Skip to main content
SpringerLink
Log in

Wearable Devices: Evolution and Usage in Remote Patient Monitoring System

  • Chapter
  • First Online:
Connected e-Health

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1021))

Abstract

Technology has brought a lot of changes to mankind which made even the complicated things easier. With the advancement of science and technology, machines have become intelligent and are widely used. Development has been made in various fields including healthcare, medicines and public-health. Recent advances in healthcare provides an efficient, cost-effective and intelligent way of monitoring health and other activities. Wearables play an important role in making this possible. Though these devices look small in structure but possess powerful medical sensors that helps in monitoring person’s health conditions. With the evolution of medical science and technology, the wearables have been incorporated with multiple different sensors so that they can keep track of a wide range of activities like—cardiovascular disease, blood oxygen level, body temperature measurement and activity monitoring system including many others. These devices can be connected to smart phones and also lets people to save the results for future reference. In this study, the need for using wearables in healthcare and how it can change the future of medical systems have been discussed. A case study on how wearables can help patients as well as doctors is presented. This paper also includes research challenges and future scope.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Luczak T, Burch R, Lewis E, Chander H, Ball J (2020) State-of-the-art review of athletic wearable technology: what 113 strength and conditioning coaches and athletic trainers from the USA said about technology in sports. Int J Sports Sci Coach 15(1):26–40

    Article  Google Scholar 

  2. Wu J, Li H, Cheng S, Lin Z (2016) The promising future of healthcare services: When big data analytics meets wearable technology Inform Manage 53(8):1020–1033

    Google Scholar 

  3. Oestmann G (2016) The origins and diffusion of watches in the renaissance: Germany Comune di Cremona, pp 141–143

    Google Scholar 

  4. Ray C, Kumar Tripathy H, Mishra S (2019) Assessment of autistic disorder using machine learning approach. In: International conference on intelligent computing and communication June. Springer, Singapore, pp 209–219

    Google Scholar 

  5. Cyborgs and Space, in Astronautics (September 1960), by Manfred E. Clynes and American scientist and researcher Nathan S. Kline.

    Google Scholar 

  6. Ariga K, Makita T, Ito M, Mori T, Watanabe S, Takeya J (2019) Review of advanced sensor devices employing nanoarchitectonics concepts. Beilstein J Nanotechnol 10:2014–2030

    Article  Google Scholar 

  7. Areàn PA, Ly KH, Andersson G (2016) Mobile technology for mental health assessment. Dialogues Clin Neurosci 18(2):163–169

    Article  Google Scholar 

  8. Barisone M, Bagnasco A, Timmins F, Aleo G, Sasso L (2018) Approaches to nurse education and competence development in remote telemonitoring of heart failure patients with implanted heart devices in Italy: a cause for concern. Eur J Cardiovasc Nurs 17(5):388–389

    Article  Google Scholar 

  9. Close Mann S, Fung J, Aimone C, Sehgal A, Chen D (2005) Designing eyetap digital eyeglasses for continuous lifelong capture and sharing of personal experiences

    Google Scholar 

  10. Mishra S, Panda A, Tripathy KH (2018) Implementation of re-sampling technique to handle skewed data in tumor prediction. J Adv Res Dyn Control Syst 10:526–530

    Google Scholar 

  11. Mann S (1997) Wearable computing: a first step toward personal imaging cybersquare computer. 30(2)

    Google Scholar 

  12. Thad S, Steve M, Bradley R, Jennifer H, Kenneth R, Jeffrey L, Alex P (2001) Wearable computing and augmented reality

    Google Scholar 

  13. Sidhu MS et al. (2016) Long-term conditions, self-management and systems of support: an exploration of health beliefs and practices within the Sikh community, Birmingham, UK. Ethn. Health. pp 1–17

    Google Scholar 

  14. Evers C (2015) Researching action sport with a gopro camera: an embodied and emotional mobile video tale of the Sea. Routledge, Masculinity and men-who-surf researching embodied sport, pp 145–162

    Google Scholar 

  15. Mishra S, Patel S, Panda ARR, Mishra BK (2019) Exploring IoT-enabled smart transportation system. In: The IoT and the next revolutions automating the World. IGI Global, pp 186–202

    Google Scholar 

  16. Andreu-Perez J et al (2015) From wearable sensors to smart implants-–toward pervasive and personalized healthcare. IEEE Trans Biomed Eng 62(12):2750–2762

    Article  Google Scholar 

  17. Melillo P et al (2015) Cloud-based smart health monitoring system for automatic cardiovascular and fall risk assessment in hypertensive patients. J Med Syst 39(10):1–7

    Article  Google Scholar 

  18. Lanata A et al (2015) Complexity index from a personalized wearable monitoring system for assessing remission in mental health. IEEE J Biomed Health Inform 19(1):132–139

