1. U-Healthcare
Monitoring
and Reporting
Using
Smartphone
U-헬스 케어 모니터링 과 보고 사용
스마트 폰
IEEK FALL CONFERENCE 2013
Rajeev Piyare & Seong Ro Lee
Department of Electronics
Mokpo National University

2. Outline
▪ Motivation
▪ Problem
▪ Implementation Overview
▪ Data Aggregation Process
▪ ECG Processing Algorithms
▪ Mobile Application
▪ Conclusion

3. Motivation
▪ Chronic diseases are recognized as the leading cause of mortality in the World. According to
statistics [1], among the top 10 leading causes of death in 2009 in South Korea, eight are chronic
diseases, as shown in Table 1.
[1]. Statistics Korea. Causes of Death Statistics in 2009. Available online: http://www.kostat.go.kr

4. Lack of Quality Healthcare Systems In Developing
Countries
▪ Shortage of medical professionals and hospitals
▪ Patients must travel long distances to gain access to healthcare
▪ Patients fail to receive continuous care
▪ Communication issues often arise between the doctor and patients

5. Rise of Mobile Phones In Underprivileged Regions
▪ 2.2 billion mobile phones in the developing world in contrast to the 11
million hospital beds
▪ Mobile phone technology has cheaper, more powerful, and more
accessible
▪ Mobile network coverage is becoming more widespread
Source: Vodafone Foundation

6. Adoption of Smart phones for Healthcare Applications
▪ Smart phones can assist health professionals when diagnosing,
treating, or monitoring a patient
▪ Minimize patient traveling for health services
▪ Storage and exchange of patient information
▪ Avoid confusion or miscommunication between doctors and patients

7. Introduction
Continuous Monitoring
Certain illnesses/sectors of
population
 NEED of Wireless Telemedicine
 SOLUTION: M-health
Quality of life1)
Mobility2)
Traditional wired sensors

8. Implementation Overview - Wireless Health
Monitoring System
SPO2
ECG
GPS
InternetInternet
Medical premises
Wifi
2. CENTRAL
CONTROL SYSTEM
Intelligent Node (IN)
(Smart Phone)
Pulse-oximeter
GPS
3. CONTROL and MONITORING UNITS
GPRS/
UMTS
1. PATIENT BODY AREA NETWORK
ECG Belt
Internet
Smart phone in charge of collecting
the signals from wireless sensors
and sending them through an hybrid
(GPRS/UMTS/Wifi) system. It also
detects medical alarms (emission of
SMS) and enables remote
programming of sensors
Software for the remote
control and monitoring of the
BAN. Also portable to a smart
phone
In charge of storing biosignals and enabling
remote monitoring from any Internet node

9. Parameters Monitored
▪ ECG for heart monitoring
▪ Pulse and Oxygen in Blood (SPO2)
▪ Body Temperature
▪ Galvanic Skin Response (GSR)
▪ Airflow (Breathing)
▪ Patient Position (Acc)
▪ Blood Pressure
Figure 3: U-Healthcare Monitoring Sensors

10. Data Aggregation Process- ECG
▪ To obtain the ECG sensory data accurately from the ECG device, the communication
between the sensor nodes and the ECG device is of primary importance.
Figure 4. Communication between the sensor node and the ECG device.

11. Data Extraction and Manipulation Process
Figure 5. Data manipulation process
Figure 6. Schematic representation of normal ECG

12. ECG Processing
▪ To perform precise ECG data analysis on a resource-limited mobile phone at real
time, an accurate and simple technique is required instead of complicated
techniques which involve more processing memory.
▪ QRS detection algorithm by Tompkins [2] is adopted for the detection of the QRS
peak in the ECG waveform.
▪ Information such as QRS interval time, QT interval time and RR interval time can be
obtained from the detection of QRS peaks.
▪ This information is useful for pathophysiological indications of ECG. As an example, a
shortened QT interval indicates hypercalcemia where as a prolonged QT interval
indicates hypocalcemia.
[2] Pan, J.; Tompkins, W. A real time QRS detection algorithm. IEEE Trans. Biomed. Eng. 1985, 32, 230-236.

13. QRS detection and Beat Classification
Figure 7. Overview of the algorithm for heartbeat detection and classification.

14. Android Mobile Application
Figure 8. Android App Screenshots

15. Comparison with Previous Work
Project Name Tracked Parameters Communication Tech
KNOWME [2012] Activity Bluetooth
Rofouei et al [2011] Sleep IEEE 802.15.4
MEDISN [2010] ECG, HR, SPO2 IEEE 802.15.4
HealthGear [2006] Microsoft HR, SPO2 Bluetooth
MyHeart [2006] ECG, HR Bluetooth
Fensli et al. [2005] ECG RF at 869.7 MHZ
AMON [2004] Bpr, ECG, HR, SPO2 Cellular Network (GSM)
This Work ECG, HR, SPO2, BPr, GSR,
Airflow, Body Temperature,
Position/Posture
Bluetooth, GSM
Table 2: Comparison of Selected WHMS

16. Conclusion
▪ Android™ based ubiquitous healthcare system is able to monitor ECG vital signs in
real time.
▪ Other health parameters such as blood pressure, blood oxygen level and body
temperature are also included in this system, to provide more health information
and a more precise monitoring scheme.
▪ An alarm system has also be included in the system to activate an alarm sound
sending warning messages wirelessly to a doctor’s mobile phone when an event
occurs.
▪ Using GPS capability, the location of the patient is easily tracked if rescue is
needed.