Wireless biosensors for POC medical applications

Redouté, Jean-Michel; Yuce, Mehmet Rasit

doi:10.1016/b978-0-08-100072-4.00007-1

Cited by 3 publications

(3 citation statements)

References 94 publications

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“…Along with the advance of wireless technology, and other technique innovation in sensor design, electronic and power management, wireless wearable biosensor sys-tems [7,8] are currently developing rapidly, which can convert a biological response into electrical measurements using electronic circuits, and allow transmiting the detected infor-mation remotely without using cables or wires, to a data acquisition platform [9]. Unlike conventional approaches, these devices enable convenient, continuous, unobtrusive and real-time monitoring and analysis [10] of signals, including chemical signals such as gas and biomolecules, thermals signals such as fever and hypothermia, electrophysiological signals such as brainwave and cardiac activities, and physical signals such as pressure, motion and, as will be shown in this paper, individual grip force data.…”

Section: Introductionmentioning

confidence: 99%

Making Sense of Complex Sensor Data Streams

Liu¹,

Dresp-Langley

2021

Electronics

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This concept paper draws from our previous research on individual grip force data collected from biosensors placed on specific anatomical locations in the dominant and non-dominant hand of operators performing a robot-assisted precision grip task for minimally invasive endoscopic surgery. The specificity of the robotic system on the one hand, and that of the 2D image-guided task performed in a real-world 3D space on the other, constrain the individual hand and finger movements during task performance in a unique way. Our previous work showed task-specific characteristics of operator expertise in terms of specific grip force profiles, which we were able to detect in thousands of highly variable individual data. This concept paper is focused on two complementary data analysis strategies that allow achieving such a goal. In contrast with other sensor data analysis strategies aimed at minimizing variance in the data, it is necessary to decipher the meaning of intra- and inter-individual variance in the sensor data on the basis of appropriate statistical analyses, as shown in the first part of this paper. Then, it is explained how the computation of individual spatio-temporal grip force profiles allows detecting expertise-specific differences between individual users. It is concluded that both analytic strategies are complementary and enable drawing meaning from thousands of biosensor data reflecting human performance measures while fully taking into account their considerable inter- and intra-individual variability.

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Section: Introductionmentioning

confidence: 99%

Making Sense of Complex Sensor Data Streams

Liu¹,

Dresp-Langley

2021

Electronics

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“…Development of wireless sensors and biosensors is intensive, and a high number of efforts are devoted to demonstrate their application as non-invasive wearables, 1 , 2 implants, 3 and highly mobile point-of-care devices. 4 Integration of wireless biosensors into the Internet of Things (IoT), together with artificial intelligence (AI) analytics and unprecedented connectivity via the 5G infrastructure, is broadly recognized as a life-changing technical evolution. 5 To adhere to this wireless monitoring evolution, biosensor developments exploit nanotechnologies for making smaller biosensor electrodes and miniaturized, chip-based potentiostats, which are then integrated with passive or active wireless communication techniques, such as Bluetooth, ZigBee, radio-frequency identification (RFID), and near-field communication (NFC).…”

mentioning

confidence: 99%

“…Development of wireless sensors and biosensors is intensive, and a high number of efforts are devoted to demonstrate their application as non-invasive wearables, , implants, and highly mobile point-of-care devices . Integration of wireless biosensors into the Internet of Things (IoT), together with artificial intelligence (AI) analytics and unprecedented connectivity via the 5G infrastructure, is broadly recognized as a life-changing technical evolution .…”

mentioning

confidence: 99%

Glucose-to-Resistor Transduction Integrated into a Radio-Frequency Antenna for Chip-less and Battery-less Wireless Sensing

et al. 2022

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To maximize the potential of 5G infrastructure in healthcare, simple integration of biosensors with wireless tag antennas would be beneficial. This work introduces novel glucose-to-resistor transduction, which enables simple, wireless biosensor design. The biosensor was realized on a near-field communication tag antenna, where a sensing bioanode generated electrical current and electroreduced a nonconducting antenna material into an excellent conductor. For this, a part of the antenna was replaced by a Ag nanoparticle layer oxidized to high-resistance AgCl. The bioanode was based on Au nanoparticle-wired glucose dehydrogenase (GDH). The exposure of the cathode-bioanode to glucose solution resulted in GDH-catalyzed oxidation of glucose at the bioanode with a concomitant reduction of AgCl to highly conducting Ag on the cathode. The AgCl-to-Ag conversion strongly affected the impedance of the antenna circuit, allowing wireless detection of glucose. Mimicking the final application, the proposed wireless biosensor was ultimately evaluated through the measurement of glucose in whole blood, showing good agreement with the values obtained with a commercially available glucometer. This work, for the first time, demonstrates that making a part of the antenna from the AgCl layer allows achieving simple, chip-less, and battery-less wireless sensing of enzyme-catalyzed reduction reaction.

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Point-of-Care Biosensors for Healthcare Applications

Daurai¹,

Gogoi²

2022

Nanobiosensors for Point-of-Care Medical Diagnostics

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Wireless biosensors for POC medical applications

Cited by 3 publications

References 94 publications

Making Sense of Complex Sensor Data Streams

Making Sense of Complex Sensor Data Streams

Glucose-to-Resistor Transduction Integrated into a Radio-Frequency Antenna for Chip-less and Battery-less Wireless Sensing

Point-of-Care Biosensors for Healthcare Applications

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