marques
8ee5980906
- Created a new module `utils/__init__.py` to consolidate utility imports. - Added `event_map.py` for mapping apnea event types to numerical values and colors. - Implemented various filtering functions in `filter_func.py`, including Butterworth, Bessel, downsampling, and notch filters. - Developed `operation_tools.py` for dataset configuration loading, event mask generation, and signal processing utilities. - Introduced `split_method.py` for segmenting data based on movement and amplitude criteria. - Added `statistics_metrics.py` for calculating amplitude metrics and generating confusion matrices. - Included a new Excel file for additional data storage.
42 lines
956 B
Python
42 lines
956 B
Python
# apnea event type to number mapping
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E2N = {
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"Hypopnea": 1,
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"Central apnea": 2,
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"Obstructive apnea": 3,
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"Mixed apnea": 4
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}
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N2Chn = {
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1: "Rpeak",
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2: "ECG_Sync",
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3: "Effort Tho",
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4: "Effort Abd",
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5: "Flow P",
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6: "Flow T",
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7: "SpO2",
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8: "5_class"
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}
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Stage2N = {
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"W": 5,
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"N1": 3,
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"N2": 2,
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"N3": 1,
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"R": 4,
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}
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# 设定事件和其对应颜色
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# event_code color event
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# 0 黑色 背景
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# 1 粉色 低通气
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# 2 蓝色 中枢性
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# 3 红色 阻塞型
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# 4 灰色 混合型
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# 5 绿色 血氧饱和度下降
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# 6 橙色 大体动
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# 7 橙色 小体动
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# 8 橙色 深呼吸
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# 9 橙色 脉冲体动
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# 10 橙色 无效片段
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ColorCycle = ["black", "pink", "blue", "red", "silver", "green", "orange", "orange", "orange", "orange",
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"orange"] |