Device discovery and tracing in the Bluetooth Low Energy domain

Locatelli, Pierluigi; Perri, Massimo; Gutierrez, Daniel Mauricio Jimenez; Lacava, Andrea; Cuomo, Francesca

doi:10.1016/j.comcom.2023.02.008

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Advanced miniaturized electronics can be incorporated into the device design, facilitating signal processing, amplification, and transmission to external data acquisition systems . The development of low-power, wireless communication protocols, such as bluetooth low energy (BLE) or near-field communication (NFC), allows for the seamless transmission of data to smartphones, wearable devices, or medical monitoring systems, providing healthcare providers with continuous, remote access to patient information. − …”

Section: Design Considerations For 3d-printed Implantable Microelectr...mentioning

confidence: 99%

Use of 3D Printing Techniques to Fabricate Implantable Microelectrodes for Electrochemical Detection of Biomarkers in the Early Diagnosis of Cardiovascular and Neurodegenerative Diseases

Zilinskaite,

Shukla,

Baradoke

2023

ACS Meas. Sci. Au

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This Review provides a comprehensive overview of 3D printing techniques to fabricate implantable microelectrodes for the electrochemical detection of biomarkers in the early diagnosis of cardiovascular and neurodegenerative diseases. Early diagnosis of these diseases is crucial to improving patient outcomes and reducing healthcare systems' burden. Biomarkers serve as measurable indicators of these diseases, and implantable microelectrodes offer a promising tool for their electrochemical detection. Here, we discuss various 3D printing techniques, including stereolithography (SLA), digital light processing (DLP), fused deposition modeling (FDM), selective laser sintering (SLS), and two-photon polymerization (2PP), highlighting their advantages and limitations in microelectrode fabrication. We also explore the materials used in constructing implantable microelectrodes, emphasizing their biocompatibility and biodegradation properties. The principles of electrochemical detection and the types of sensors utilized are examined, with a focus on their applications in detecting biomarkers for cardiovascular and neurodegenerative diseases. Finally, we address the current challenges and future perspectives in the field of 3D-printed implantable microelectrodes, emphasizing their potential for improving early diagnosis and personalized treatment strategies.

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Section: Design Considerations For 3d-printed Implantable Microelectr...mentioning

confidence: 99%

Use of 3D Printing Techniques to Fabricate Implantable Microelectrodes for Electrochemical Detection of Biomarkers in the Early Diagnosis of Cardiovascular and Neurodegenerative Diseases

Zilinskaite,

Shukla,

Baradoke

2023

ACS Meas. Sci. Au

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“…Many BLE devices such as mobile devices enabling Find My [1], lost prevention or tracking tags [2], smartphone applications [3], broadcast BLE advertising packets periodically. By observing MAC addresses of BLE advertising packets, device tracking can be accomplished [4,5]. For example, by installing multiple monitoring devices within a facility and observing BLE advertising packets, it is possible to know how mobile devices move within the facility.…”

Section: Introductionmentioning

confidence: 99%

A device identification method from BLE advertising packets with randomized MAC addresses based on regression of received signal strength

Akiyama,

Taniguchi

2024

IEICE Commun. Express

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In this letter, we propose a device identification method from observed Bluetooth Low Energy (BLE) advertising packets for tracking BLE devices even if their MAC addresses are changed periodically and randomly. In our proposed method, the combination of MAC addresses is formulated as a linear assignment problem. In addition, in a cost function of linear assignment, we combine two types of cost: time-based cost and received signal strength-based cost, which is calculated based on regression of received signal strength. Through experimental evaluations, we confirmed that the accuracy of our proposed method is the highest compared to traditional methods.

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A Novel Approach for Bluetooth Mesh Network Detection using Machine Learning and Correlation Analysis

Penmatsa,

Kethinedi

et al. 2024

Procedia Computer Science

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Device discovery and tracing in the Bluetooth Low Energy domain

Cited by 5 publications

References 15 publications

Use of 3D Printing Techniques to Fabricate Implantable Microelectrodes for Electrochemical Detection of Biomarkers in the Early Diagnosis of Cardiovascular and Neurodegenerative Diseases

Use of 3D Printing Techniques to Fabricate Implantable Microelectrodes for Electrochemical Detection of Biomarkers in the Early Diagnosis of Cardiovascular and Neurodegenerative Diseases

A device identification method from BLE advertising packets with randomized MAC addresses based on regression of received signal strength

A Novel Approach for Bluetooth Mesh Network Detection using Machine Learning and Correlation Analysis

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