Added synthetic data schemas, sample datasets, preprocessing notebook…

AI Guardian/DataSchemas_WJ/README.MD

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+# Data Schemas & Sample Datasets – William Jackson
+
+## Overview
+
+This folder is for the Guardian alert system with emotional and healht risk detection - data & Requirement\_ task.
+It contains reference schemas, sample datasets, and preprocessing notebooks for vitals, wearable inputs, and optional emotion data.
+
+## Purpose
+
+- Define data schemas for vitals, wearable inputs, and optional emotion data (facial/voice).
+- Collect annotated vitals time-series and simulated wearable datasets.
+- Design preprocessing pipelines for time-series cleaning and baseline normalization.
+- Establish privacy and security guidelines for wearable and sensitive emotion data.
+- Develop data acquisition plan including integration of future wearable data sources.
+- Implement quality assurance for time-series integrity and labeling accuracy.
+- Review requirements with clinical staff and guardians for alert relevance.
+
+## Contents
+
+- **Sample datasets**
+
+  - `sample_emotion.csv` – example of optional emotion input (facial/voice tags).
+  - `sample_vital.csv` – simulated vital signs time-series.
+  - `sample_wearable.csv` – wearable activity and lifestyle signals.
+
+- **Schemas**
+
+  - `schema_alert.csv` – structure of system-generated alerts.
+  - `schema_vital.csv` – expected fields for vitals ingestion.
+  - `schema_wearable.csv` – expected fields for wearable inputs.
+
+- **Notebooks**
+  - `preprocessing.ipynb` – data cleaning, normalization, schema validation.
+
+---
+
+## How to Use
+
+1. Review `schemas/` to understand the required fields.
+2. Load files from `raw_data/` as test inputs.
+3. Use `preprocessing.ipynb` to validate and normalize sample data.
+4. Save cleaned outputs into `processed_data/`.
+
+---
+
+_Author: William Jackson_  
+_AI Sprint T2 2025 – Data & Requirements_

AI Guardian/DataSchemas_WJ/processed_data/.ipynb_checkpoints/emotions_clean-checkpoint.csv

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+patient_id,timestamp,source,emotion,confidence,notes,model,privacy_tag
+P001,2000-01-01 09:00:00+00:00,face,neutral,0.91,,emoNet-v2,normal
+P001,2000-01-01 09:05:00+00:00,voice,stressed,0.77,,emoNet-v2,normal
+P001,2000-01-01 09:10:00+00:00,face,happy,0.85,,emoNet-v2,normal
+P001,2000-01-01 09:15:00+00:00,voice,tired,0.66,,emoNet-v2,normal
+P001,2000-01-01 09:20:00+00:00,face,angry,0.72,,emoNet-v2,normal
+P002,2000-01-01 09:25:00+00:00,voice,neutral,0.88,,emoNet-v2,normal
+P002,2000-01-01 09:30:00+00:00,face,surprise,0.79,,emoNet-v2,normal
+P002,2000-01-01 09:35:00+00:00,voice,sad,0.81,,emoNet-v2,normal
+P002,2000-01-01 09:40:00+00:00,face,happy,0.92,,emoNet-v2,normal
+P002,2000-01-01 09:45:00+00:00,voice,stressed,0.84,,emoNet-v2,normal

AI Guardian/DataSchemas_WJ/processed_data/emotions_clean.csv

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+patient_id,timestamp,source,emotion,confidence,notes,model,privacy_tag
+P001,2000-01-01 09:00:00+00:00,face,neutral,0.91,,v1,normal
+P001,2000-01-01 09:05:00+00:00,voice,stressed,0.77,,v1,normal
+P001,2000-01-01 09:10:00+00:00,face,happy,0.85,,v1,normal
+P001,2000-01-01 09:15:00+00:00,voice,tired,0.66,,v1,normal
+P001,2000-01-01 09:20:00+00:00,face,angry,0.72,,v1,normal
+P002,2000-01-01 09:25:00+00:00,voice,neutral,0.88,,v1,normal
+P002,2000-01-01 09:30:00+00:00,face,surprise,0.79,,v1,normal
+P002,2000-01-01 09:35:00+00:00,voice,sad,0.81,,v1,normal
+P002,2000-01-01 09:40:00+00:00,face,happy,0.92,,v1,normal
+P002,2000-01-01 09:45:00+00:00,voice,stressed,0.84,,v1,normal

