References
- Afzal, A. 2020. Molecular diagnostic technologies for COVID-19: limitations and challenges. Journal of Advanced Research 26: 149–159.
- Baselt, D. R., Lee, G. U., Natesan, M. S., Metzger, W., Sheehan, P. E. and Colton, R. J. 1998. A biosensor based on magnetoresistance technology. Biosensors and Bioelectronics 13(7): 731–739.
- Blümich, B. 2016. Introduction to compact NMR: a review of methods. TrAC Trends in Analytical Chemistry 83: 2–11, available at: https://doi.org/10.1016/j.trac.2015.12.012.
- Calabrese, B., Velázquez, R., Del-Valle-Soto, C., de Fazio, R., Giannoccaro, N. I. and Visconti, P. 2020. Solar-powered deep learning-based recognition system of daily used objects and human faces for assistance of the visually impaired. Energies 13(22): 1–30, available at: https://doi.org/10.3390/en13226104.
- Chamola, V., Hassija, V., Gupta, V. and Guizani, M. 2020. A comprehensive review of the covid-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact. IEEE Access 8: 90225–90265, available at: https://doi.org/10.1109/ACCESS.2020.2992341.
- Charibaldi, N., Harjoko, A., Azhari, A. and Hisyam, B. 2018. A new HGA-FLVQ model for Mycobacterium tuberculosis detection. International Journal on Smart Sensing and Intelligent Systems 11(1): 1–13, available at: https://doi.org/10.21307/ijssis-2018-028.
- Chin, S. F., Lim, L. S., Pang, S. C., Sum, M. S. H. and Perera, D. 2017. Carbon nanoparticle modified screen printed carbon electrode as a disposable electrochemical immunosensor strip for the detection of Japanese encephalitis virus. Microchimica Acta 184: 491–497, available at: https://doi.org/10.1007/s00604-016-2029-7.
- Choi, J., Gani, A. W., Bechstein, D. J. B., Lee,, J., Utz, P. J. and Wang, S. X. 2016. Portable, one-step, and rapid GMR biosensor platform with smartphone interface. Biosensors and Bioelectronics 85: 1–7, available at: https://doi.org/10.1016/j.bios.2016.04.046.
- de Fazio, R., Cafagna, D., Marcuccio, G., Minerba, A. and Visconti, P. 2020. A multi-source harvesting system applied to sensor-based smart garments for monitoring workers’ bio-physical parameters in harsh environments. Energies 13: 1–33, available at: https://doi.org/10.3390/en13092161.
- Dezeen. 2019. “Guardian G-Volt masks use graphene and electrical charge to repel viruses”, [Online] available at: https://www.dezeen.com/2020/03/06/guardian-g-volt-face-mask-graphene-coronavirus-bacteria/ (Accessed December 21, 2020).
- Esfahani Monfared, Y. 2020. Overview of recent advances in the design of plasmonic fiber-optic biosensors. Biosensors 10: 77, available at: https://doi.org/10.3390/bios10070077.
- Fei, H., Yu, W. and Hongyi, W. 2006. Mobile telemedicine sensor networks with low-energy data query and network lifetime considerations. IEEE Transactions on Mobile Computing 5: 404–417, available at: https://doi.org/10.1109/TMC.2006.1599408.
- Gaetani, F., de Fazio, R., Zappatore, G. A. and Visconti, P. 2020. A prosthetic limb managed by sensors-based electronic system: experimental results on amputees. Bulletin of Electrical Engineering and Informatics 9(2): 514–524, available at: https://doi.org/10.11591/eei.v9i2.2101.
- Gaetani, F., Primiceri, P., Zappatore, G. A. and Visconti, P. 2019. Hardware design and software development of a motion control and driving system for transradial prosthesis based on a wireless myoelectric armband. IET Science, Measurement Technology 13(3): 354–362, available at: https://doi.org/10.1049/iet-smt.2018.5108.
- Grancharov, S. G., Zeng, H., Sun, S., Wang, S. X., O’Brien, S., Murray, C., Kirtley, J. and Held, G. 2005. Bio-functionalization of monodisperse magnetic nanoparticles and their use as biomolecular labels in a magnetic tunnel junction based sensor. Journal of Physical Chemistry B 109(26): 13030–13035, available at: https://doi: 10.1021/jp051098c.
- Hajian, R., Balderstone, S., Tran, T., deBoer, T., Etienne, J., Sandhu, M., Wauford, N. A., Chung, J., Nokes, J., Athaiya, M., Paredes, J., Peytavi, R., Goldmsmith, B., Murthy, N., Conboy, I. M. and Aran, K. 2019. Detection of unamplified target genes via CRISPR–Cas9 immobilized on a graphene field-effect transistor. Nature Biomedical Engineering 3: 427–437, available at: https://doi:10.1038/s41551-019-0371-x.
