Halitech Solutions

Halitech Solutions · Halifax, Nova Scotia

Applied AI that separates the signal from the noise.

We work in two areas: AI research that cleans movement noise out of wearable ECG signals, and Halitech Academy, practical AI training for business leaders and their teams.

25 mm/s · 10 mm/mV · illustrative

Grey: a wearable ECG trace with movement noise. Red: the same rhythm after artifact correction. Illustration only.

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What we do

Two areas, one discipline

Both start from the same habit: understand the data and the people using it before applying a model.

Health AI research

Motion-artifact reduction for wearable ECG

When people move, wearable ECG signals pick up noise that can hide or imitate real heart activity. Our methods detect and correct that noise so remote monitoring can rely on the signal.

  • The motion sensor shows when the ECG can't be trusted
  • Wavelet features, machine learning and a denoising autoencoder
  • Detect, confirm and clean: 98.8% detection accuracy in peer-reviewed tests

The research →   Try the live demo →

Halitech Academy

Applied AI training for business

Plain-language courses that help CEOs, owners and teams decide where AI helps, where it does not, and what to watch for.

  • 4-hour course: How to Apply AI in Your Business
  • Executive briefings and team workshops
  • In-person in Halifax, or online
Academy courses →

Founder

Dr. Ali Hamidi

Ali holds a PhD in artificial intelligence. His thesis, Machine learning-based classification and reduction of motion artifact noise in ECG signals for wearable vital sign monitoring devices, produced the ECG artifact-reduction methods behind Halitech's research. He also holds an MBA and a background in electrical engineering, and has worked in IT and research for 29 years.

More about Ali and Halitech →

Talk to us

Planning AI training for your leadership team, or interested in the ECG research? Send a short note and we will reply.

Contact Halitech