AI Guardian/DataSchemas_WJ/processed_data/merged_timeseries.csv

@@ -0,0 +1,21 @@
+patient_id,timestamp,heart_rate,spo2,resp_rate,temp,systolic_bp,diastolic_bp,device_v,quality_flag_v,hr_norm,spo2_norm,step_count,activity_level,accel_x,accel_y,accel_z,calories,device_w,quality_flag_w,steps_norm,cal_norm
+P001,2000-01-01 09:00:00+00:00,86,96,17,36.8,125,82,Fitbit,ok,0.29473684210526313,0.8666666666666667,0,sedentary,0.05,-0.01,9.77,1.5,Fitbit,ok,0.0,0.00015
+P001,2000-01-01 09:05:00+00:00,91,98,15,36.6,117,85,Fitbit,ok,0.32105263157894737,0.9333333333333333,45,light,0.1,0.03,9.85,2.3,Fitbit,ok,0.0009,0.00022999999999999998
+P001,2000-01-01 09:10:00+00:00,77,95,18,37.0,138,73,Fitbit,ok,0.24736842105263157,0.8333333333333334,120,moderate,0.08,0.02,9.7,3.8,Fitbit,ok,0.0024,0.00037999999999999997
+P001,2000-01-01 09:15:00+00:00,101,99,16,36.9,133,78,Fitbit,ok,0.3736842105263158,0.9666666666666667,230,intense,-0.12,0.04,9.92,5.6,Fitbit,ok,0.0046,0.00056
+P001,2000-01-01 09:20:00+00:00,84,97,14,36.5,121,87,Fitbit,ok,0.28421052631578947,0.9,60,light,0.02,-0.05,9.81,2.7,Fitbit,ok,0.0012,0.00027
+P001,2000-01-01 09:25:00+00:00,92,96,19,37.2,130,74,Fitbit,ok,0.3263157894736842,0.8666666666666667,180,moderate,0.06,0.01,9.76,4.9,Fitbit,ok,0.0036,0.00049
+P001,2000-01-01 09:30:00+00:00,79,98,13,36.7,116,81,Fitbit,ok,0.2578947368421053,0.9333333333333333,15,sedentary,-0.04,0.02,9.79,1.8,Fitbit,ok,0.0003,0.00018
+P001,2000-01-01 09:35:00+00:00,88,94,15,36.9,127,75,Fitbit,ok,0.30526315789473685,0.8,95,light,0.09,-0.03,9.88,3.2,Fitbit,ok,0.0019,0.00032
+P001,2000-01-01 09:40:00+00:00,95,97,17,36.6,119,84,Fitbit,ok,0.34210526315789475,0.9,310,intense,0.14,0.05,9.83,6.4,Fitbit,ok,0.0062,0.00064
+P001,2000-01-01 09:45:00+00:00,83,99,16,36.8,122,80,Fitbit,ok,0.2789473684210526,0.9666666666666667,150,moderate,-0.08,0.06,9.74,4.2,Fitbit,ok,0.003,0.00042
+P002,2000-01-01 09:00:00+00:00,74,97,16,36.7,121,78,Apple Watch,ok,0.23157894736842105,0.9,20,light,0.04,0.01,9.79,2.0,Apple Watch,ok,0.0004,0.0002
+P002,2000-01-01 09:05:00+00:00,88,96,14,36.8,118,82,Apple Watch,ok,0.30526315789473685,0.8666666666666667,80,moderate,-0.06,0.02,9.82,3.1,Apple Watch,ok,0.0016,0.00031
+P002,2000-01-01 09:10:00+00:00,81,95,17,36.6,125,85,Apple Watch,ok,0.26842105263157895,0.8333333333333334,200,intense,0.11,-0.04,9.75,6.0,Apple Watch,ok,0.004,0.0006
+P002,2000-01-01 09:15:00+00:00,90,98,15,36.9,119,76,Apple Watch,ok,0.3157894736842105,0.9333333333333333,35,light,0.02,0.0,9.8,2.4,Apple Watch,ok,0.0007,0.00023999999999999998
+P002,2000-01-01 09:20:00+00:00,85,99,18,36.7,123,80,Apple Watch,ok,0.2894736842105263,0.9666666666666667,145,moderate,-0.05,0.03,9.84,4.7,Apple Watch,ok,0.0029,0.00047000000000000004
+P002,2000-01-01 09:25:00+00:00,93,96,16,36.8,127,83,Apple Watch,ok,0.33157894736842103,0.8666666666666667,250,intense,0.13,-0.02,9.77,7.2,Apple Watch,ok,0.005,0.00072
+P002,2000-01-01 09:30:00+00:00,76,94,14,36.5,122,79,Apple Watch,ok,0.24210526315789474,0.8,10,sedentary,0.0,0.01,9.81,1.6,Apple Watch,ok,0.0002,0.00016
+P002,2000-01-01 09:35:00+00:00,89,97,17,36.9,124,81,Apple Watch,ok,0.3105263157894737,0.9,95,light,0.07,-0.01,9.85,3.3,Apple Watch,ok,0.0019,0.00033
+P002,2000-01-01 09:40:00+00:00,82,98,15,36.7,120,77,Apple Watch,ok,0.2736842105263158,0.9333333333333333,310,intense,-0.09,0.04,9.78,6.5,Apple Watch,ok,0.0062,0.00065
+P002,2000-01-01 09:45:00+00:00,87,95,16,36.6,126,84,Apple Watch,ok,0.3,0.8333333333333334,175,moderate,0.05,0.06,9.82,4.8,Apple Watch,ok,0.0035,0.00047999999999999996