- Hale, W., Rossetto, G., Greenhalgh, R., Finch, G. and Utz, M. 2018. High-resolution nuclear magnetic resonance spectroscopy in microfluidic droplets. Lab on a Chip 18(19): 3018–3024, available at: https://doi.org/10.1039/C8LC00712H.
- Han, T., Zhang, L., Pirbhulal, S., Wu, W. and Albuquerque, V. 2019. A novel cluster head selection technique for edge-computing based IoMT systems. Computer Networks 158: 114–122, available at: https://doi.org/10.1016/j.comnet.2019.04.021.
- Hernández, S. and Sallis, P. 2020. Robust single target tracking using determinantal point process observations. International Journal on Smart Sensing and Intelligent Systems 13(1), available at: https://doi.org/10.21307/ijssis-2020-001.
- Hitconsultant. 2019. “Draganfly Inc. Products- Smart Pandemic Drone”, [Online], available at: https://hitconsultant.net/2020/03/27/pandemic-drone-could-detect-virus-symptoms-like-covid-19-in-crowds/#.X9cyIVVKjIX (Accessed February 21, 2019).
- Jatmiko, W., Anwar Ma’sum, M., Arief Wisesa, H. and Rolis Sanabila, H. 2019. Developing smart Tele-ECG system for early detection and monitoring heart diseases based on ECG signal: progress and challenges. International Journal on Smart Sensing and Intelligent Systems 12(1): 1–12, available at: https://doi.org/10.21307/ijssis-2019-009.
- Jeyaprakash, T. and Mukesh, R. 2015. An optimized node selection routing protocol for vehicular ad-hoc networks – a hybrid model. Journal of Communications Software and Systems 11(2): 80–85, available at: https://doi.org/10.24138/jcomss.v11i2.106.
- Jung, I. Y., You, J. B., Choi, B. R., Kim, J. S., Lee, H. K., Jang, B., Jeong, S. H., Lee, K., Im, S. G. and Lee, H. 2016. A highly sensitive molecular detection platform for robust and facile diagnosis of Middle East Respiratory Syndrome (MERS) corona virus. Advanced Healthcare Materials 5(17): 2168–2173, available at: https://doi.org/10.1002/adhm.201600334.
- Jung, Y. 2020. A review of privacy-preserving human and human activity recognition. International Journal on Smart Sensing and Intelligent Systems 13(1): 1–13, available at: https://doi.org/10.21307/ijssis-2020-008.
- Kumar, A., Purohit, B., Maurya, P. K., Pandey, L. M. and Chandra, P. 2019. Engineered nanomaterial assisted signal-amplification strategies for enhancing analytical performance of electrochemical biosensors. Electroanalysis 31: 1615–1629, available at: https://doi.org/10.1002/elan.201900216.
- Lassoued, H., Ketata, R. and Yacoub, S. 2018. ECG decision support system based on feedforward neural networks. International Journal on Smart Sensing and Intelligent Systems 11(1): 1–13, available at: https://doi.org/10.21307/ijssis-2018-029.
- Lay-Ekuakille, A., Visconti, P., de Fazio, R. and Veneziano, D. 2019. Quasi-real time acquisition and processing for biomedical IR and conventional imaging in surgery applications. Journal of Instrumentation 14(P03011): 1–8, available at: https://doi.org/10.1088/1748-0221/14/03/P03011.
- Lei, K. M., Mak, P. I., Law, M. K. and Martins, R. P. 2015. A palm-size μ舂NMR relaxometer using a digital microfluidic device and a semiconductor transceiver for chemical/biological diagnosis. Analyst 140: 5129–5137, available at: https://doi.org/10.1039/C5AN00500K.
- Li, J., Han, D., Zeng, J., et al. 2020. Multi-channel surface plasmon resonance biosensor using prism-based wavelength interrogation. Optics Express 28: 14007–14017, available at: https://doi.org/10.1364/OE.389226.
- Li, M., Cushing, S. K. and Wu, N. 2015. Plasmon-enhanced optical sensors: a review. Analyst 140: 386–406, available at: https://doi.org/10.1039/c4an01079e.
- Liu, Y., Liu, Q., Chen, S., Cheng, F., Wang, H. and Peng, W. 2015. Surface plasmon resonance biosensor based on smart phone platforms. Scientific Reports 5: 12864, available at: https://doi.org/10.1038/srep12864.
