Skip to main content
SpringerLink
Log in

Design and implementation of wearable medical monitoring system on the internet of things

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

Abstract

The purposes are to improve the detection efficiency of medical health data and make full use of the Internet of Things technology for the rapid acquisition of human medical data. The most frequently used Android platform is adopted to design and implement a new wearable medical monitoring system with mobile phone monitoring and alarming functions. ATmega16 is the principal control chip of the system. A hardware system for the real-time monitoring of human body parameters such as pulse and body temperature is built combining pulse acquisition circuit, body temperature acquisition circuit, Bluetooth communication circuit, and power supply circuit. The monitored data are transmitted in real-time via Bluetooth communication to a dedicated Android APP for display, recording, and analysis. If the physical parameters exceed the normal range, an alarm message will be sent to the guardian via the mobile internet network. Results demonstrate that the Android platform-based wearable medical monitoring system can accurately obtain users’ detection information, record the information for later queries, transmit the information to the doctor for remote diagnosis, and provide users with more suggestions. The system has a pulse measurement error within 2BPM, a body temperature measurement error within 0.1 °C, and an alarming accuracy of 97%, which has a high application value. Therefore, the design of a wearable medical monitoring system based on the Android platform of the Internet of Things can help users understand their physical conditions in real-time and assist doctors in completing diagnosis, thereby providing more references for extracting relevant disease characteristics.

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

Similar content being viewed by others

References

  • Abdel-Basset M, Manogaran G, Gamal A et al (2019) A group decision making framework based on neutrosophic TOPSIS approach for smart medical device selection. J Med Syst 43(2):38–46

    Article  Google Scholar 

  • Al-Makhadmeh Z, Tolba A (2019) Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: a classification approach. Measurement 147:106815

    Article  Google Scholar 

  • Awolusi I, Marks E, Hallowell M (2018) Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices. Autom Constr 85:96–106

    Article  Google Scholar 

  • Bengherbia B, Zmirli MO, Toubal A, Guessoum A (2017) FPGA-based wireless sensor nodes for vibration monitoring system and fault diagnosis. Measurement 101:81–92

    Article  Google Scholar 

  • Chang CY, Hwang GJ (2018) Trends of mobile technology-enhanced medical education: a review of journal publications from 1998 to 2016. Int J Mob Learn Organ 12(4):373–393

    Article  Google Scholar 

  • Chunyu M, Chen Lina Wu, Jianjun ZJ, Xuhang F (2019) Framework for node location verification in wireless sensor networks. Comput Res Dev 56(6):1231–1243

    Google Scholar 

  • Clark JL, Pustejovsky C, Vanneste S (2017) Objective and perceptual comparisons of two bluetooth hearing aid assistive devices. Disabil Rehabil Assist Technol 12(6):614–617

    Article  Google Scholar 

  • Collotta M, Pau G, Talty T, Tonguz OK (2018) Bluetooth 5: a concrete step forward toward the IoT. IEEE Commun Mag 56(7):125–131

    Article  Google Scholar 

  • de Quadros T, Lazzaretti AE, Schneider FK (2018) A movement decomposition and machine learning-based fall detection system using wrist wearable device. IEEE Sens J 18(12):5082–5089

    Article  Google Scholar 

  • Dhingra S, Madda RB, Gandomi AH, Patan R, Daneshmand M (2019) Internet of things mobile-air pollution monitoring system (IoT-Mobair). IEEE Internet Things J 6(3):5577–5584

    Article  Google Scholar 

  • Fouad H, Mahmoud NM, El Issawi MS et al (2020) Distributed and scalable computing framework for improving request processing of wearable IoT assisted medical sensors on pervasive computing system. Comput Commun 151:257–265

    Article  Google Scholar 

  • Gao M, Wang P, Wang Y, Yao L (2017) Self-powered ZigBee wireless sensor nodes for railway condition monitoring. IEEE Trans Intell Transp Syst 19(3):900–909

    Article  Google Scholar 

  • Han G, Zhang C, Jiang J, Yang X, Guizani M (2017a) Mobile anchor nodes path planning algorithms using network-density-based clustering in wireless sensor networks. J Netw Comput Appl 85:64–75

    Article  Google Scholar 

  • Han L, Zhang Q, Chen X, Zhan Q, Yang T, Zhao Z (2017b) Detecting work-related stress with a wearable device. Comput Ind 90:42–49

    Article  Google Scholar 

  • Hardy A, Hyslop S, Booth K, Robards B, Aryal J, Gretzel U, Eccleston R (2017) Tracking tourists’ travel with mobile phone-based GPS technology: a methodological discussion. Inf Technol Tourism 17(3):255–274

    Article  Google Scholar 

  • Hayek A, Telawi S, Börcsök J et al (2019) Smart wearable system for safety-related medical iot application: case of epileptic patient working in industrial environment. Heal Technol 10(1):363–372

    Article  Google Scholar 

  • Kim K, Kim H, Kim H (2017) Image-based construction hazard avoidance system using augmented reality in wearable device. Autom Constr 83:390–403

    Article  Google Scholar 

  • Kos M, Kramberger I (2017) A wearable device and system for movement and biometric data acquisition for sports applications. IEEE Access 5:6411–6420

    Google Scholar 

  • Kumar DP, Amgoth T, Annavarapu CSR (2019) Machine learning algorithms for wireless sensor networks: a survey. Inf Fusion 49:1–25

