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Arduino based wireless tracking of Sleep Apnea through monitoring of
Health parameters
Dibyendu Mandal
1
, Sandip Bag
2
, Swati Sikdar
1
, Rupankar Ghoshal
3
, Sujaya Das
3
, Udbhasita Pal
3
1
Assistant Professor, Department of Biomedical Engineering, JIS College of Engineering, Kalyani, India
2
Professor, Department of Biomedical Engineering, JIS College of Engineering, Kalyani, India
3
Student, Department of Biomedical Engineering, JIS College of Engineering, Kalyani, India
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Abstract - When breathing repeatedly stops and
resumes while slumber, it is referred as sleep apnea.
Untreated conditions lead to vigorous snoring during sleep
followed with tiredness and can be fatal in future untreated
conditions. Obstructive sleep apnea (OSA) is characterized
by recurring bouts of partial or total upper airway
obstruction brought on by the pharyngeal airway
narrowing or collapsing while a person is still trying to
breathe. This decrease in airflow, which lasts for at least 10
seconds, causes a drop in blood oxygen saturation and
cortical arousals. The long-term effects of Obstructive Sleep
Apnea (OSA) eventually lead to heart failure, hypertension,
arrhythmia, and cerebrovascular damage. The
polysomnography (PSG) nightly sleep study, which is the
standard diagnostic method for OSA, is a laborious and
time-consuming practice that exacerbates the patient's
suffering. Since the introduction of computer-aided
diagnosis (CAD), researchers studying sleep disorders have
become increasingly interested in the automatic detection
of OSA since it affects both therapeutic and diagnostic
choices. The present work thrives to develop a wireless
system for tracking the various health parameters which
fluctuate during apnea connected through the cellular
phone module. The device has been tested and various data
has been recorded on which clinical remarks can be
analyzed for various data sets implemented on different
age groups. It has been noticed that people of age 40 years
or higher shows a higher chances of developing sleep
apnea. The data alteration in Heart rate, saturation of
partial pressure of dissolved oxygen in blood (SpO2) and
the snoring intensity marks the footprint of Apnea
condition in the patient.
Key Words: Obstructive Sleep Apnea, Arduino, Heart
Rate, SpO2, ECG
1. INTRODUCTION
Obstructive sleep apnea (OSA)-related sleep disorders
depend on unique disruptions of the upper respiratory
system's normal function and are associated to primary
hypersomnia, interrupted sleep, and sleep deficiency.
Among the most typical sleep disturbances, OSA is
characterised by recurrent episodes of partial or full
cessation of breathing while asleep. According to the
literature, it affects 17% of women and 34% of men in the
adult population. The primary symptoms develop with
behavioural changes that eventually result in breathing
pattern changes, sleeplessness, and may even cause
narcolepsy [1]. Depending on the patient's
pathophysiology, the length of the involuntary and
nocturnal respiratory halt can range from 20 to 40
seconds, but can also be as little as 10 seconds
(hypopnea), 2 minutes (apnea), or longer.
Disproportionate fat depositions in the muscles of the
pharynx tend to narrow the upper airway and are
responsible for apneic episodes in OSA patients. The
blood oxygen saturation typically falls during the apnea-
hypopnea episodes, which then sets off the autonomic
neural response and causes micro-arousals with
nocturnal gasping for air. 90% of OSA sufferers say they
have restless and erratic sleep, weariness, and a lack of
vitality. The preponderance of OSA patients are currently
underdiagnosed because a bigger percentage of them are
asymptomatic. Repeated apnea-hypopnea episodes cause
primary events like intermittent hypoxemia, micro
arousals, and increased intrathoracic pressure. These
primary events then start a cascade of interconnected
processes that contribute to the developmental causes of
secondary disease manifestations and disease end points,
as shown in Figure 1. The main cause of metabolic
dysfunction and high blood pressure in OSA patients is
sympathetic nervous system (SNS) activation. Sleep
apnea is a serious medical condition that can lead to
complications such as daytime weariness, diabetes,
kidney and liver difficulties, and cardiac issues [2, 3].
The underlying genetic propensity for the disease and
intricate interactions between anatomical,
neuromuscular, and other variables make up the
multifactorial pathophysiology of OSA. Menopause in
women, middle age, obesity, snoring, and a number of
craniofacial and oropharyngeal characteristics, such as a
large neck circumference, retro- or micrognazia, nasal
blockage, enlarged tonsils and adenoids, macroglossia,
and low-lying soft palate, are risk factors of OSA [5]. The
disorder is now better understood and addressed, owing
to developments in sleep medicine and the availability of
improved diagnostic techniques over the past 20 years.
There are numerous therapy options currently accessible,
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 03 | Mar 2023 www.irjet.net p-ISSN: 2395-0072