- Maghded, H., Ghafoor, K., Sadiq, A. S., Curran, K., Rawat, D. B. and Rabie, K. 2020. A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study 2020 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), Las Vegas, NV, August, pp. 180–187, available at: https://doi.org/10.1109/IRI49571.2020.00033.
- Mahari, S., Roberts, A., Shahdeo, D. and Gandhi, S. 2020. eCovSens-Ultrasensitive Novel In-house built printed circuit board based electrochemical device for rapid detection of nCovid-19 antigen, a spike protein domain 1 of SARS-CoV-2. BioRxiv 1(1): 1–20, available at: https://doi.org/10.1101/2020.04.24.059204.
- Mauriz, E. 2020. Recent progress in plasmonic biosensing schemes for virus detection. Sensors 20(17): 1–27, available at: https://doi.org/10.3390/s20174745.
- Mbuthia, K., Dai, J., Zavrakas, S. and Yan, J. 2018. Patient-centric healthcare data processing using streams and asynchronous technology. International Journal on Smart Sensing and Intelligent Systems 11(1): 1–18, available at: https://doi.org/10.21307/ijssis-2018-003.
- Menon, S., Mathew, M. R., Sam, S., Keerthi, K. and Girish Kumar, K. 2020. Recent advances and challenges in electrochemical biosensors for emerging and re-emerging infectious diseases. Journal of Electroanalytical Chemistry 878: 1–14, available at: https://doi.org/10.1016/j.jelechem.2020.114596.
- Mohammed, M. N., Hazairin, N. A., Syamsudin, H. and Al-Zubaidi, S. 2020. 2019 Novel Coronavirus Disease (Covid-19): detection and diagnosis system using IoT based smart glasses. International Journal of Advanced Science and Technology 29(7): 954–960.
- Moitra, P., Alafeef, M., Dighe, K., Frieman, M. B. and Pan, D. 2020. Selective naked-eye detection of SARS-CoV-2 mediated by N gene targeted antisense oligonucleotide capped plasmonic nanoparticles. ACS Nano 14(6): 7617–7627, available at: https://doi.org/10.1021/acsnano.0c03822.
- Nasajpour, M., Pouriyeh, M., Parizi, S., Dorodchi, R. M., M., Valero, M. and Arabnia, H. R. 2020. Internet of things for current COVID-19 and future pandemics: an exploratory study. Journal of Healthcare Informatics Research 4: 325–364, available at: https://doi.org/10.1007/s41666-020-00080-6.
- Orlov, A. V., Znoyko, S. L., Cherkasov, V. R., Nikitin, M. P. and Nikitin, P. I. 2016. Multiplex biosensing based on highly sensitive magnetic nanolabel quantification: rapid detection of botulinum neurotoxins A, B, and E in liquids. Analytical Chemistry 88(21): 10419–10426, available at: https://doi.org/10.1021/acs.analchem.6b02066.
- Otoom, M., Otoum, N., Alzubaidi, M. A., Etoom, Y. and Banihani, R. 2020. An IoT-based framework for early identification and monitoring of COVID-19 cases. Biomedical Signal Processing and Control 62: 1–9, available at: https://doi.org/10.1016/j.bspc.2020.102149.
- Park, G. S., Ku, K., Baek, S. H., Kim, S. -J., Kim, S. I., Kim, B. -T. and Maeng, J. -S. 2020. Development of reverse transcription loop-mediated isothermal amplification assays targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The Journal of Molecular Diagnostics 22(6): 729–735, available at: https://doi.org/10.1016/j.jmoldx.2020.03.006.
- Philips. 2019. “Biosensor BX100”, [Online], available at: https://www.philips.it/healthcare/product/HC989803203011/dispositivo-di-misurazione-in-remoto-indossabile-biosensor-bx100 (Accessed February 21, 2019).
- Pietschmann, J., Vöpel, N., Spiegel, H., Krause, H. -J. and Schröper, F. 2020. Brief communication: magnetic immuno-detection of SARS-CoV-2 specific antibodies. BioRxiv 1: 1–16, available at: https://doi.org/10.1101/2020.06.02.131102.
- Pirbhulal, S., Zhang, H. E., Alahi, M. E., Ghayvat, H., Mukhopadhyay, S., Zhang, Y. -T. and Wu, W. 2017. A novel secure IoT-based smart home automation system using a wireless sensor network. Sensors 17: 1–19, available at: https://doi.org/10.3390/s17010069.
