A practical design and implementation of a low cost platform for remote monitoring of lower limb health of amputees in the developing world

Research output: Contribution to journalArticle

Abstract

In many areas of the world accessing professional physicians ‘when needed/as needed’ might not be always possible for a variety of reasons. Therefore, in such cases a targeted e-Health solution to safeguard patient long-term health could be a meaningful approach. Today’s modern healthcare technologies, often built around electronic and computer-based equipment, require an access to a reliable electricity supply. Many healthcare technologies and products also presume access to the high speed internet is available, making them unsuitable for use in areas where there is no fixed-line internet connectivity, access is slow, unreliable and expensive, yet where the most benefit to patients may be gained.
In this paper a full mobile sensor platform is presented, based around readily-purchased consumer components, to facilitate a low cost and efficient means of monitoring the health of patients with prosthetic lower limbs. This platform is designed such that it can also be operated in a standalone mode i.e. in the absence of internet connectivity, thereby making it suitable to the developing world. Also, to counter the challenge of power supply issues in e-Health monitoring, a self-contained rechargeable solution to the platform is proposed and demonstrated. The platform works with an Android mobile device, in order to allow for the capture of data from a wireless sensor unit, and to give the clinician access to results from the sensors. The results from the analysis, carried out within the platform’s Raspberry Pi Zero, are demonstrated to be of use for remote monitoring. This is specifically targeted for monitoring the tissue health of lower limb amputees. The monitoring of residual limb temperature and gait can be a useful indicator of tissue viability in lower limb amputees especially those suffering from diabetes. We describe a route wherein non-invasive monitoring of tissue health is achievable using the Gaussian process technique. This knowledge will be useful in establishing biomarkers related to a possible deterioration in a patient’s health or for assessing the impact of clinical interventions.
LanguageEnglish
Pages7440 - 7451
Number of pages12
JournalIEEE ACCESS
Volume4
DOIs
StatePublished - 27 Oct 2016

Fingerprint

Amputees
Lower Extremity
Health
Costs and Cost Analysis
Monitoring
Costs
Internet
Tissue
Sensors
Technology
Delivery of Health Care
Electric Power Supplies
Tissue Survival
Equipment and Supplies
Electricity
Physiologic Monitoring
Biomarkers
Medical problems
Prosthetics
Gait

Keywords

  • accelerometer
  • e-health
  • elastomer
  • gait
  • Gaussian processes for machine learning (GPML)
  • gyroscope
  • lower limb prosthetics
  • rehabilitation
  • sensors
  • tissue Health
  • wearable sensor platform

Cite this

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title = "A practical design and implementation of a low cost platform for remote monitoring of lower limb health of amputees in the developing world",
abstract = "In many areas of the world accessing professional physicians ‘when needed/as needed’ might not be always possible for a variety of reasons. Therefore, in such cases a targeted e-Health solution to safeguard patient long-term health could be a meaningful approach. Today’s modern healthcare technologies, often built around electronic and computer-based equipment, require an access to a reliable electricity supply. Many healthcare technologies and products also presume access to the high speed internet is available, making them unsuitable for use in areas where there is no fixed-line internet connectivity, access is slow, unreliable and expensive, yet where the most benefit to patients may be gained. In this paper a full mobile sensor platform is presented, based around readily-purchased consumer components, to facilitate a low cost and efficient means of monitoring the health of patients with prosthetic lower limbs. This platform is designed such that it can also be operated in a standalone mode i.e. in the absence of internet connectivity, thereby making it suitable to the developing world. Also, to counter the challenge of power supply issues in e-Health monitoring, a self-contained rechargeable solution to the platform is proposed and demonstrated. The platform works with an Android mobile device, in order to allow for the capture of data from a wireless sensor unit, and to give the clinician access to results from the sensors. The results from the analysis, carried out within the platform’s Raspberry Pi Zero, are demonstrated to be of use for remote monitoring. This is specifically targeted for monitoring the tissue health of lower limb amputees. The monitoring of residual limb temperature and gait can be a useful indicator of tissue viability in lower limb amputees especially those suffering from diabetes. We describe a route wherein non-invasive monitoring of tissue health is achievable using the Gaussian process technique. This knowledge will be useful in establishing biomarkers related to a possible deterioration in a patient’s health or for assessing the impact of clinical interventions.",
keywords = "accelerometer, e-health, elastomer, gait, Gaussian processes for machine learning (GPML), gyroscope, lower limb prosthetics , rehabilitation, sensors, tissue Health, wearable sensor platform",
author = "Neha Mathur and Greig Paul and James Irvine and Mohamed Abuhelala and Arjan Buis and Ivan Glesk",
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AU - Mathur,Neha

AU - Paul,Greig

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AU - Buis,Arjan

AU - Glesk,Ivan

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