Planned experiment
Visualising a pulse sensor signal
A first experiment focused on recording, cleaning and visualising pulse data obtained from a simple biomedical sensor.
Data and Artificial Intelligence
Brain Health Data Experiments
A growing collection of small computational experiments exploring biomedical signals, data visualisation, Python and responsible artificial intelligence.
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Project overview
This project documents my first computational explorations at the intersection of biomedical engineering, neuroscience and data science.
The aim is not simply to produce visualisations or code, but to understand how biological and clinical information can be represented, analysed and interpreted responsibly.
Each experiment will include the original question, the dataset or signal used, the analytical process, the limitations of the approach and a reflection on its possible relevance to brain health.
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Areas of exploration
- Visualisation of physiological and biomedical signals
- Basic processing of heart-rate and pulse data
- Introduction to EEG and neurological signal concepts
- Exploratory analysis of cognitive and clinical datasets
- Python workflows for scientific computing
- Responsible and explainable artificial intelligence
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Future experiments
Planned experiment
Exploring biomedical time-series data
An introduction to the structure of time-series data, including sampling, noise, peaks, trends and basic signal features.
Planned experiment
Responsible AI for brain health
A conceptual exploration of how artificial intelligence could support clinical reasoning while remaining transparent, interpretable and human-centred.
Ongoing archive
This page will evolve as new experiments are completed.
Code, visualisations, notes and methodological reflections will be added progressively throughout my Biomedical Engineering studies.
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