    Article  Google Scholar 

  • Lv Z (2019) Virtual reality in the context of Internet of Things. Neural Comput Appl 2:1–10

    Google Scholar 

  • Malaquias RF, de Oliveira MFF, Hwang Y (2017) The role of information and communication technology for development in Brazil. Inf Technol Dev 23(1):179–193

    Article  Google Scholar 

  • Moshi MR, Tooher R, Merlin T (2020) Development of a health technology assessment module for evaluating mobile medical applications. Int J Technol Assess Health Care. https://doi.org/10.1017/S0266462320000288

    Article  Google Scholar 

  • Ning J, Yingda L (2019) Construction of personalized health supervision platform based on smart wearable devices. Comput Sci (s1): 566–570

  • Olasupo TO, Otero CE, Otero LD, Olasupo KO, Kostanic I (2017) Path loss models for low-power, low-data rate sensor nodes for smart car parking systems. IEEE Trans Intell Transp Syst 19(6):1774–1783

    Article  Google Scholar 

  • Pierce CE, Bouri K, Pamer C, Proestel S, Rodriguez HW, Van Le H, Freifeld CC, Brownstein JS, Walderhaug M, Ralph Edwards I, Dasgupta N (2017) Evaluation of Facebook and Twitter monitoring to detect safety signals for medical products: an analysis of recent FDA safety alerts. Drug Saf 40(4):317–331

    Article  Google Scholar 

  • Qiang L, Li Tong Yu, Yang CZ, Tongqing Z (2018) Overview of data security and privacy protection technology for wearable devices. Comput Res Dev 55(1):14–29

    Google Scholar 

  • Schorr SB, Okamura AM (2017) Three-dimensional skin deformation as force substitution: wearable device design and performance during haptic exploration of virtual environments. IEEE Trans Haptics 10(3):418–430

    Article  Google Scholar 

  • Sciarrone A, Bisio I, Garibotto C et al (2020) Leveraging IoT wearable technology towards early diagnosis of neurological diseases. IEEE J Sel Areas Commun pp 254–263

  • Tang Q, Yeh MH, Liu G, Li S, Chen J, Bai Y, Feng L, Lai M, Ho KC, Guo H, Hu C (2018) Whirligig-inspired triboelectric nanogenerator with ultrahigh specific output as reliable portable instant power supply for personal health monitoring devices. Nano Energy 47:74–80

    Article  Google Scholar 

  • Wang TT, Li JM, Zhu CR et al (2016) Assessment of utilization and cost-effectiveness of telemedicine program in western regions of China: a 12-year study of 249 hospitals across 112 cities. Telemed e-Health 22(11):909–920

    Article  Google Scholar 

  • Wang D, Li D, Zhao M, Xu Y, Wei Q (2018) Multifunctional wearable smart device based on conductive reduced graphene oxide/polyester fabric. Appl Surf Sci 454:218–226

    Article  Google Scholar 

  • Wen X (2020) Using deep learning approach and IoT architecture to build the intelligent music recommendation system. Soft Comput pp 365–373

  • Xiao G, He J, Chen X, Qiao Y, Wang F, Xia Q, Yu L, Lu Z (2019) A wearable, cotton thread/paper-based microfluidic device coupled with mobile phone for sweat glucose sensing. Cellulose 26(7):4553–4562

    Article  Google Scholar 

  • Yaqing T, Zhengfeng Z, Ming Li, Junping T, Yunyong Z (2018) A method and application of heart rate detection for photoelectric wearable devices. J Instrum 9:48–54

    Google Scholar 

  • Yeh KH (2018) A secure transaction scheme with certificateless cryptographic primitives for IoT-based mobile payments. IEEE Syst J 12(2):2027–2038

    Article  Google Scholar 

  • Yong B, Xu Z, Wang X, Cheng L, Li X, Wu X, Zhou Q (2018) IoT-based intelligent fitness system. J Parallel Distrib Comput 118:14–21

    Article  Google Scholar 

  • Zhai Y, Gao J, Chen B et al (2020) Design and application of a telemedicine system jointly driven by videoconferencing and data exchange: practical experience from Henan Province, China. Telemed e-Health 26(1):87–98

    Article  Google Scholar 

  • Zhang X, Kou W, Eric I, Chang C, Gao H, Fan Y, Xu Y (2018) Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device. Comput Biol Med 103:71–81

    Article  Google Scholar 

  • Zhu C, Leung VC, Rodrigues JJ, Shu L, Wang L, Zhou H (2018) Social sensor cloud: framework, greenness, issues, and outlook. IEEE Network 32(5):100–105

    Article  Google Scholar 

Download references

Acknowledgements

This project was supported by Natural Science Foundation Project of CQ CSTC, China (cstc2017jcyjAX0092); the Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN201801601). This was also supported by ‘future school (infant education)’ of National Center For Schooling Development Programme of China (Grant No CSDP18FC2202); The Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No KJQN201801606).

Author information

Authors and Affiliations

  1. School of Mathematics and Information Engineering, Chongqing University of Education, Chongqing, 400065, China

    Zhi Li, Lifeng Lian, Junfang Pei & Yuanjun She

Authors
  1. Zhi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lifeng Lian
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Junfang Pei
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuanjun She
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhi Li.

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

Li, Z., Lian, L., Pei, J. et al. Design and implementation of wearable medical monitoring system on the internet of things. J Ambient Intell Human Comput (2021). https://doi.org/10.1007/s12652-021-03257-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12652-021-03257-y

Keywords

Search

Navigation