Advanced System For Accessing Electronic Health Records Of Patients Using Android Mobile And Sensors

DOI : 10.17577/IJERTV2IS4197

Download Full-Text PDF Cite this Publication

Text Only Version

Advanced System For Accessing Electronic Health Records Of Patients Using Android Mobile And Sensors

G. Pandikirupa1, K. Nisha2, V. Vidhya3, P. Suganthi4 B.E-Electonics and communication Engineering

Alpha College of Engineering Chennai-124,Tamilnadu,India.

ABSTRACT-A health monitoring system is developed based on the smartphone. Health information was sent to a remote healthcare server through a built-in 3G network in the smartphone. The remote server monitored multiple users in real-time. Normally data of vital signs were being transmitted to the server. In an emergency or for a special care case, additional information such as the waveform of the ECG and PCG were displayed at the server. For increased transmission efficiency, data compression and a simple error correction algorithm were implemented. Using a widespread smartphone, an efficient personal health monitoring system was developed and tested successfully for multiple users.

Keywords-Third generation (3G),Smartphone.


    TELEMEDICINE involves remote medical information exchange via electronic communications for easy access to patient electronic health records (EHR) and patient health information. Mobile-Health(mHealth) is a subset of electronic-health (eHealth) and refers to wireless portable devices capable of transmitting, storing, processing, and retrieving real-time and non-real-time data among end users (e.g., patients, doctors, and pharmacists).

    Mobile systems are currently being used to monitor, record, and relay variety of health- related data applications, such as hypertension, blood oxygen levels, blood sugar, and disease- related conditions such as: diabetes and dialysis. Other health-related activities such as weight tracking, cardiovascular monitoring, and patient location tracking are also monitored using mHealth. There are seven key capabilities that EHR systems are expected to provide: Result and order management schemes, data and health

    information, decision and patient supports, administrative processes, electronic data collection (e.g., sensing), connectivity,andend- to-end communication. The main focus of this paper is on the connectivity (i.e., link technology) part, between the sensor and the data collector (i.e., manager or Smart- phone) in a mHealth system.


    In [1],A number of emerging mobile applications that require 3G and 4G mobile networks for data transport relate to telemedicine, including establishing, maintaining, and transmitting health- related information, research, education, and training.

    In[2],The scope for increase in demand for health services seems unlimited.The scope for increase in supply is restricted.Evidence suggests that eHealth has the potential to support healthcare providers in meeting growing demand

    In[3],Electronic Health Records can be seen as a pool for various health related data, where also different types of structured data can be stored. International standards serve as a unified framework for data communication and storage. We take different types of data sources as examples: a pulse oximeter,blood pressure monitor and a simple weighing scale.

    In [4],Improving cardiac patients' medication compliance is a major factor in reducing mortality rate and reducing hospitalization rate.

    In[5], The goal is to reach a good balance among communication range, powerconsumption, data rate, and link quality

    In[6], The popularity of smartphones with their open operating systems provides a powerful platform for developing very low-cost personalized healthcare applications.

    In[7], The key for successfully deploy mobile applications is the ability to understand the specific needs of its customers

    In[8],Wireless technology is making a huge impact in telemonitoring by enabling remote patient monitoring for the healthy (preventative medicine) and for those that require management of chronic diseases.

    In[9],was to evaluate the impact of home- based telemonitoring using Internet and mobile phone technology



    Switching from traditionl health information handling to ehealth/mhealth is expected to increase performance and reduce costs associated with healthcare activities. in particular, reductions are anticipated in the following cost items:pre-and post PACS(picture archiving and communication systems), patient transfers, unnecessary and duplicate patient exams, per-patient and per-unit, and turnaround times[10] .the goal of ehealth/mhealth can be summarized as :achiving the greatest benefits in the shortest time frame, with the least risk and associated cost.this goal can be achieved through the following increaments[11]: efficiency, equity, service delivery(time reduction), patient centeredness, safety, security, effectiveness,and improved quality decision techniques.these increments should be achieve with an overall cost reduction.



    The realization of eHealth and mHealth systems and infrastructureshas its own set of challenges. First of all, not all listedbenefits can easily coexist. For example, quality of service [12] and security have traditionally been at odds, since increasing the effect of one could have potentially impacted the strength of the other. The main reason is due to the fact that implementing

    security mechanisms often leads to the added overheads, which requires an extra bandwidth to transfer the same amount of data

    compared to the case without security, thus undermining the effects of QoS provisioning [13].

    That being said, the current

    advances in wireless communication protocols, standards, and infrastructures (e.g., IEEE 802.11n and Long Term Evolution

    LTE) have made simultaneous QoS and security possible.Technical and architectural challenges however still exist, especially

    when dealing with end-to-end QoS-security coverage.Providing end-to-end security mechanisms are also challenging

    (e.g., privacy, authentication, nonrepudiation, and accesscontrol). Here, are a number of challenges with regards to therealization of eHealth and mHealth systems [14][16].

