Internet-of-Things-Based Sensor Module for Respiratory Tracking System

Bhola, B; Kumar, R; Priyadarshini, I; So-In, C; Padhy, T; Slowik, A; Gandomi, AH

Internet-of-Things-Based Sensor Module for Respiratory Tracking System

Bhola, B Kumar, R Priyadarshini, I So-In, C Padhy, T Slowik, A Gandomi, AH

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2023, 23, (16), pp. 18664-18674
Issue Date:: 2023-08-15

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Field	Value	Language
dc.contributor.author	Bhola, B
dc.contributor.author	Kumar, R
dc.contributor.author	Priyadarshini, I
dc.contributor.author	So-In, C
dc.contributor.author	Padhy, T
dc.contributor.author	Slowik, A
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2024-04-29T02:02:50Z
dc.date.available	2024-04-29T02:02:50Z
dc.date.issued	2023-08-15
dc.identifier.citation	IEEE Sensors Journal, 2023, 23, (16), pp. 18664-18674
dc.identifier.issn	1530-437X
dc.identifier.issn	1558-1748
dc.identifier.uri	http://hdl.handle.net/10453/178440
dc.description.abstract	Respiration is a necessary process for producing energy and maintaining normal bodily functioning in all living organisms. The respiratory system and breathing frequency change per the body's needs in response to different physical activities, such as running, and to emotional states such as joy and fear. Therefore, this work presents a simulation-based Internet-of-Things (IoT) sensor module using thermistors to estimate the respiration rate (RR) of a human subject and to compare the temperature at the time of breathing. The circuit diagram of the explained sensor was designed and validated using simulations with Proteus software. The results are presented in the form of graphs, comparing resistance and voltage. Specifically, the resistance varies with the temperature near the thermistor, subsequently changing the voltage, which is converted into a digital value to calculate the RR and length of respiration. The main focus of the proposed work for developing this basic circuit is to observe the breathing pattern of a person. From the breathing pattern, many physical activities can be predicted, like he is in a consciousness stage or unconsciousness stage, because every physical activity makes an impact on the breathing pattern. The obtained information can be stored and communicated across the cloud, from which the automated respiratory tracking system can manage and monitor accidental situations. In the case of an emergency, the system sends an alert so that necessary steps can be taken to help the user. Finally, we discuss some applications of the proposed module, specifically for reducing accidental deaths.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Sensors Journal
dc.relation.isbasedon	10.1109/JSEN.2023.3274585
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0205 Optical Physics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Analytical Chemistry
dc.subject.classification	40 Engineering
dc.title	Internet-of-Things-Based Sensor Module for Respiratory Tracking System
dc.type	Journal Article
utslib.citation.volume	23
utslib.for	0205 Optical Physics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2024-04-29T02:02:49Z
pubs.issue	16
pubs.publication-status	Published
pubs.volume	23
utslib.citation.issue	16

Abstract:

Respiration is a necessary process for producing energy and maintaining normal bodily functioning in all living organisms. The respiratory system and breathing frequency change per the body's needs in response to different physical activities, such as running, and to emotional states such as joy and fear. Therefore, this work presents a simulation-based Internet-of-Things (IoT) sensor module using thermistors to estimate the respiration rate (RR) of a human subject and to compare the temperature at the time of breathing. The circuit diagram of the explained sensor was designed and validated using simulations with Proteus software. The results are presented in the form of graphs, comparing resistance and voltage. Specifically, the resistance varies with the temperature near the thermistor, subsequently changing the voltage, which is converted into a digital value to calculate the RR and length of respiration. The main focus of the proposed work for developing this basic circuit is to observe the breathing pattern of a person. From the breathing pattern, many physical activities can be predicted, like he is in a consciousness stage or unconsciousness stage, because every physical activity makes an impact on the breathing pattern. The obtained information can be stored and communicated across the cloud, from which the automated respiratory tracking system can manage and monitor accidental situations. In the case of an emergency, the system sends an alert so that necessary steps can be taken to help the user. Finally, we discuss some applications of the proposed module, specifically for reducing accidental deaths.

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http://hdl.handle.net/10453/178440