    Article  Google Scholar 

  19. Sahoo S, Das M, Mishra S, Suman S (2021) A hybrid DTNB model for heart disorders prediction. In: Advances in electronics, communication and computing. Springer, Singapore, pp 155–163

    Google Scholar 

  20. Jena L, Mishra S, Nayak S, Ranjan P, Mishra MK (2021) Variable optimization in cervical cancer data using particle swarm optimization. In: Advances in electronics, communication and computing. Springer, Singapore, pp 147–153

    Google Scholar 

  21. Roy SN, Mishra S, Yusof SM (2021) Emergence of drug discovery in machine learning. Techn Advancem Machine Learn Healthcare 936:119

    Article  Google Scholar 

  22. Sumit M et al. (2017) Wearable sensors for remote health monitoring. Sensors (Basel, Switzerland) 17,1(130). https://doi.org/10.3390/s17010130

  23. Lemay M (2008) Data processing techniques for the characterization of atrial fibrillation January. https://doi.org/10.5075/epfl-thesis-3982

  24. Kovács P (2015) Transformation methods in signal processing May 2016. https://doi.org/10.15476/ELTE.2015.187

  25. Nemati E, Deen MJ, Mondal T (2012) A wireless wearable ECG sensor for long-term applications. IEEE Commun Mag 50:36–43. https://doi.org/10.1109/MCOM.2012.6122530

    Article  Google Scholar 

  26. Stöckel T, Jacksteit R, Behrens M, Skripitz R, Bader R, Mau-Moeller A (2015) The mental representation of the human gait in young and older adults. Front Psychol 6:943. https://doi.org/10.3389/fpsyg.2015.00943

    Article  Google Scholar 

  27. Mishra S, Tripathy HK, Panda AR (2018) An improved and adaptive attribute selection technique to optimize dengue fever prediction. Int J Eng Technol 7:480–486

    Article  Google Scholar 

  28. Hong Y, Kim I, Ahn S, Kim H (2010) Mobile health monitoring system based on activity recognition using accelerometer. Simul Model Pract Theory 18:446–455

    Article  Google Scholar 

  29. Deen MJ (2015) Information and communications technologies for elderly ubiquitous healthcare in a smart home. Pers Ubiquitous Comput. 19:573–599

    Article  Google Scholar 

  30. Pantelopoulos A, Bourbakis N (2010) A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans Syst Man Cybern C 40:1–1

    Article  Google Scholar 

  31. Tripathy HK, Mishra S, Thakkar HK, Rai D (2021) CARE: a collision-aware mobile robot navigation in grid environment using improved breadth first search. Comput Electri Eng 94:107327

    Google Scholar 

  32. Mishra S, Mahanty C, Dash S, Mishra BK (2019) Implementation of BFS-NB hybrid model in intrusion detection system. In: Recent developments in machine learning and data analytics. Springer, Singapore, pp 167–175

    Google Scholar 

  33. Nkuma-Udah KI, Ndubuka GIN, Olonoh TA (2013) Design and fabrication of a pulse oximeter. department of biomedical technology, school of health technology, Federal University of Technology, P.M.B 1562, Owerri, Imo State, Nigeria August 2013

    Google Scholar 

  34. Kalasapati BM, Thunuguntla L (2014) Pulse oximeter system. Int J Eng Res General Sci 2(5). ISSN 2091–2730

    Google Scholar 

  35. Mishra S, Tadesse Y, Dash A, Jena L, Ranjan P (2021) Thyroid disorder analysis using random forest classifier. In Intelligent and cloud computing. Springer, Singapore, pp 385–390

    Google Scholar 

  36. Subramanya K, Bhat VV, Kamath S (2013) A wearable device for monitoring galvanic skin response to accurately predict changes in blood pressure indexes and cardiovascular dynamics. In: 2013 annual IEEE india conference (INDICON), pp 1–4. https://doi.org/10.1109/INDCON.2013.6726085

  37. Villarejo MV, Zapirain BG, Zorrilla AM (2012) A stress sensor based on galvanic skin response (GSR) controlled by zigbee. Sensors 12:6075–6101. https://doi.org/10.3390/s120506075

    Article  Google Scholar 

  38. Mahima S, Sudhanshu K, Mohit S (2016) A brief introduction and review on galvanic skin response. Int J Med Res Professionals 2. https://doi.org/10.21276/ijmrp.2016.2.6.003

  39. Mishra S, Sahoo S, Mishra BK (2019) Addressing security issues and standards in Internet of things. In: Emerging trends and applications in cognitive computing. IGI Global, pp 224–257

    Google Scholar 

  40. Jagtap S, Rane S, Mulik U, Amalnerkar D (2007) Thick film NTC thermistor for wide range of temperature sensing. Microelectron Int 24(2):7–13. https://doi.org/10.1108/13565360710745539

