IoT health monitoring · Founded 2023

Heart patients, watched over wherever they are.

CardioWatch uses smart sensors and the Internet of Things to collect heart patients' data, and machine learning to classify their condition and keep them informed about their health.

See the solutionView the results
Real timepatient monitoring
AIdisease classification
IoTsmart sensors
System profile At a glance
SensingSmart IoT sensors
Data
AnalysisMachine learning models
AI
OutputPatient health status
Alerts
Why it matters: Heart failure patients can deteriorate between visits. Continuous monitoring catches changes early.
The problem

Heart failure needs constant attention

Patients with acute heart failure need close follow-up, but visits are limited.

Gaps between visits

Changes in a patient's condition can go unnoticed at home.

Remote care demand

COVID-19 showed how much care must move online.

Too much data

Sensor data is only useful if it is turned into decisions.

Our solution

AI-powered remote monitoring

CardioWatch joins IoT data collection with machine learning classification.

Monitoring

Activity tracked continuously

Livereal-time monitoring
  • Smart sensors
  • Data from many sources
  • Patient informed
Classification

Disease detection

MLmodels compared
  • Classifies heart disease
  • Higher accuracy reported
  • Supports decisions
Access

Care beyond the clinic

Remoteonline service
  • Home use
  • Fewer visits
  • Fits telehealth
How it works

How CardioWatch works

From sensor reading to health insight.

  1. 1

    Sense

    IoT sensors collect the patient's activity and health data.

    IoTSensors
  2. 2

    Transmit

    Data is sent securely for storage and processing.

    Cloud
  3. 3

    Classify

    Machine learning models classify the patient's condition.

    Machine learning
  4. 4

    Inform

    Patients and carers see the health status.

    DashboardAlerts
Results

What the research showed

Findings reported in the published study.

Real timemonitoring achieved
Higherclassification accuracy reported
AI + IoTcombined system
2023peer-reviewed study
What CardioWatch does
FunctionHow
Collect dataIoT smart sensors
Store and manageAI-supported data handling
Classify diseaseMachine learning models
Inform patientsHealth status updates

Source: Almujally et al., Sensors 23(10), 4580 (2023). doi:10.3390/s23104580

Who it's for

Who CardioWatch is for

For patients, carers and providers managing heart failure.

Heart failure patients

  • Know your health status
  • Care at home
  • Peace of mind

Cardiology clinics

  • Remote follow-up
  • Early warning
  • Better use of visits

Telehealth providers

  • Ready AI + IoT design
  • Scalable monitoring
  • Data for decisions
Where we are

Where the evidence stands

CardioWatch is a research system with experimental results.

Research system

Results come from experiments, not a clinical deployment.

Not a medical device yet

Regulatory approval would be needed before clinical use.

Validation ahead

Testing with patients in real settings is the next step.

The team

The team

Founded in 2023 by the research team behind the study.

TA

Turki Aljrees

Co-author of the CardioWatch research.

NA

Nouf Abdullah Almujally

Co-author of the CardioWatch research.

OS

Oumaima Saidani

Co-author of the CardioWatch research.

MU

Muhammad Umer

Co-author of the CardioWatch research.

ZF

Zaid Bin Faheem

Co-author of the CardioWatch research.

NA

Nihal Abuzinadah

Co-author of the CardioWatch research.

KA

Khaled Alnowaiser

Co-author of the CardioWatch research.

IA

Imran Ashraf

Co-author of the CardioWatch research.

Frequently asked questions

What does CardioWatch monitor?

The activities and health data of heart failure patients via IoT sensors.

Does it use AI?

Yes, machine learning models classify disease from the collected data.

Can doctors use it now?

Not yet. It is a research system that needs clinical validation.

Who is behind it?

Researchers including Turki Aljrees.

The research

Peer-reviewed science behind CardioWatch.

Read the full study behind the product.

Read the paper

Almujally, N. A., Aljrees, T., Saidani, O., Umer, M., Faheem, Z. B., Abuzinadah, N., Alnowaiser, K., & Ashraf, I. (2023). Monitoring Acute Heart Failure Patients Using Internet-of-Things-Based Smart Monitoring System. Sensors, 23(10), 4580.

https://doi.org/10.3390/s23104580