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Wearable Antennas for Human Physiological Signal Measurements

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 35))

Abstract

Healthcare is a very important aspect in human life, but it should not be considered to be important for few people only. The population in the elder age group has substantially increased worldwide. Today most of the sick and elderly people are living alone at home, due to the high cost in consistent monitoring of health and expensive healthcare facilities at hospitals/nursing homes. To overcome this hurdle and bring health care to the aid of a common man too, a latest technology to monitor health via Remote health monitoring through telehealth application is implemented to monitor elders and new born babies. Remote health care monitoring system is made possible through wearable antenna. Modern communication and information technologies offers capable and cost effective solution that allows elders and the sick to be under un interrupted monitoring and still continue to live in their homes instead of expensive nursing home/hospital care. These Wearable antennas are fabricated by Nonwoven Conductive Fabrics (NWCFs) technology and used for measuring physiological signals (ECG, EMG, HR, BP, EDA, and RR) from human body. The wearable antenna transmits data through the 5G technology. The 5G technology supports sub-6 GHz frequency band and its range is 3.3–4.4 GHz. The NWCFs based wearable antennas are low cost, washable, without fraying problem and comfortable to the users. To highlight the suitability of the latest fabrication technique and to emphasize its benefits the proposed antenna is simulated to get the desired results.

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Acknowledgment

The authors wish to acknowledge DST-FIST supporting facilities available in the department of Electronics and Communication Engineering at Valliammai Engineering College, Chennai, Tamil Nadu, India.

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Correspondence to M. Vanitha .

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Vanitha, M., Ramesh, S. (2020). Wearable Antennas for Human Physiological Signal Measurements. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_146

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