Skip to main content
SpringerLink
Log in

A novel approach for IoT based wearable health monitoring and messaging system

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

A smart, non-invasive wearable physiological parameters monitoring device has been developed and reported in this paper. The proposed system monitors body temperature, heart rate and is able to detect fall of a human subject. The devise houses several sensors to measure vital parameters of an individual. A user interface platform on an android-based mobile phone has also been developed to keep track of the human health through a wireless network from anywhere in the world. The device detects whether a person is medically distressed and automatically sends a text message to his/her caregiver or to the concerned doctor for proper attention along with his/her location. The implemented heart rate sensor avoids the use of discrete components as compared to traditional photo-plethysmography (PPG) circuit. The proposed digital filter directly filtered the signal of TCRT1000 which is processed inside the programming board to increase the accuracy of heart rate measurement and to minimize the power consumption. The device is battery powered and can be easily adapted to monitor athletes, infants and old aged people. Finally, the overall heath credential is updated online on the developed Fusion table, which can be accessed via email.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  • ADXL335 (2018) Analog devices, small, low power, 3-Axis ± 3 g accelerometer. ADXL335 Data Sheet Rev B. https://www.mouser.in/new/Analog-Devices/adi-memsaccelerometers/?gclid=CjwKCAjw2MTbBRASEiwAdYIpsXPZMGU4ftKu3pIYOHeyRpcyRCSA1yLobML6gX3xpMX6UYkN5dya1hoCvT8QAvD_BwE. Accessed on 10 Aug 2018

  • Alam MR, Reaz BI, Mohd Ali MA (2012) A review of smart homes—past, present, and future. IEEE Trans Syst Man Cybern Part C Appl Rev 42(6):1190–1203

    Article  Google Scholar 

  • Alian A, Shelley KH (2014) Photoplethysmography. Best Pract Res Clin Anaesthesiol 28(4): 395–406

    Article  Google Scholar 

  • Arduino SA (2015) Arduino. Arduino LLC document. http://www.wecl.com.hk/distribution/catalogs/058-31-0328.pdf. Accessed on 10 Aug 2018

  • Azimi I, Rahmani AM, Liljeberg P, Tenhunen H (2018) Internet of things for remote elderly monitoring: a study from user-centered perspective. J Ambient Intell Hum Comput 8(2):273–289

    Article  Google Scholar 

  • Castillejo P, Martinez JF, Rodriguez-Molina J, Cuerva A (2013) Integration of wearable devices in a wireless sensor network for an E-health application. IEEE Wireless Commun 20(4):38–49

    Article  Google Scholar 

  • Chen BR, Patel S, Buckley T, Rednic R, McClure DJ, Shih L, Tarsy D, Welsh M, Bonato P (2011) A web-based system for home monitoring of patients with Parkinson’s disease using wearable sensors. IEEE Trans Biomed Eng 58(3):831–836

    Article  Google Scholar 

  • Fenza G, Furno D, Loia V (2012) Hybrid approach for context-aware service discovery in healthcare domain. J Comput Syst Sci 78(4):1232–1247

    Article  MathSciNet  Google Scholar 

  • Freitas R, Terroso M, Marques M, Gabriel J, Marques AT, Ricardo S (2014) Wearable sensor networks supported by mobile devices for fall detection. In: proceedings of IEEE conference sensors, pp 2246–2249

  • Haider M, Tayeb L, Magoni D (2018) Adaptive monitoring system for e-health smart homes. Pervasive Mob Comput 43: 1–19

    Article  Google Scholar 

  • HC-05-Bluetooth, ITead, Studio (2010) HC-05-bluetooth to serial port module. http://www.electronicaestudio.com/docs/istd016A.pdf

  • Khanna A, Misra P (2014) The internet of things for medical devices–prospects, challenges and the way forward. Life Science-TCS Design Services

  • Kikhia B, Stavropoulos TG, Meditskos G, Kompatsiaris I, Hallberg J, Sävenstedt S, Melander C (2018) Utilizing ambient and wearable sensors to monitor sleep and stress for people with BPSD in nursing homes. J Ambient Intell Hum Comput 9(2):261–273

