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HealthGuard-A-Machine-Learning-Based-Security-Framework-for-Smart-Healthcare-Systems

Authors: AKM Iqtidar Newaz, Amit Kumar Sikder, Mohammad Ashiqur Rahman, and A. Selcuk Uluagac
Cyber-Physical Systems Security Lab, Analytics for Cyber Defense Lab
Department of Electrical and Computer Engineering Florida International University, Miami, USA
Email: {anewa001, asikd003, marahman, suluagac} @fiu.edu
Published in: IEEE Sixth International Conference on Social Networks Analysis, Management and Security, 2019.

FEATURE EXPLANATIONS (In column order)

Column Column Name Vital Signs Unit
1 HR Heart Rate Beats per Minute
2 BPD Diastolic Blood Pressure Millimeters of Mercury (mmHg)
3 BPS Systolic Blood Pressure Millimeters of Mercury (mmHg)
4 GL Blood Glucose Milligram (mg)/Decilite(dl)
5 OX Blood Oxygen Oxygen Saturation level (%)
6 BR Respiratory or Breathing Rate Breaths per Minute
7 SW Sweating Rate MicroLitre (μl)/Minute/Centimeter (cm^2)
8 AL Blood Alcohol Percentage (%) of Alcohol
9 HG Blood Hemoglobin g/dl
10 HM Human Motion Movement (1) or not (0)
11 BD Braing Delta Hetz (Hz)
12 BT Braing Theta Hz
13 BA Braing Alpha Hz
14 BB Braing Beta Hz
15 SL Sleep Light Cycle Percentage (%) of Total Sleep Cycle
16 SD Sleep Deep Cycle Percentage (%) of Total Sleep Cycle
17 BR Sleep REM Cycle Percentage (%) of Total Sleep Cycle

LABEL EXPLANATIONS (In label order)

Label Activity Type
0 High Blood Pressure
1 High Cholesterol
2 Excessive Sweating
3 Abnormal Oxygen Level
4 High ot Low Blood Sugar
5 Sleeping
6 Walking
7 Stress
8 Exercise
9 Drunk
10 Heart-Attack
11 Stroke

For further explanation of the dataset, please read the paper.

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