Volume 20 No 9 (2022)
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In-House monitoring and measurement of respiration rate using Disposable Paper Sensor
Swagata Barik , Madhurima Chattopadhyay , Debjyoti Chowdhury
Abstract
This present work provides an easily disposable paper-based interdigitated sensor embedded inside the
mask for the detection of respiration rate continuously without direct contact with the human body. In
present COVID scenario, everyone needs to wear mask for preventing the unwanted spreading of the said
virus. But in tropical countries like India, People always complain about a suffocating situation while
wearing mask. In order to address this, we have designed a non-invasive paper sensor that can be placed
inside the mask (beneath nostril) for measuring breathing rate regularly to find out a cost-effective device
capable of monitoring breathing rate. In general, we prefer use and throw type mask, thus the proposed
paper-based sensor gives a cost-effective solution compared to the Current appliances of breathing
sensing as most of them are burdensome, bulky, inconvenient as well as exorbitant than a paper-based
respiration sensor. Essentially, these current approaches undergo through a practical limitation of
frequency and time span i.e. static measurement. It is known that the humidity level of a paper changes
according to the moisture content. Thus, it can easily detect the inhalation and exhalation through this
changing. Moreover, variation of moisture level that happens due to breathing cycle changes the ionic
conductivity of the sensor. The interdigitated design is the most suited for achieving higher sensitivity
and easy to fabricate. First, we have designed it in Finite Element Method (FEM) based platform and
finally this design is implemented with graphite-based electrodes on cellulose paper. Microcontroller
based electronic circuitry is used in order to monitor and record the real-time respiration rate. It has
been observed that the breathing rate as well as pattern gives a significant variation along with physical
conditions and obstructive pulmonary diseases.
Keywords
Paper Sensor; Interdigitated electrodes; FEM based software; Ionic Conductivity; Respiration rate;
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