    1. Security: Identification of the weakest point in an end-to end sense.

    2. Semantic interoperability.

    3. Scalability in linking healthcare providers to end users.

    4. Unified agreements among healthcare providers.

    5. Unified eHealth/mHealth education.

    6. Anywhere and anytime availability.

    7. Management of distributed/decentralized/shared space.

    8. Multilayer management infrastructure.

    9. Ownership of medical and health data.

      Security, scalability, distributed andmultilayermanagementissues will be touched upon in this paper.


A number of medical research efforts have based onmHealth to monitor and study the deployment of sensor-based technologies in the been

patient diagnosis and treatments,including: Aged population health monitoring [18], calorie in takemonitoring [18], treating patients with diabetes [19], [20],blood-pressure monitoring, treating cardiac patients [20], [21],and blood oxygen level monitoring (i.e., pulse oximeter) [22].Telemonitoring is not only suitable and vital for patients with heart-related diseases and conditions, it is also necessary for patietswith other health problems, such as diabetes. Kollmannetal.[23] consider Type 1 diabetes patients and their interaction swith physicians via data-ready mobile phone. The objective of this study was to evaluate the patient acceptance feasibility to use mobile phones to collect, transfer, and receive healthrelateddata/instructions to assist Type 1 diabetes patients. Patients were provided with Java- based data-ready mobile phones, which were synchronized with a remote database at the MC where health-related data were stored and appropriate statistics were generated and used by the CT. The acceptance feasibility was measured through a set of questionnaires, which were givento the patients. All patients took part in the trial and 95.5% of the patients successfully completed the first trial with notable improvements in health parameters related to diabetes


Traditional Bluetooth is not considered a long-term healthrelatedlink technology because of its relatively high transmission powers and high duty cycles. However, since BT-LE is an

important candidate among low-power link technologies, its vital to consider Bluetooth in the big picture. Classical Bluetooth operates in the 2.4- GHz band using GFSK modulation with 1-Mb/s data rate and wireless ranges of 1100 m. Bluetooth v1.1 (ratified as IEEE 802.15.1-2002)was the first clean

version of Bluetooth. Bluetooth v1.2 (ratified as IEEE 802.15.1-2005) was introduced, featuring adaptive frequency-hopping spread spectrum. Bluetooth v2.0 + enhanced data rate (EDR), released in 2004, supporting 3 Mb/s of data rate and has a lower duty cycle compared to previous versions. Other versions of Bluetooth are: Bluetooth v2.1

+EDR (adopted by the Bluetooth Special Interest Group (SIG)on July 26, 2007) and Bluetooth v3.0 + high speed (adopted by the Bluetooth SIG on April 21, 2009), with a theoretical data rate of up to 24 Mb/s [17]. Newer versions of Bluetooth use differential phase-shift keying (DPSK) and QPSK in addition to GFSK. Table VII shows Bluetooths performance parameters. A new version, Bluetooth v4.0, emerged on June 12, 2007,and was called Wibree by Nokia and Bluetooth SIG, featuring

an ultra-low-power Bluetooth technology, marking the birth of BT-LE.


Switching from traditional health information handling to eHealth/mHealth is expected to increase performance and decrease costs associated with healthcare activities. The goal of eHealth/mHealth can be summarized as: Achieving the greatest benefit in the shortest timeframe, with the least risk and associated cost. This goal can be achieved through the following increments: Efficiency, equity, service delivery (time reduction), patient-centeredness, safety, security, effectiveness, and improved quality decision techniques. These increments should be achieved with an overall cost reduction.

The advantages are:

    • Remote monitoring of Elderly Peoples body conditions.

    • Automatic Emergency Alert to Care Takers and Doctors.

    • Necessary treatment can be provided to patient in time.

    • Reduces loss of life due to lack of timely treatment.

    • Health related information will be more secured.


The proposed model explains the connectivity between the sensor part and the smartphone.Future work may involve the deployment of a prototype system based on one of the sensor technologies. Power consumption and computational analysis should be carried out based on a number of use cases.


  1. Link Technologies and BlackBerry Mobile Health

    (mHealth) Solutions: A Review SasanAdibi, Senior Member, IEEE

  2. I. Reinecke, Assessing the Benefits of eHealth, presented at the eHealthVSymp., Queens, Australia, Apr. 2007.

  3. H. Burgsteiner, S. Sabutsch, A. Kollmann, and J. Morak, Communicationand integration of health related data in electronic health records using international medical standards, in Proc. eHealtp009 eHealth Benchmarking,

    May 78, 2009, pp. 229234.

  4. I. Qudah, P. Leijdekkers, and V. Gay,

    Using mobile phones to improvemedication compliance and awareness for cardiac patients, presented

    at the ACM Int. Conf. Pervasive Technol. Related to Assistive Environ.,Samos, Greece, no. 36, 2010.