AI Guardian/DataSchemas_WJ/processed_data/vitals_clean.csv

@@ -0,0 +1,21 @@
+patient_id,timestamp,heart_rate,spo2,resp_rate,temp,systolic_bp,diastolic_bp,device,quality_flag,hr_norm,spo2_norm
+P001,2000-01-01 09:00:00+00:00,86,96,17,36.8,125,82,Fitbit,ok,0.29473684210526313,0.8666666666666667
+P001,2000-01-01 09:05:00+00:00,91,98,15,36.6,117,85,Fitbit,ok,0.32105263157894737,0.9333333333333333
+P001,2000-01-01 09:10:00+00:00,77,95,18,37.0,138,73,Fitbit,ok,0.24736842105263157,0.8333333333333334
+P001,2000-01-01 09:15:00+00:00,101,99,16,36.9,133,78,Fitbit,ok,0.3736842105263158,0.9666666666666667
+P001,2000-01-01 09:20:00+00:00,84,97,14,36.5,121,87,Fitbit,ok,0.28421052631578947,0.9
+P001,2000-01-01 09:25:00+00:00,92,96,19,37.2,130,74,Fitbit,ok,0.3263157894736842,0.8666666666666667
+P001,2000-01-01 09:30:00+00:00,79,98,13,36.7,116,81,Fitbit,ok,0.2578947368421053,0.9333333333333333
+P001,2000-01-01 09:35:00+00:00,88,94,15,36.9,127,75,Fitbit,ok,0.30526315789473685,0.8
+P001,2000-01-01 09:40:00+00:00,95,97,17,36.6,119,84,Fitbit,ok,0.34210526315789475,0.9
+P001,2000-01-01 09:45:00+00:00,83,99,16,36.8,122,80,Fitbit,ok,0.2789473684210526,0.9666666666666667
+P002,2000-01-01 09:00:00+00:00,74,97,16,36.7,121,78,Apple Watch,ok,0.23157894736842105,0.9
+P002,2000-01-01 09:05:00+00:00,88,96,14,36.8,118,82,Apple Watch,ok,0.30526315789473685,0.8666666666666667
+P002,2000-01-01 09:10:00+00:00,81,95,17,36.6,125,85,Apple Watch,ok,0.26842105263157895,0.8333333333333334
+P002,2000-01-01 09:15:00+00:00,90,98,15,36.9,119,76,Apple Watch,ok,0.3157894736842105,0.9333333333333333
+P002,2000-01-01 09:20:00+00:00,85,99,18,36.7,123,80,Apple Watch,ok,0.2894736842105263,0.9666666666666667
+P002,2000-01-01 09:25:00+00:00,93,96,16,36.8,127,83,Apple Watch,ok,0.33157894736842103,0.8666666666666667
+P002,2000-01-01 09:30:00+00:00,76,94,14,36.5,122,79,Apple Watch,ok,0.24210526315789474,0.8
+P002,2000-01-01 09:35:00+00:00,89,97,17,36.9,124,81,Apple Watch,ok,0.3105263157894737,0.9
+P002,2000-01-01 09:40:00+00:00,82,98,15,36.7,120,77,Apple Watch,ok,0.2736842105263158,0.9333333333333333
+P002,2000-01-01 09:45:00+00:00,87,95,16,36.6,126,84,Apple Watch,ok,0.3,0.8333333333333334

