http://iet.metastore.ingenta.com
1887

Smartphone-based blood pressure monitoring for falls risk assessment: techniques and technologies

Smartphone-based blood pressure monitoring for falls risk assessment: techniques and technologies

For access to this article, please select a purchase option:

Buy chapter PDF
£10.00
(plus tax if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Human Monitoring, Smart Health and Assisted Living: Techniques and technologies — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Smart patient monitoring systems have rapidly evolved during the past two decades and have the potential to improve current patient care and medical staffworkflow. With advanced sensors, sophisticated hardware and fast-growing wireless communication technologies, there are enormous opportunities for ubiquitous solutions in all areas of healthcare, especially patient monitoring. Current methods of non-invasive blood pressure measurement are based on inflation and deflation of a cuff with some effects on arteries where blood pressure is being measured. This approach is non-continuous, time delayed, and might cause patient discomfort. We aim to monitor and measure cuff-less and continuous blood pressure using a smartphone. Cuff-less approach enables continuous blood pressure monitoring capabilities and is particularly attractive as blood pressure is one of the most important factors to assess risk of falls in older adults. A smartphone application was developed to collect PhotoPlethysmoGram (PPG) waveform and electrocardiogram (ECG) in order to calculate pulse transit time (PTT). The user's systolic blood pressure is calculated using the PPT and precise optimisation model. The proposed application can be integrated with our developed falls risk assessment algorithm for inpatient older adults. This study proposes a novel approach of continuous blood pressure monitoring using cuff-less method that can be employed for prevention of inpatient falls using smartphone.

Chapter Contents:

  • Abstract
  • Keywords
  • 10.1 Introduction
  • 10.2 Mobile healthcare applications
  • 10.2.1 Smartphone applications in the secondary care
  • 10.2.2 Application of tablets and smartphones in monitoring of daily activities of hospitalised patients
  • 10.3 Design and methodology of the smart monitoring application
  • 10.3.1 Medical device and wireless connectivity
  • 10.3.2 Continuous blood pressure monitoring applications
  • 10.3.3 System calibration and optimization
  • 10.3.4 Vital sign monitoring system design and modelling
  • 10.3.5 Falls risk assessment
  • 10.4 Application development and system performance
  • 10.4.1 ECG and PPG data handling
  • 10.4.2 Cloud-based data storage and data security
  • 10.4.3 User-centric approach
  • 10.5 Discussion and conclusion
  • References

Inspec keywords: blood pressure measurement; photoplethysmography; smart phones; geriatrics; electrocardiography; medical signal processing; blood vessels; patient monitoring

Other keywords: photoplethysmogram waveform; smart patient monitoring systems; systolic blood pressure; wireless communication technologies; pulse transit time; patient care; arteries; electrocardiogram; smartphone application; fall risk assessment; smartphone-based blood pressure monitoring; cuff-less approach

Subjects: Pressure and vacuum measurement; Patient diagnostic methods and instrumentation; Electrical activity in neurophysiological processes; Haemodynamics, pneumodynamics; Bioelectric signals; Optical and laser radiation (biomedical imaging/measurement); Biology and medical computing; Optical and laser radiation (medical uses); Ubiquitous and pervasive computing; Mobile radio systems; Electrodiagnostics and other electrical measurement techniques; Digital signal processing; Signal processing and detection

Preview this chapter:
Zoom in
Zoomout

Smartphone-based blood pressure monitoring for falls risk assessment: techniques and technologies, Page 1 of 2

| /docserver/preview/fulltext/books/he/pbhe009e/PBHE009E_ch10-1.gif /docserver/preview/fulltext/books/he/pbhe009e/PBHE009E_ch10-2.gif

Related content

content/books/10.1049/pbhe009e_ch10
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address