- Samson, R., Navale, G. R. and Dharne, M. S. 2020. Biosensors: frontiers in rapid detection of COVID-19. 3 Biotech 10(9): 1–9, available at: https://doi.org/10.1007/s13205-020-02369-0.
- Sarkar, D. and Banerjee, K. 2012. “Fundamental limitations of conventional-FET biosensors: Quantum-mechanical-tunneling to the rescue”, 70th Device Research Conference IEEE, University Park, PA, pp. 83–84.
- Schotter, J., Kamp, P. B., Becker, A., Pühler, A., Reiss, G. and Brückl, H. 2004. Comparison of a prototype magnetoresistive biosensor to standard fluorescent DNA detection. Biosensors and Bioelectronics 19: 1149–1156, available at: https://doi.org/10.1016/j.bios.2003.11.007.
- Seo, G., Lee, G., Kim, M. J., Baek, S. -H., Choi, M., Ku, K. B., Lee, C. -S., Parl, J. D., Kim, H. G., Kim, S. -J., Lee, J. -O., Kim, B. T., Parl, E. C. and Kim, S. I. 2020. Rapid detection of COVID-19 causative virus (SARS-CoV-2) in human nasopharyngeal swab specimens using field-effect transistor-based biosensor. ACS Nano 14: 5135–5142, available at: https://doi.org/10.1021/acsnano.0c02823.
- Singh, V., Chandna, H., Kumar, A., Kumar, S., Upadhyay, N. and Utkarsh, K. 2020. IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects. EAI Endorsed Transactions on Internet of Things 6(21): 1–9, available at: https://doi.org/10.4108/eai.13-7-2018.163997.
- Smits, J., Damrom, J. T., Kehayias, P., McDowell, A. F., Mosavian, N., Descenko, I., Ristoff, N., Laraoui, A., Jarmola, A. and Acosta, V. 2019. Two-dimensional nuclear magnetic resonance spectroscopy with a microfluidic diamond quantum sensor. Science Advances 5(7): 1–7, available at: https://doi.org/10.1126/sciadv.aaw7895.
- Snader, R., Kravets, R. and Harris, A. F. 2016. CryptoCoP: Lightweight, Energy-efficient Encryption and Privacy for Wearable Devices. In: Proceedings of the 2016 Workshop on Wearable Systems and Applications Association for Computing Machinery, New York, NY, pp. 7–12.
- South Korean Institute of Machinery and Material 2019. “Robots offer a contact-free way of getting swabbed for coronavirus” [Online], available at: https://www.standard.co.uk/tech/robots-offer-new-coronavirus-swab-technique-a4477396.html (Accessed February 21, 2019).
- Srinivasan, B., Li, Y., Jing, Y., Xu, Y., Yao, X., Xing, C. and Wang, J. -P. 2009. A detection system based on giant magnetoresistive sensors and high-moment magnetic nanoparticles demonstrates zeptomole sensitivity: potential for personalized medicine. Angewandte Chemie International Edition 48: 2764–2767, available at: https://doi.org/10.1002/anie.200806266.
- Stanford, M. G., Li, J. T., Chen, Y., McHugh, E. A., Liopo, A., Xiao, H. and Tour, J. M. 2019. “Self-sterilizing laser-induced graphene bacterial air filter”, ACS Nano 13(10): 11912–11920, available at: https://doi.org/10.1021/acsnano.9b05983.
- Stojanović, R., Škraba, A. and Lutovac, B. 2020. A Headset Like Wearable Device to Track COVID-19 Symptoms 2020 IEEE Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 1–4, doi: 10.1109/MECO49872.2020.9134211.
- Sun, S., Folarin, A., Ranjan, Y., Rashid, Z., Conde, P., Stewart, C., Matcham, N., Dalla Costa, G., Simblett, S., Leocani, L., Lamers, F., Sorensen, P. S., Buron, M., Zabalta, A., Myin-Germeys, I., Rintala, A., Wykes, T., Narayan, V. A., Comi, G., Hotopf, M. and Dobson, R. J. 2020. Using smartphones and wearable devices to monitor behavioural changes during COVID-19. Journal Med Internet Res 22(9): 1–11, available at: https://doi.org/10.2196/19992.
- Taylor, A. D., Ladd, J., Yu, Q., Shengfu, C., Jiří, H. and Shaoyi, J. 2006. Quantitative and simultaneous detection of four foodborne bacterial pathogens with a multi-channel SPR sensor. Biosensors and Bioelectronics 22: 752–758, available at: https://doi.org/10.1016/j.bios.2006.03.012.
- Triaxtec. 2019. “Proximity Trace TM: brochure” [Online], available at: https://www.triaxtec.com/social-distancing-contact-tracing/ (Accessed February 21, 2019).
