Low power sensor design for IoT and mobile healthcare applications

Chen, Xican; Rhee, Woogeun; Wang, Zhihua

doi:10.1109/cc.2015.7112043

Cited by 35 publications

(12 citation statements)

References 17 publications

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“…Xican et al provide low-power sensor designs for IoT and mobile healthcare applications [ 215 ]. Gatouillat et al describe the development and evaluation of an ECG-based cardiorespiratory IoT sensor [ 216 ]. Medu et al describe low-power memory technology for sensors related to IoT-based wearables and portable medical devices [ 217 ].…”

Section: Nano-biosensors For Cancer Detection and Future Prospectimentioning

confidence: 99%

Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors

Banerjee

Maity

Mastrangelo

2021

Sensors

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Biosensors are essential tools which have been traditionally used to monitor environmental pollution and detect the presence of toxic elements and biohazardous bacteria or virus in organic matter and biomolecules for clinical diagnostics. In the last couple of decades, the scientific community has witnessed their widespread application in the fields of military, health care, industrial process control, environmental monitoring, food-quality control, and microbiology. Biosensor technology has greatly evolved from in vitro studies based on the biosensing ability of organic beings to the highly sophisticated world of nanofabrication-enabled miniaturized biosensors. The incorporation of nanotechnology in the vast field of biosensing has led to the development of novel sensors and sensing mechanisms, as well as an increase in the sensitivity and performance of the existing biosensors. Additionally, the nanoscale dimension further assists the development of sensors for rapid and simple detection in vivo as well as the ability to probe single biomolecules and obtain critical information for their detection and analysis. However, the major drawbacks of this include, but are not limited to, potential toxicities associated with the unavoidable release of nanoparticles into the environment, miniaturization-induced unreliability, lack of automation, and difficulty of integrating the nanostructured-based biosensors, as well as unreliable transduction signals from these devices. Although the field of biosensors is vast, we intend to explore various nanotechnology-enabled biosensors as part of this review article and provide a brief description of their fundamental working principles and potential applications. The article aims to provide the reader a holistic overview of different nanostructures which have been used for biosensing purposes along with some specific applications in the field of cancer detection and the Internet of things (IoT), as well as a brief overview of machine-learning-based biosensing.

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Section: Nano-biosensors For Cancer Detection and Future Prospectimentioning

confidence: 99%

Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors

Banerjee

Maity

Mastrangelo

2021

Sensors

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“…Beach et al presented an ultra-low-power ECG monitor integrated with the SPHERE IoT platform [241]. Xican et al provide low-power sensor designs for IoT and mobile healthcare applications [242]. Gatouillat et al describe the development and evaluation of an ECG based cardiorespiratory IoT sensor [243].…”

Section: Low-power Sensors For Internet Of Thingsmentioning

confidence: 99%

Nanotechnology for Biosensors: A Review

Banerjee

Maity²,

Mastrangelo³

2021

Preprint

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Biosensors are essential tools which have been traditionally used to monitor environmental pollution, detect the presence of toxic elements and biohazardous bacteria or virus in organic matter and biomolecules for clinical diagnostics. In the last couple of decades, the scientific community has witnessed their widespread application in the fields of military, health care, industrial process control, environmental monitoring, food-quality control, and microbiology. Biosensor technology has greatly evolved from the in vitro studies based on the biosensing ability of organic beings to the highly sophisticated world of nanofabrication enabled miniaturized biosensors. The incorporation of nanotechnology in the vast field of biosensing has led to the development of novel sensors and sensing mechanisms, as well as an increase in the sensitivity and performance of the existing biosensors. Additionally, the nanoscale dimension further assists the development of sensors for rapid and simple detection in vivo as well as the ability to probe single-biomolecules and obtain critical information for their detection and analysis. However, the major drawbacks of this include, but are not limited to potential toxicities associated with the unavoidable release of nanoparticles into the environment, miniaturization induced unreliability, lack of automation, and difficulty of integrating the nanostructured-based biosensors as well as unreliable transduction signals from these devices. Although the field of biosensors is vast, we intend to explore various nanotechnology enabled biosensors as part of this review article and provide a brief description of their fundamental working principles and potential applications.

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“…Modern days Bio Sensors are single chip Integrated circuits designed to give the various parameters like subject's heart-rate, blood pressure, blood sugar level [10]. In this work we have proposed a cypress semiconductor PSoC4 BLE based prototyping board.…”

Section: 2iot-rthms System Designmentioning

confidence: 99%

An IoT framework for Bio-medical sensor data acquisition and machine learning for early detection

Mishra¹,

Mohapatro²

2019

IJATEE

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Technology is an indispensable part of our day-today activities and major driving force behind revolutionizing every aspect of our lives by providing automated solutions and simplifying various processes. New innovations are no longer limited to providing services and solutions, rather technological advances in IoT and machine learning are making it possible for smart devices collect real time data and translate that data to understand the greater needs of the society, thus being the harbinger of artificial intelligence.

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Low power sensor design for IoT and mobile healthcare applications

Cited by 35 publications

References 17 publications

Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors

Nanostructures for Biosensing, with a Brief Overview on Cancer Detection, IoT, and the Role of Machine Learning in Smart Biosensors

Nanotechnology for Biosensors: A Review

An IoT framework for Bio-medical sensor data acquisition and machine learning for early detection

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