AI Guardian/DataSchemas_WJ/processed_data/wearables_clean.csv

@@ -0,0 +1,21 @@
+patient_id,timestamp,step_count,activity_level,accel_x,accel_y,accel_z,calories,device,quality_flag,steps_norm,cal_norm
+P001,2000-01-01 09:00:00+00:00,0,sedentary,0.05,-0.01,9.77,1.5,Fitbit,ok,0.0,0.00015
+P001,2000-01-01 09:05:00+00:00,45,light,0.1,0.03,9.85,2.3,Fitbit,ok,0.0009,0.00022999999999999998
+P001,2000-01-01 09:10:00+00:00,120,moderate,0.08,0.02,9.7,3.8,Fitbit,ok,0.0024,0.00037999999999999997
+P001,2000-01-01 09:15:00+00:00,230,intense,-0.12,0.04,9.92,5.6,Fitbit,ok,0.0046,0.00056
+P001,2000-01-01 09:20:00+00:00,60,light,0.02,-0.05,9.81,2.7,Fitbit,ok,0.0012,0.00027
+P001,2000-01-01 09:25:00+00:00,180,moderate,0.06,0.01,9.76,4.9,Fitbit,ok,0.0036,0.00049
+P001,2000-01-01 09:30:00+00:00,15,sedentary,-0.04,0.02,9.79,1.8,Fitbit,ok,0.0003,0.00018
+P001,2000-01-01 09:35:00+00:00,95,light,0.09,-0.03,9.88,3.2,Fitbit,ok,0.0019,0.00032
+P001,2000-01-01 09:40:00+00:00,310,intense,0.14,0.05,9.83,6.4,Fitbit,ok,0.0062,0.00064
+P001,2000-01-01 09:45:00+00:00,150,moderate,-0.08,0.06,9.74,4.2,Fitbit,ok,0.003,0.00042
+P002,2000-01-01 09:00:00+00:00,20,light,0.04,0.01,9.79,2.0,Apple Watch,ok,0.0004,0.0002
+P002,2000-01-01 09:05:00+00:00,80,moderate,-0.06,0.02,9.82,3.1,Apple Watch,ok,0.0016,0.00031
+P002,2000-01-01 09:10:00+00:00,200,intense,0.11,-0.04,9.75,6.0,Apple Watch,ok,0.004,0.0006
+P002,2000-01-01 09:15:00+00:00,35,light,0.02,0.0,9.8,2.4,Apple Watch,ok,0.0007,0.00023999999999999998
+P002,2000-01-01 09:20:00+00:00,145,moderate,-0.05,0.03,9.84,4.7,Apple Watch,ok,0.0029,0.00047000000000000004
+P002,2000-01-01 09:25:00+00:00,250,intense,0.13,-0.02,9.77,7.2,Apple Watch,ok,0.005,0.00072
+P002,2000-01-01 09:30:00+00:00,10,sedentary,0.0,0.01,9.81,1.6,Apple Watch,ok,0.0002,0.00016
+P002,2000-01-01 09:35:00+00:00,95,light,0.07,-0.01,9.85,3.3,Apple Watch,ok,0.0019,0.00033
+P002,2000-01-01 09:40:00+00:00,310,intense,-0.09,0.04,9.78,6.5,Apple Watch,ok,0.0062,0.00065
+P002,2000-01-01 09:45:00+00:00,175,moderate,0.05,0.06,9.82,4.8,Apple Watch,ok,0.0035,0.00047999999999999996

AI Guardian/DataSchemas_WJ/raw_data/.ipynb_checkpoints/sample_vital-checkpoint.csv

