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A Pervasive Healthcare Testbed for Optimized Monitoring of Medical Data Services



time from
start (in
months) of
the project




1st Quarter

1. Requirements and
2. Analysis of Healthcare setups
and underlying problems in
3. Business Model
4. Review of Existing Priority
based scheduling algorithms
5. Configuration of MICA2

1. Requirement Specification
2. Analysis Report
3. Business Model Document
4. Literature Review Document
5. Small prototype with
configured MICA2 motes



1. Detailed Design of proposed
healthcare system
2. Simulation and evaluation of
the proposed system
3. Mechanisms for the sharing
of patient’s information, such
as X-rays, MRI, CAT scans
4. Test Cases

1. System Design Document
2. Evaluation Results
3. A working prototype (along
with GUI and code) for
Information sharing
4. Test plan


3rd Quarter

1. Implementation of the
proposed Healthcare system
on MICA2 Motes
2. Proactive and reactive
mechanisms for effective
3. Performance Evaluation and
Optimization of Integrated
4. Optimized Priority
Assignment Modules
5. Remote Patient Monitoring
6. Function Testing
7. Performance Testing

1. Healthcare System Prototype
(with GUI and code)
2. Routing protocol for effective
routing (with simulation code)
3. Evaluation Results and
optimized integrated system
4. A working module for Priority
Assignment (with code)
5. A working module (with GUI
and code) for remote patient
monitoring. This will also
include a mobile application.
6. Results of function testing
7. Test results of Performance


4th Quarter

1. Knowledge Base Module
2. Medical Ontology Module
3. Fully Operational System
4. System Deployment and
User Testing
5. User Interface Testing
6. Configuration Testing
7. Risk Mitigation, Monitoring
and Management
8. Exploitation and
9. Training sessions for
healthcare professionals and

1. A working module for
Knowledge Base (with GUI
and code)
2. A working Module generating
Medical Ontologies (with GUI
and code)
3. Final Demonstration of the
working prototype including
all the functionalities in a real
time hospital scenario
4. Test Results and report of
operational system
5. Results of user interface
6. Results of Configuration
7. Risk Management Report
8. Research Papers Publication
9. Training material, report and
user feedback.

Proposed System

  • Modules
  • The proposed Healthcare system is focused to provide quality of life in chaotic medical situations in Pakistan. The objective is to closely monitor the existing healthcare services and ICT systems, if any, in Pakistan to come up with a robust solution. The analysis of the existing healthcare setups in Pakistan has led to following functional requirements.

  • Remote Patient Monitoring:
  • The remote patient-monitoring module will help in real-time continuous monitoring of patients not having access to expert medical services. This will also help the healthcare experts to have updated information of critical patients remotely facilitating the cases where patients are not hospitalized.  Patients will also be able to view their medical history and progress.

  • Optimized Priority Assignment Module:
  • In the proposed scheme, an efficient algorithm, which decides at runtime which data flow is to be given high priority based on its criticality will be developed. The data generated by the data acquisition node (DAN) will be compared with their respective threshold values. If the value of any type of sensed data is greater or close to its threshold, then priority will be assigned to that data stream. Different priorities will be assigned which is based on data urgency.
    At the intermediate sensor nodes, a classifier will be used. The task of the classifier will be to classify different data flows and assign queues according to their priority and the source node identifier. A scheduler adaptively will schedule packets on the basis of the priority assigned by the proposed scheme. Also at each intermediate node, an average queuing delay will be calculated for both priority and non-priority queues at the end of every specific interval. The interval will be selected at which the best throughput is obtained by maintain a threshold range TR for average queuing delay. The calculated value will be compared against the TR and an appropriate action will be taken in case the average queuing delay is greater than the threshold.

  • Knowledge Base Module:
  • Knowledge Base module will help in creating the knowledge based on the medical data acquired from the remote sensing for objective analysis and predictive behavior. This module will facilitate the healthcare professionals to generate patient and disease specific care plans based on the historic data of similar patients using machine learning and data mining techniques. 

  • Medical Ontologies Module:

This module will help in developing the standardized medical ontologies for efficient searching and seamless integration with the existing medical solutions.


Get in touch with us
Computer Science Department
1.5 KM Defence Road
Off Raiwind Road, Lahore

Tel:+92 (42) 111-001-007
Fax: +92 (42) 99203100

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