    Article  Google Scholar 

  41. Ring EFJ (1998) Progress in the measurement of human body temperature. IEEE Eng Med Biol Magazine 17(4):19–24. https://doi.org/10.1109/51.687959

  42. González-Alonso J, Teller C, Andersen SL, Jensen FB, Hyldig T, Nielsen B (1999) Influence of body temperature on the development of fatigue during prolonged exercise in the heat. J Appl Physiol 86(3):1032–1039

    Article  Google Scholar 

  43. Ražman R, Sešek A, Tasič J, Trontelj J (2019) Blood sugar level monitoring. J Microelectron Electron Components Mater 49(4):255–260. https://doi.org/10.33180/InfMIDEM2019.407

  44. Mukherjee D, Tripathy HK, Mishra S (2021) Scope of medical bots in clinical domain. Techn Advancem Mach Learn Healthcare 936:339

    Google Scholar 

  45. Jeyanthi S, Uma Maheswari N, Venkatesh R (2012) Implementation of biometrics based security system with integrated techniques. In: Proceedings of the second international conference on computational science, engineering and information technology (CCSEIT '12). Association for Computing Machinery, New York, NY, USA, pp 37–42. https://doi.org/10.1145/2393216.2393223

  46. Saravanan S (2014) Image authentication by features extraction and biometric key. (IJCSIT) Int J Comput Sci Inform Technol 5(6):7572–7576

    Google Scholar 

  47. Sharma M (2014) Fingerprint biometric system: a survey. Int J Comput Sci Eng Technol (IJCSET) 5(07). ISSN: 2229–3345

    Google Scholar 

  48. Tolosana R, Vera-Rodriguez R, Fierrez J, Ortega-Garcia J (2018) Exploring recurrent neural networks for on-line handwritten signature biometrics. IEEE Access 6:5128–5138. https://doi.org/10.1109/ACCESS.2018.2793966

    Article  Google Scholar 

  49. Ahmed M, Tarek M, Ahmed SE (2017) A behavioral biometric authentication framework on smartphones. https://doi.org/10.1145/3052973.3055160

  50. Malasinghe LP, Ramzan N, Dahal K (2019) Remote patient monitoring: a comprehensive study. J Ambient Intell Human Comput 10:57–76. https://doi.org/10.1007/s12652-017-0598-x

    Article  Google Scholar 

  51. Liao Y, Thompson C, Peterson S, Mandrola J, Beg MS (2019) The future of wearable technologies and remote monitoring in health care. Am Soc Clin Oncol Educ Book 39:115–121. https://doi.org/10.1200/EDBK_238919 Epub 2019 May 17 PMID: 31099626

    Article  Google Scholar 

  52. Roudjane M, Khalil M, Miled A, Messaddeq Y (2018) New generation wearable antenna based on multimaterial fiber for wireless communication and real-time breath detection. Photonics 5:33. https://doi.org/10.3390/photonics5040033

    Article  Google Scholar 

  53. Abidoye A, Azeez N, Adesina A, Agbele K, Nyongesa H (2011) Using wearable sensors for remote healthcare monitoring system. J Sensor Technol 1(2):22–28. https://doi.org/10.4236/jst.2011.12004

    Article  Google Scholar 

  54. Lo B, Yang GZ (2005) Key technical challenges and current implementations of body sensor networks. http://ubimon.doc.ic.ac.uk/bsn/public/bsn-2005-Benlo.pdf

  55. Pottie GJ, Kai WJ (2000) Wireless integrated network sensors. Commun ACM 43(5):51–58. https://doi.org/10.1145/332833.332838

    Article  Google Scholar 

  56. John Dian F, Vahidnia R, Rahmati A (2020) Wearables and the internet of things (IoT), applications, opportunities, and challenges: a survey. IEEE Access 8:69200–69211. https://doi.org/10.1109/ACCESS.2020.2986329

  57. Lutz J, Memmert D, Raabe D, Dornberger R, Donath L (2020) Wearables for integrative performance and tactic analyses: opportunities, challenges, and future directions. Int J Environ Res Public Health 17:59. https://doi.org/10.3390/ijerph17010059

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    T. Sivani & Sushruta Mishra

Authors
  1. T. Sivani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sushruta Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sushruta Mishra .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Sushruta Mishra

  2. Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain

    Alfonso González-Briones

  3. KIET Group of Institutions, Ghaziabad, Delhi-NCR, India

    Akash Kumar Bhoi

  4. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  5. Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain

    Juan M. Corchado

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Sivani, T., Mishra, S. (2022). Wearable Devices: Evolution and Usage in Remote Patient Monitoring System. In: Mishra, S., González-Briones, A., Bhoi, A.K., Mallick, P.K., Corchado, J.M. (eds) Connected e-Health. Studies in Computational Intelligence, vol 1021. Springer, Cham. https://doi.org/10.1007/978-3-030-97929-4_14

Download citation

Publish with us

Policies and ethics

Search

Navigation