Body Dust: Well Beyond Wearable and Implantable Sensors

Carrara, Sandro

doi:10.1109/jsen.2020.3029432

Cited by 30 publications

(21 citation statements)

References 74 publications

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“…Distributed wireless networks of micro-scale implantable devices have been proposed as way to overcome these constraints [207]. In this approach, freefloating and battery-free devices, called 'motes' or 'grains' or 'nodes', are wireless powered and communicate neural data to a central hub placed outside of the body [208,209]. Various modalities, including EM, ultrasound [50,142], photovoltaic [33,63] and magnetoelectric [210] methods, have been explored to implement the wireless interface with the central hub.…”

Section: (A) Distributed Networkmentioning

confidence: 99%

Wireless interfaces for brain neurotechnologies

Kim

2022

Phil. Trans. R. Soc. A.

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Wireless interfaces enable brain-implanted devices to remotely interact with the external world. They are critical components in modern research and clinical neurotechnologies and play a central role in determining their overall size, lifetime and functionality. Wireless interfaces use a wide range of modalities—including radio-frequency fields, acoustic waves and light—to transfer energy and data to and from an implanted device. These forms of energy interact with living tissue through distinct mechanisms and therefore lead to systems with vastly different form factors, operating characteristics, and safety considerations. This paper reviews recent advances in the development of wireless interfaces for brain neurotechnologies. We summarize the requirements that state-of-the-art brain-implanted devices impose on the wireless interface, and discuss the working principles and applications of wireless interfaces based on each modality. We also investigate challenges associated with wireless brain neurotechnologies and discuss emerging solutions permitted by recent developments in electrical engineering and materials science. This article is part of the theme issue 'Advanced neurotechnologies: translating innovation for health and well-being'.

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Section: (A) Distributed Networkmentioning

confidence: 99%

Wireless interfaces for brain neurotechnologies

Kim

2022

Phil. Trans. R. Soc. A.

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“…An example application with extreme requirements are floating autonomous neural sensors, where ultrasound, infrared, and RF have all been pursued (Yang et al, 2020). Micro and nanoscale sensors have tremendous opportunity to realize "body dust" for biological monitoring that extends beyond wearable and implantable devices (Carrara, 2020). Asset monitoring and surveillance provides the ability to operate and maintain machines and infrastructure, track items, assess possible failure modes before they occur, and to ensure safety.…”

Section: Power Handling Storage and Application Specificationsmentioning

confidence: 99%

Energy Harvesting in Nanosystems: Powering the Next Generation of the Internet of Things

Phillips

2021

Front. Nanotechnol.

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Untethered, wirelessly interconnected devices are becoming pervasive in today’s society forming the Internet of Things. These autonomous devices and systems continue to scale to reduced dimensions at the millimeter scale and below, presenting major challenges to how we provide power to these devices. This article surveys existing approaches to harvest energy from the ambient or externally supplied sources including radio-frequency, optical, mechanical, thermal, nuclear, chemical, and biological modalities to provide electrical power for micro- and nano-systems. The outlook for scaling these energy conversion approaches to small dimensions is discussed in the context of both existing technologies and possible future nanoscience developments.

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“…Next-generation biosensing, which envisions drinkable, autonomous bio-electronic circuits with dimensions suitable to be internalized into the human body to sense and transmit clinical pieces of information (Body Dust) [1], [2], as illustrated in Fig. I, poses many critical challenges to integrated circuit (IC) designers.…”

Section: Introductionmentioning

confidence: 99%

Low-Voltage, Low-Area, nW-Power CMOS Digital-Based Biosignal Amplifier

et al. 2022

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This paper presents the operation principle and the silicon characterization of a power efficient ultralow voltage and ultra-low area fully-differential, digital-based Operational Transconductance Amplifier (OTA), suitable for microscale biosensing applications (BioDIGOTA). Measured results in 180nm CMOS prototypes show that the proposed BioDIGOTA is able to work with a supply voltage down to 400 mV, consuming only 95 nW. Owing to its intrinsically highly-digital feature, the BioDIGOTA layout occupies only 0.022 mm 2 of total silicon area, lowering the area by 3.22X times compared to the current state of the art, while keeping reasonable system performance, such as 7.6 NEF with 1.25 µV RMS input referred noise over a 10 Hz bandwidth, 1.8% of THD, 62 dB of CMRR and 55 dB of PSRR. INDEX TERMSUltra-Low Voltage (ULV) CMOS, Ultra-Low Power (ULP), Operational Transconductance Amplifier (OTA), Digital-Based Circuit, Internet of Things (IoT)

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Body Dust: Well Beyond Wearable and Implantable Sensors

Cited by 30 publications

References 74 publications

Wireless interfaces for brain neurotechnologies

Wireless interfaces for brain neurotechnologies

Energy Harvesting in Nanosystems: Powering the Next Generation of the Internet of Things

Low-Voltage, Low-Area, nW-Power CMOS Digital-Based Biosignal Amplifier

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