    Article  Google Scholar 

  • Lenhardt R, Sessler DI (2006) Estimation of mean-body temperature from mean-skin and core temperature. Anesthesiology 105(6):1117–1121

    Article  Google Scholar 

  • LM324, Texas Instrument (2015) Quadruple operational amplifiers datasheet. March 2015

  • LM35, Texas Instruments (1999) Precision centigrade temperature sensors, LM35 datasheet. Texas Instrument LM324 (2015), Quadruple Operational Amplifiers Datasheet Revised

  • Malhi K, Mukhopadhyay SC, Schnepper J, Haefke M, Ewald H (2012) A zigbee-based wearable physiological parameters monitoring system. IEEE Sens J 12(3):423–430

    Article  Google Scholar 

  • MIT App Inventor document (2018) http://appinventor.mit.edu/explore/about-us.html. Acessed on 10 Aug 2018

  • Mukhopadhyay SC (2015) Wearable sensors for human activity monitoring: a review. IEEE Sens J 15(3):1321–1330

    Article  MATH  Google Scholar 

  • Mukhopadhyay SC, Islam T (2017) Wearable sensors; applications, design and implementation. IOP Publishing, Bristol

    Google Scholar 

  • Mukhopadhyay SC, Suryadevara NK (2014) Internet of things: challenges and opportunities. Springer, New York

    Book  Google Scholar 

  • Pantelopoulos A, Bourbakis NG (2010) A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans Syst Man Cybern Part C Appl Rev 40(1):1–12

    Article  Google Scholar 

  • Reisner A et al (2008) Utility of the photoplethysmogram in circulatory monitoring. J Am Soc Anesthesiol 108(5):950–958

    Article  Google Scholar 

  • Shelley K, Shelley S (2001) Pulse oximeter waveform: photoelectric plethysmography. In: Carol L, Hines R, Blitt C (eds), Clinical monitoring, WB Saunders Company, Newberg, pp 420–428

    Google Scholar 

  • Sklar B (2009) Digital communication fundamentals and applications, 4th edn. Pearson Education, London

    MATH  Google Scholar 

  • Tambe SB, Gajre SS (2018) Cluster-based real-time analysis of mobile healthcare application for prediction of physiological data. J Ambient Intell Hum Comput 9(2):429–445

    Article  Google Scholar 

  • TCRT1000, Vishay Semiconductor (2012) Data sheet. http://www.vishay.com. Accessed on 10 Aug 2018

  • Thapliyal H, Khalus V, Labrado C (2017) Stress detection and management: a survey of wearable smart health devices. IEEE Consum Electron Mag 6(40):64–69

    Article  Google Scholar 

  • Valera JA, Jara M, Zamora A, Antonio FGS (2010) An architecture based on internet of things to support mobility and security in medical environments. In: IEEE proceedings of the conference on consumer communications and networking conference (CCNC)

  • World Health Organization (2011) World report on disability document. http://www.who.int/disabilities/world_report/2011/report/en/. Accessed on 10 Aug 2018

  • Xiaomi, Activity Tracker MI Band 2 (2018) XMSH04HM document. https://www.mi.com/en/miband2/. Accessed on 10 Aug 2018

Download references

Author information

Authors and Affiliations

  1. Electrical Engineering Department, Tezpur University, Sonitpur, Assam, India

    Md Rahat Mahboob

  2. Central University of Haryana, Mahendragarh, Haryana, India

    Munish Manas

  3. ECE Department, Tezpur University, Sonitpur, Assam, India

    Aniruddha Sinha & Shubham Sharma

Authors
  1. Munish Manas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Aniruddha Sinha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shubham Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Md Rahat Mahboob
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Md Rahat Mahboob.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Manas, M., Sinha, A., Sharma, S. et al. A novel approach for IoT based wearable health monitoring and messaging system. J Ambient Intell Human Comput 10, 2817–2828 (2019). https://doi.org/10.1007/s12652-018-1101-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-018-1101-z

Keywords

Search

Navigation