- Vadlamani, B. S., Uppal, T., Verma, S. C. and Misra, M. 2020. Functionalized TiO2 nanotube-based electrochemical biosensor for rapid detection of SARS-CoV-2. Sensors 20(20): 1–10, available at: https://doi.org/10.3390/s20205871.
- Villena Gonzales, W., Mobashsher, A. T. and Abbosh, A. 2019. The progress of glucose monitoring–a review of invasive to minimally and non-invasive techniques, devices and sensors. Sensors 19: 1–45, available at: https://doi.org/10.3390/s19040800.
- Visconti, P., de Fazio, R., Costantini, P., Miccoli, S. and Cafagna, D. 2019. Arduino-based solution for in-car-abandoned infants’ controlling remotely managed by smartphone application. Journal of Communications Software and Systems 15(2): 89–100, available at: https://doi.org/10.24138/jcomss.v15i2.691.
- Visconti, P., de Fazio, R., Costantini, P., Miccoli, S. and Cafagna, D. 2020. Innovative complete solution for health safety of children unintentionally forgotten in a car: a smart Arduino-based system with user app for remote control. IET Science, Measurement Technology 14(6): 665–675, available at: https://doi.org/10.1049/iet-smt.2018.5664.
- Visconti, P., Gaetani, F., Zappatore, G. A. and Primiceri, P. 2018. Technical features and functionalities of Myo Armband: an overview on related literature and advanced applications of myoelectric armbands mainly focused on arm prostheses. International Journal on Smart Sensing and Intelligent Systems 11: 1–25, available at: https://doi.org/10.21307/ijssis-2018-005.
- Wu, K., Klein, T., Krishna, V. D., et al. 2017. Portable GMR handheld platform for the detection of Influenza A Virus. ACS Sensors 2: 1594–1601, available at: https://doi.org/10.1021/acssensors.7b00432.
- Wu, K., Saha, R., Su, D., Krishna, V. D., Liu, J., Cheeran, J. and Wang, J. 2020. Magnetic-nanosensor-based virus and pathogen detection strategies before and during COVID-19. ACS Applied Nano Materials 3(10): 9560–80.
- Yu, L., Wu, S., Hao, X., Dong, X., Mao, L., Pelechano, V., Chen, W. -H. and Yin, X. 2020. Rapid detection of COVID-19 coronavirus using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform. Clinical Chemestry 66(7): 975–977, available at: https://doi.org/10.1093/clinchem/hvaa102.
- Zhang, J., Liu, H. and Ni, L. 2020. A Secure energy-saving communication and encrypted storage model based on RC4 for EHR. IEEE Access 8: 38995–39012, available at: https://doi.org/10.1109/ACCESS.2020.2975208.
- Zhang, X., Reeves, D. B., Perreard, I. M., Kett, W., Grisworld, K. E., Gimi, B. and Weaver, J. B. 2013. Molecular sensing with magnetic nanoparticles using magnetic spectroscopy of nanoparticle Brownian motion. Biosensors and Bioelectronics 50: 441–446, available at: https://doi.org/10.1016/j.bios.2013.06.049.
- Zhao, H., Liu, F., Xie, W., Zhou, T. -C., Yang, J. O., Li, H., Zhao, C. -Y., Zhang, L., Wei, J., Zhang, Y. -P. and Li, C. -P. 2021. Ultrasensitive supersandwich-type electrochemical sensor for SARS-CoV-2 from the infected COVID-19 patients using a smartphone. Sensors and Actuators B: Chemical 327: 1–9, available at: https://doi.org/10.1016/j.snb.2020.128899.
- Zhou, P., Yang, X. L., Wang, X. G., Hu, B., Zhang, L., Zhang, W., Si, H. -R., Zhu, Y., Bei, L., Huang, C. -L., Chen, H. -L., Chen, H. -D., Chen, J., Luo, Y., Guo, H., Jiang, R., Liu, M. -Q., Shen, X., Wang, X., Zheng, X. -S., Zhao, K., Chen, Q. -J., Deng, F., Liu, L. -L., Yan, B., Zhan, F. X., Wang, Y. -Y., Xiao, G. -F. and Shi, Z. -L. 2020. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579: 270–273, available at: https://doi.org/10.1038/s41586-020-2012-7.
- Zuo, X., Fan, C. and Chen, H. -Y. 2017. Biosensing: CRISPR-powered diagnostics. Nature Biomedical Engineering 1: 91, available at: https://doi.org/10.1038/s41551-017-0091.