Sleep Apnea Wearables: Solving Sleep Apnea with Technology

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This presentation addresses the problem of sleep apnea, a disorder characterized by breathing disruptions during sleep, and proposes the use of wearable technology as a solution. It outlines the problem statement, emphasizing the need for cost-effective wireless technologies for monitoring and diagnosis, particularly in geographically separated scenarios. The presentation identifies target users, including individuals with heart disease, cancer, diabetes, and depression, and presents a scenario involving a 50-year-old man experiencing symptoms of sleep apnea. It details the system requirements, such as compact battery management, multi-parameter bio-sensing, and a high-resolution display, and highlights key tasks like heart rate and oxygen saturation monitoring. The presentation also discusses the use of HSAT (Home Sleep Apnea Testing) and the SCOPER scheme for evaluating HSAT frameworks. The conclusion emphasizes the growing importance of wearable devices in addressing the increasing prevalence of sleep apnea. The assignment includes a comprehensive bibliography of relevant research papers.
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SLEEP TRACKING
WEARABLES TO
SOLVE THE
PROBLEM OF
SLEEP APNEAN A M E O F T H E S T U D E N T
N A M E O F T H E U N I V E R S I T Y
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PROBLEM DESCRIPTION:
According to U.S. department of Health & Human
services, the Sleep Apnea is a disorder that is
characterised by the disruption in taking breath like
pauses of periods of shallow breath taking at the
time of sleeping (Lin et al., 2016). This disruption
may occur so many times as well as it can last for as
a few mins typically after snoring loudly.
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PROBLEM STATEMENT:
The monitoring and diagnosis of Sleep Apnea needs cost
effective wireless technologies, specially in the areas
where the patients and doctors are separated
geographically. In every year, more than millions of people
who are affected by the Apnea is basically a pulmonary
disorder which sees the muscles of throat relaxing a little.
In return, the disease can cause many of the issues related
to memory loss, heart disease, cancer, clinical depression,
diabetes.
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TARGET USERS:
Sleep Apnea can cause many of the issues
related to memory loss, heart disease, cancer,
clinical depression, diabetes. The target users
are heart patients, cancer patients and people
who are suffering from diabetes and depression
(Liang & Ploderer, 2016).
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SCENARIO:
Mr. Bob is a 50 year old man who comes to the office
with complaints of shortness of breath. Bob has
gained ten lbs from the last six months as well as he
feels that the breathing of him is more difficult at
the time of walking up to the flight of stairs. Bob
suffers from sleep Apnea and the doctor suggested
him to take a wearable to solution. He was an
smoker and quite smoking almost ten years ago.
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REQUIREMENT OF SYSTEM:
The smart watches can be utilized in the study of home science
as they are able to detect biological signals without the
requirement of external sensors. The requirement for the
system is as follows:
Compact management of battery with ultra low standby for
longer run time (Penzel, Schöbel & Fietze, 2018).
Multi parameter bio sensing for monitoring the physical and
health activity of the user.
Vivid and a high resolution OLED display with haptic feedback.
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KEY TASKS:
The internal sensors that are available in the smart watches are
having the ability to record the pulse wave of user that an algorithm
can utilize for extracting the values of heart rate and saturation of
Oxygen. The capability of testing of HSAT (Home Sleep Apnea
Testing) are getting more specific and accurate to Sleep Apnea
(Weatherall et al., 2018). The SCOPER scheme can be helpful for
evaluating and cataegorising HSAT frameworks through validating
the important most functions to diagnose the Sleep Apnea. There
are several functions that are indicated in the acronym are as
follows:
Sleep (S)
Cardiovascular system (C)
Oxygen saturation (O)
Body position (P)
Respiratory effort (E)
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CONCLUSION:
Thus, it can be concluded that the wearable or wearable
device is basically one of the electronic devices that is
having a micro controller and it can be directly worn on
the body or even it can be incorporated in the clothing.
The devices are having internet connectivity and they
are a part of IoT (Internet of Things). The application
and development of sleep Apnea tracker is hugely due
as the prevalence of sleep Apnea is increasing.
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BIBLIOGRAPHY:
Lin, Y. Y., Wu, H. T., Hsu, C. A., Huang, P. C., Huang, Y. H., & Lo, Y. L. (2016). Sleep apnea
detection based on thoracic and abdominal movement signals of wearable piezoelectric
bands. IEEE journal of biomedical and health informatics, 21(6), 1533-1545.
Penzel, T., Schöbel, C., & Fietze, I. (2018). New technology to assess sleep apnea: wearables,
smartphones, and accessories. F1000Research, 7.
Liang, Z., & Ploderer, B. (2016, November). Sleep tracking in the real world: a qualitative
study into barriers for improving sleep. In Proceedings of the 28th Australian Conference on
Computer-Human Interaction (pp. 537-541).
Weatherall, J., Paprocki, Y., Meyer, T. M., Kudel, I., & Witt, E. A. (2018). Sleep tracking and
exercise in patients with type 2 diabetes mellitus (step-D): pilot study to determine
correlations between Fitbit data and patient-reported outcomes. JMIR mHealth and
uHealth, 6(6), e131.
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