Artificial Somatosensors: Feedback Receptors for Electronic Skins

Rahman, Md. Ataur; Walia, Sumeet; Naznee, Sumaiya; Taha, Muhammad; Nirantar, Shruti; Rahman, F. H.; Bhaskaran, Madhu; Sriram, Sharath

doi:10.1002/aisy.202070106

Cited by 4 publications

(3 citation statements)

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“…proposed to use the memristor and thermoreceptor to mimic the thermoreceptor. [ 213 ] They connected the VO 2 resistor and memristor in series. Initially, the VO 2 resistor and memristor are in high resistance.…”

Section: Application For Physiological Signals Processingmentioning

confidence: 99%

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Integrated Memristor Network for Physiological Signal Processing

Cai

Yue

et al. 2023

Adv Elect Materials

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Humans are complex organisms made by millions of physiological systems. Therefore, physiological activities can represent physical or mental states of the human body. Physiological signal processing is essential in monitoring human physiological features. For example, non‐invasive electroencephalography (EEG) signals can be used to reconstruct brain consciousness and detect eye movements for identity verification. However, physiological signal processing requires high resolution, high sensitivity, fast responses, and low power consumption, hindering practical hardware design for physiological signal processing. The bionic capability of memristor devices is very promising in the context of building physiological signal processing hardware and they have demonstrated a handful of advantages over the traditional Von Neumann architecture system in accelerating neural networks. Memristor networks can be integrated as a hardware system for physiological signal processing that can deliver higher energy efficiency and lower latency compared to traditional implementations. This review paper first introduces memristor characteristics, followed by a comprehensive literature study of memristor‐based networks. Physiology signal processing applications enabled by these integrated memristor networks are also presented in this review. In summary, this paper aims to provide a new perspective on physiological signal processing using integrated memristor networks.

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Section: Application For Physiological Signals Processingmentioning

confidence: 99%

“…When the appropriate temperature (70 °C in ref. [213]) is applied to the VO 2 resistor, the resistance of the VO 2 resistor will decrease by four orders of magnitude. Moreover, thus, the partial voltage on the memristor surpasses the SET threshold and triggers the memristor to transfer to LRS.…”

Section: Application For Physiological Signals Processingmentioning

confidence: 99%

Integrated Memristor Network for Physiological Signal Processing

Cai

Yue

et al. 2023

Adv Elect Materials

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“…Park et al have made great efforts in bioinspired skin electronic sensors which allow people with disabilities to touch the world with the help of haptic sensors ( Park et al, 2018 ). Researchers at RMIT University in Australia ( Rahman et al, 2020 ) have developed a new electronic skin by combining three technologies previously pioneered and patented by the team: stretchable electronics, self-modifying coatings, and electronic memory cells. The resulting skin can be used to improve prosthetic interfaces, increase grip accuracy and enhance the ability to identify the source of injury, allowing the prostheses to act like human skin.…”

Section: Application Of Bioinspired Skinmentioning

confidence: 99%

Bioinspired skin towards next-generation rehabilitation medicine

Wang

Chen

Roy

et al. 2023

Front. Bioeng. Biotechnol.

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The rapid progress of interdisciplinary researches from materials science, biotechnologies, biomedical engineering, and medicine, have resulted in the emerging of bioinspired skins for various fantasticating applications. Bioinspired skin is highly promising in the application of rehabilitation medicine owing to their advantages, including personalization, excellent biocompatibility, multi-functionality, easy maintainability and wearability, and mass production. Therefore, this review presents the recent progress of bioinspired skin towards next-generation rehabilitation medicine. The classification is first briefly introduced. Then, various applications of bioinspired skins in the field of rehabilitation medicine at home and abroad are discussed in detail. Last, we provide the challenges we are facing now, and propose the next research directions.

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