye screening of charged CRP proteins in solutions using antibodies fragments as c...» read more

Power/Performance Bits: Jan. 10


Muscle-tracking clothing Researchers from the University of Utah and Gyeongsang National University developed a low-cost bioelectrical sensor that can be integrated into clothing. The sensor measures electromyography (EMG) signals that are generated in muscles when they contract. EMG signals are useful for studying muscle fatigue and recovery and could potentially be used to inform diagnosi...» read more

Neuromorphic electronics based on copying and pasting the brain


Abstract: "Reverse engineering the brain by mimicking the structure and function of neuronal networks on a silicon integrated circuit was the original goal of neuromorphic engineering, but remains a distant prospect. The focus of neuromorphic engineering has thus been relaxed from rigorous brain mimicry to designs inspired by qualitative features of the brain, including event-driven sign...» read more

System Bits: July 3


Machine learning network for personalized autism therapy MIT Media Lab researchers have developed a personalized deep learning network for therapy use with children with autism spectrum conditions. They reminded these children often have trouble recognizing the emotional states of people around them, such as distinguishing a happy face from a fearful face. To help with this, some therapists...» read more

Where MEMS Can Boldly Go Now


MEMS chips are being designed to go into the human body as biosensors, which will require unique packaging. And as demand grows for assisted and automated driving, MEMS devices also are finding new use cases in automotive electronics, their chief market segment prior to the millennium. Pressure sensors, such as those that monitor the air pressure in tires, remain the biggest type of [getkc i...» read more

Medical IoT Heats Up


Ever since the IoT was first introduced as a concept, the possibility of using ordinary devices or chips for monitoring health has been mostly an unfulfilled promise. In fact, one of the biggest selling points of smart watches and other wearables initially was the ability to monitor everything from heart irregularities to sugar levels on a continuous basis rather than a once-a-year electroca...» read more

The Economics Of Moore’s Law


By Marc Heyns I’m very optimistic about the continuation of Moore’s Law. But in saying that, I’m speaking about Moore’s Law purely as an economic law. I believe we’ll be able to offer increasing amounts of functionality at lower and lower costs. And technological innovations as well as advances in design and application will be crucial in realizing this. But I don’t believe a ne...» read more

Power/Performance Bits: April 15


Smaller is not always better While Moore’s Law-esque shrinking has allowed for economies of scale in many industries, when it comes to nanomedicine, however, smaller is not always better, according to researchers at UCLA. They have determined that the diminutive size of nanowire-based biosensors -- that healthcare workers use to detect proteins that mark the onset of heart failure, cancer an...» read more

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