  5. Wireless Connectivity for Medical Applications, Texas Instruments,[Online]. Available: s/wireless.pdf

  6. S. Chiu Kwok Lam, K. Lap Wong, K. On Wong, W. Wong, and W. Ho

    Mow, A Smartphone-centric platform for personal health monitoring usingwirelesswearablebiosensors, in Proc. 7th Int. Conf. Inform. Commun.

    Signal Process., Macau, China, 2009, pp. 192198.

  7. A. Lorenz, D. Mielke, R. Oppermann, and

    L. Zahl, Personalized mobilehealth monitoring for elderly, in Proc. 9th Int. Conf. Human Comput. Interaction Mobile Devices Serv., 2007, vol. 309, pp. 297304.

  8. R. Sharma, Low-energy wireless: Just what the doctor ordered,

    FreescaleSemicond., ECN, Oct. 2, 2009.

  9. D. Scherr, P. Kastner, A. Kollmann, A. Hallas, J. Auer, H. Krappinger,H. Schuchlenz, G. Stark,W. Grander, G. Jakl, G. Schreier, and F. M. Fruhwald,Effect of home-based telemonitoring using mobile phone technologyon the outcome of heart failure patients after an episode of acutedecompensation: Randomized controlled trial,

    J. Med. Internet Res.,vol. 11, no. 3, p. e34, 2009.

  10. A.Wong and S. Hagens, Realizing the benefits of eHealth investmentsA clinical perspective, Canada Health Infoway, May2009.Available: wnloads/Realizing the Benefits ofeHealth Investments V3.pdf.

  11. C. Pagliari, Design and evaluation in ehealth: Challenges and implicationsfor an interdisciplinary field, J. Med. Internet Res.,vol. 9, no. 2,p. e15, 2007.

  12. D. DMello and V. S. Ananthanarayana,

    Dynamic selection mechanismfor quality of service aware web services, Enterprise Inf. Syst., vol. 4,no. 1, pp. 2360, 2010.

  13. S. Adibi, An application layer non- repudiation wireless system: A crosslayerapproach, presented at the 11th IEEE Int. Symp.World ofWireless,Mobile Multimedia Netw., Montreal, QC, Canada, Jun. 1417, 2010.

  14. I. Reinecke, Assessing the Benefits of eHealth, presented at the eHealthSymp., Queens, Australia, Apr. 2007.

  15. Use Case: e-Health, The European Commission 6th Framework Programme

    Priority 2, Information Society Technologies, Specific Targeted

    Res. Project: TripCom, 2007.

  16. H. Papadopoulos,D. Pappa, and L. Gortzis,

    Legal/clinical risk assessmentguidelines in emerging m-health systems, in Proc. Medlab, 2006.

  17. Bluetooth, Wikipedia. (Dec. 27, 2011). [Online]. Available:

  1. A.Kollmann, M. Riedl, P. Kastner, G.

    Schreier, and B. Ludvik, Feasibility

    of a mobile phone-based data service for functional insulin treatment of

    Type 1 diabetes mellitus patients, J. Med. Internet Res., vol. 9, no. 5,

    p. e36, Dec. 2007.

  2. D. Scherr, P. Kastner, A. Kollmann, A. Hallas, J. Auer, H. Krappinger,

    H. Schuchlenz, G. Stark,W. Grander, G. Jakl, G. Schreier, and F. M. Fruhwald,

    Effect of home-based telemonitoring using mobile phone technology

    on the outcome of heart failure patients after an episode of acute

  3. I. Qudah, P. Leijdekkers, and V. Gay,

    Using mobile phones to improve

    medication compliance and awareness for cardiac patients, presented

    at the ACM Int. Conf. Pervasive Technol. Related to Assistive Environ.,

    Samos, Greece, no. 36, 2010.

  4. S. Chiu Kwok Lam, K. Lap Wong, K. On Wong, W. Wong, and W. Ho

Mow, A Smartphone-centric platform for personal health monitoring usingwirelesswearable

biosensors, in Proc. 7th Int. Conf. Inform. Commun. Signal Process., Macau, China, 2009, pp. 192198.

  1. C. C. Tsai, G. Lee, F. Raab, G. J. Norman,

    . Sohn, W. G. Griswold, and

    K. Patrick, Usability and feasibility of PmEB:Amobile phone application

    for monitoring real time caloric balance, Mobile Netw. Appl., vol. 12,

    no. 2/3, pp. 173184, Mar. 2007.

  2. L. Mamykina, A. D. Miller, E. D. Mynatt, and D. Greenblatt, Constructing

identities through storytelling in diabetes management, in Proc. Conf.

Human Factors Comput. Syst. Archive,Atlanta, GA, 2010, pp. 12031212.

Leave a Reply