Automatic Sleep Monitoring System
for Home Healthcare
Linlin Jiang, Zunyi Tang, Zhaoqin Liu, Student Member, IEEE,
Wenxi Chen, Member, IEEE, Kei-ichiro Kitamura and Tetsu Nemoto
Proceedings of the IEEE-EMBS International Conference on Biomedical
and Health Informatics (BHI 2012)
Presenter ：Hao-Ting Yen
Advisior：Dr.Chun-Ju Hou
Date：January 2nd
Outline
 Introduction
 Requirement Analysis
 System Design And Architecture
 Implementationsand Achievements
 Discussion & Conclusions
 Reference
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Introduction(4/1)
 Sleep occupies about one-third of human
life.
 Highquality sleep is essential for human
being to recover from tiredness and to
maintain good health.
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Introduction(4/2)
 Sleep deprivation due to sleep-related
disorders :
 Hypertension
 Atherosclerosis
 Coronary artery disease
 Cognitive impairments
 Sudden death during sleep
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Introduction(4/3)
 Polysomnography (PSG):
 A traditional sleep monitoring method in
hospital.
 ECG, EOG, EMG, EEG
 Respiratory Rhyme
 Heart Rate
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Introduction(4/4)
 Polysomnography (PSG):
 Time-consuming
 Costly
 Relatively obtrusive
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Requirement Analysis

Data acquisition device





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Non-intrusive
Not experienced as uncomfortable or obtrusive
It can start and stop automatically.
Low-power consumption
Good portability
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Requirement Analysis

Sleep signals acquisition


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Data transmission and storage should be
real-time processed automatically.
Web-base information management
 Sleep data can be managed conveniently.
 Users can access various information.
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System Design And Architecture
 Data acquisition module
 Data transmission module
 Data store module
 Data analysis module
 Web-based data management module
 Terminal update module
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System Design And Architecture
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Data Acquisition Module
 Sensor board
 Piezoelectricity (PZT) element
 Respiration Rate.
 Pulse Rate
 Body Movement
 Sensitivity: 11.5 mV/Pa
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3mm acrylic boards
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Data Acquisition Module
 Environmental sensor box
 Temperture and Humidity

Digital temperature and humidity sensor (SHT-11)
 Background noise

Microphone(C9767)
 Luminance

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Photoelectriccell(NJL7502)
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Data Transmisson Module
 Real-time
 The data from different users are transmitted to
the data collection server in real-time
 Concurrency
 Multiple users can monitor and receive the data
 Expansibility
 Receive more different types of data
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Data Transmisson Module
 Bedside box
 Main MCU : H8/3068
Executes the main application program
 Auxiliary MCU : MSP430F2013
For monitoring the PZT sensor
 Ethernet controller : RTL8019AS chip
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Data Store Module
 Two classes of tables：
 Entity data tables
 Derivative data tables
 Real-time data tables
 Analysis data tables
 Database and Web servers
 CentOS 5.4（Community Enterprise Operating System）
 MySQL(Structured Query Language)
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Data Analysis Module
 Preprocessing
 Wavelet-based algorithm
 Pulse Rate
 Respiration Rate
 Moment-based algorithm
 Body Movement
 Deep-processing
 The biorhythmic cycles and sleep qualities
of users can be reported.
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Web-based
Data Management Module
 The module is composed of three
blocks：
 System management
 Basic information management
 Sleep information management.
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Web-based
Data Management Module
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Terminal Update Module
 Control hardware in bedside box to
collect sleep data
 Automatic update connecting the client
software update
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Terminal Update Module
 Terminal update server
 Vine Linux 5.2
 Apache web server
 Fire Starter firewall
 Bedside box
 μClinux operation system
 Compact Flash card
 Two 2MB DRAM
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Implementations and Achievements
 The sleep patterns of a female for one month.
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Implementations and Achievements
 The heart rates of a male for six months.
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Implementations and Achievements
 The presume menstrual cycles, biorhythm for half a
year.
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Discussion & Conclusions
 Adding a wireless way bedside box in order
to provide more flexibility to users.
 Bedside box will request a copy of the
newest terminal software,update it, and then
restart.
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Discussion & Conclusions
 The system can run smoothly and stably for
more than two years.
 The vast amount of sleep data is collected
from different users every night
 Further clinical examinations in
sleep-related disorders.
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Reffrence
[1] World Health Organization, "WHO Technical Meeting on Sleep and Health,"
Report, World Health Organization, Jan. 2004.
[2] R. Wolk, A.S. Gami, A. Garcia-Touchard, and v'K. Somers, "Sleep
and cardiovascular disease," Curr. Prohl. Cardio!., vol. 30, no. 12,
2005, pp. 625-662.
[3] J. Shin, Y. Chee, and K. Park, "Long-term sleep monitoring system
and long-term sleep parameters using unconstrained method," in BME.
IntI. Special Topic Con! on Info. Tech., oannina-Epirus, Greece, 2006.
[4] K. Watanabe, T. Tasaki, T. Nemoto, K. Yamakoshi, and W. Chen,
"Development of biometry system in the sleep by pillow cuff installed
on the occiput," Trans. Japanese Society Med. BioI. Eng., vol. 41,
Suppl. 1, pp. 168, 2003.
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Reffrence
[5] X. Zhu, W. Chen, T. Nemoto, K. Kitamura, and D. Wei, "Long
term monitoring of heart rate, respiration rhythm, and body movement
during sleep based on a network," Telemedicine and e-Health, vol. 16,
no. 2, Mar. 2010, pp. 1-10.
[6] D. C. Mack, J. T. Patrie, P. M. Surall, R. A. Felder, and M. A.
Alwan, "Development and preliminary validation of heart rate and
breathing rate detection using a passive, ballistocardiography-based
sleep monitoring system," IEEE Trans. Inf. Technol. Biomed., vol. 13,
no. 1, pp. 111-120, Jan. 2009.
[7] K. Watanabe, T. Watanabe, H. Watanabe, H. Ando, T. Ishikawa, and
K. Kobayashi, "Noninvasive measurement of heartbeat, respiration,
snoring and body movements of a subject in bed via a pneumatic
method," IEEE Trans. Biomed. Eng., vol. 52, no. 12, pp. 2100-2107,
Dec. 2005.
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Reffrence
[8] W. Chen, X. Zhu, and T. Nemoto, "A new sensory device and optimal
position for monitoring HR/RR during sleep," in Proc. World Congr.
Med. Phys. Biomed. Eng., Diagnostic and Therapeutic Instrumentation,
Clinical Engineering, Munich, Germany, Sep. 2009, pp. 126-129.
[9] Y. Chen and W. Chen, "Detection of Circaseptan Rhythm and the
"Monday Effect" from Long-term Pulse Rate Dynamics," 2011 Annual
International Conference of the IEEE Engineering in Medicine and
Biology Society, 2011, pp. 3780-3783.
[10] Y. Chen and W. Chen, "Seasonal Chaotic Features of Pulse Rate in
Healthy Subject and a Patient after Coronary Stenting," 2010 Annual
International Conference of the IEEE Engineering in Medicine and
Biology Society, 2010, pp. 2549-2552.
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Thank you for your attention
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