27 lines
1.2 KiB
Markdown
27 lines
1.2 KiB
Markdown
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# Compress ECG byte
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## Instructions
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After downloading the source code, ensure you have Python and Python Flask installed.
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Then, run `python main.py` and navigate to `localhost:8888`.
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## Design Considerations and Key Decisions
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-
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## Compression Algorithm
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I chose to go with a simple Huffman Coding algorithm
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##
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After doing some initial research, I learned there's no 1 standardized format for ECG files.
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So there's nothing special we can do in terms of optimizing our compression algorithm for specific headers, special data structures, etc.
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So I figured I should treat the entire file with characters being 24 bits (3 bytes) each.
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I chose to go with Huffman coding since it was the most common file format.
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After compressing, we need information about which code is assigned to which 3 bytes in order to reconstruct the original file.
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This requires storing some extra information in the header/front of the compressed file so that we can reliably reconstruct the original file.
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Although it isn't explicity stated as part of the requirements, we should ensure that our compressed file can be decompressed into the original file.
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This functionality doesn't necessarily need to be available in the Web UI for users to decompress their file.
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