A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring

Fang, Zhongyuan; Gao, Fei; Jin, Haoran; Liu, Siyu; Wang, Wensong; Zhang, Ruochong; Zheng, Zesheng; Xiao, Xuan; Tang, Kai; Lou, Liheng; Tang, Kea-Tiong; Chen, Jie; Zheng, Yuanjin

doi:10.1109/tbcas.2022.3226290

Cited by 16 publications

(5 citation statements)

References 212 publications

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“…For example, changes in breathing patterns can indicate conditions like sleep apnea, asthma, or heart failure [ 20 ]. Acoustic sensors can capture these changes, providing valuable data for remote health monitoring [ 21 ]. Compared to other sensors, thermal and acoustic sensors offer high sensitivity, accuracy, flexibility, and stretchability [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics

Rodríguez-Cobo,

Reyes-Gonzalez,

Algorri

et al. 2023

Sensors

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This work involves exploring non-invasive sensor technologies for data collection and preprocessing, specifically focusing on novel thermal calibration methods and assessing low-cost infrared radiation sensors for facial temperature analysis. Additionally, it investigates innovative approaches to analyzing acoustic signals for quantifying coughing episodes. The research integrates diverse data capture technologies to analyze them collectively, considering their temporal evolution and physical attributes, aiming to extract statistically significant relationships among various variables for valuable insights. The study delineates two distinct aspects: cough detection employing a microphone and a neural network, and thermal sensors employing a calibration curve to refine their output values, reducing errors within a specified temperature range. Regarding control units, the initial implementation with an ESP32 transitioned to a Raspberry Pi model 3B+ due to neural network integration issues. A comprehensive testing is conducted for both fever and cough detection, ensuring robustness and accuracy in each scenario. The subsequent work involves practical experimentation and interoperability tests, validating the proof of concept for each system component. Furthermore, this work assesses the technical specifications of the prototype developed in the preceding tasks. Real-time testing is performed for each symptom to evaluate the system’s effectiveness. This research contributes to the advancement of non-invasive sensor technologies, with implications for healthcare applications such as remote health monitoring and early disease detection.

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Section: Discussionmentioning

confidence: 99%

Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics

Rodríguez-Cobo,

Reyes-Gonzalez,

Algorri

et al. 2023

Sensors

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“…EMA-based sensing devices have been demonstrated in various healthcare scenarios, 250 including the diagnosis and monitoring of malaria. Malaria is a severe infectious human disease, which is caused by Plasmodium parasites that infect mosquitoes in tropical regions.…”

Section: Electromagnetic–acoustic (Ema) Based Sensing Devices Towards...mentioning

confidence: 99%

Bionanotechnology and bioMEMS (BNM): state-of-the-art applications, opportunities, and challenges

Borenstein,

Cummins,

Dutta

et al. 2023

Lab Chip

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“…131 Broadband picosecond pulses are also critical for mm-wave and THz radar platforms. [132][133][134][135][136]…”

Section: Thz Phased Arrays Beyond F Maxmentioning

confidence: 99%

“…Moreover, with programmability, manipulating the time evolution of the generated picosecond THz pulses digitally allows spectral control, which are critical for imaging and spectroscopic applications 131 . Broadband picosecond pulses are also critical for mm‐wave and THz radar platforms 132–136 …”

Section: Thz Signal Sources With Power Combiningmentioning

confidence: 99%

Review of recent progress on solid‐state millimeter‐wave and terahertz signal sources

Shan

Liang

Li³

et al. 2023

Circuit Theory & Apps

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SummaryThe research and development on solid‐state source generators have been making progress on chip, aiming to generate low noise, high output power, and high DC‐to‐RF energy efficiency in the millimeter‐wave (mmW) and terahertz (THz) domains. In particular, their full integration in silicon technologies, such as advanced complementary‐metal‐oxide‐semiconductor processes, has motivated the design of low cost, high performance, and miniature integrated circuits (ICs). This manuscript focuses on providing a general overview of recent progress on solid‐state signal source operating beyond 60 GHz till the THz region, from the perspective of operating principle, design metrics, state‐of‐the‐art performance, testing results, and their applications in emerging mmW/THz systems. Finally, with the use of fully integrated source generators, several design arts are highlighted to showcase the recent advances of ICs toward millimeter‐wave and THz radiation, imaging, coupled oscillator network (CON), and communication. Potential future research directions enabled by mmW/THz signal sources will be envisioned.

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A Review of Emerging Electromagnetic-Acoustic Sensing Techniques for Healthcare Monitoring

Cited by 16 publications

References 212 publications

Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics

Non-Contact Thermal and Acoustic Sensors with Embedded Artificial Intelligence for Point-of-Care Diagnostics

Bionanotechnology and bioMEMS (BNM): state-of-the-art applications, opportunities, and challenges

Review of recent progress on solid‐state millimeter‐wave and terahertz signal sources

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