@@ -0,0 +1,21 @@
+patient_id,timestamp,heart_rate,spo2,resp_rate,temp,systolic_bp,diastolic_bp,device,quality_flag
+P001,2000-01-01T09:00:00Z,86,96,17,36.8,125,82,Fitbit,ok
+P001,2000-01-01T09:05:00Z,91,98,15,36.6,117,85,Fitbit,ok
+P001,2000-01-01T09:10:00Z,77,95,18,37.0,138,73,Fitbit,ok
+P001,2000-01-01T09:15:00Z,101,99,16,36.9,133,78,Fitbit,ok
+P001,2000-01-01T09:20:00Z,84,97,14,36.5,121,87,Fitbit,ok
+P001,2000-01-01T09:25:00Z,92,96,19,37.2,130,74,Fitbit,ok
+P001,2000-01-01T09:30:00Z,79,98,13,36.7,116,81,Fitbit,ok
+P001,2000-01-01T09:35:00Z,88,94,15,36.9,127,75,Fitbit,ok
+P001,2000-01-01T09:40:00Z,95,97,17,36.6,119,84,Fitbit,ok
+P001,2000-01-01T09:45:00Z,83,99,16,36.8,122,80,Fitbit,ok
+P002,2000-01-01T09:00:00Z,74,97,16,36.7,121,78,Apple Watch,ok
+P002,2000-01-01T09:05:00Z,88,96,14,36.8,118,82,Apple Watch,ok
+P002,2000-01-01T09:10:00Z,81,95,17,36.6,125,85,Apple Watch,ok
+P002,2000-01-01T09:15:00Z,90,98,15,36.9,119,76,Apple Watch,ok
+P002,2000-01-01T09:20:00Z,85,99,18,36.7,123,80,Apple Watch,ok
+P002,2000-01-01T09:25:00Z,93,96,16,36.8,127,83,Apple Watch,ok
+P002,2000-01-01T09:30:00Z,76,94,14,36.5,122,79,Apple Watch,ok
+P002,2000-01-01T09:35:00Z,89,97,17,36.9,124,81,Apple Watch,ok
+P002,2000-01-01T09:40:00Z,82,98,15,36.7,120,77,Apple Watch,ok
+P002,2000-01-01T09:45:00Z,87,95,16,36.6,126,84,Apple Watch,ok

AI Guardian/DataSchemas_WJ/raw_data/.ipynb_checkpoints/sample_wearable-checkpoint.csv

@@ -0,0 +1,21 @@
+patient_id,timestamp,step_count,activity_level,accel_x,accel_y,accel_z,calories,device,quality_flag
+P001,2000-01-01T09:00:00Z,0,sedentary,0.05,-0.01,9.77,1.5,Fitbit,ok
+P001,2000-01-01T09:05:00Z,45,light,0.10,0.03,9.85,2.3,Fitbit,ok
+P001,2000-01-01T09:10:00Z,120,moderate,0.08,0.02,9.70,3.8,Fitbit,ok
+P001,2000-01-01T09:15:00Z,230,intense,-0.12,0.04,9.92,5.6,Fitbit,ok
+P001,2000-01-01T09:20:00Z,60,light,0.02,-0.05,9.81,2.7,Fitbit,ok
+P001,2000-01-01T09:25:00Z,180,moderate,0.06,0.01,9.76,4.9,Fitbit,ok
+P001,2000-01-01T09:30:00Z,15,sedentary,-0.04,0.02,9.79,1.8,Fitbit,ok
+P001,2000-01-01T09:35:00Z,95,light,0.09,-0.03,9.88,3.2,Fitbit,ok
+P001,2000-01-01T09:40:00Z,310,intense,0.14,0.05,9.83,6.4,Fitbit,ok
+P001,2000-01-01T09:45:00Z,150,moderate,-0.08,0.06,9.74,4.2,Fitbit,ok
+P002,2000-01-01T09:00:00Z,20,light,0.04,0.01,9.79,2.0,Apple Watch,ok
+P002,2000-01-01T09:05:00Z,80,moderate,-0.06,0.02,9.82,3.1,Apple Watch,ok
+P002,2000-01-01T09:10:00Z,200,intense,0.11,-0.04,9.75,6.0,Apple Watch,ok
+P002,2000-01-01T09:15:00Z,35,light,0.02,0.00,9.80,2.4,Apple Watch,ok
+P002,2000-01-01T09:20:00Z,145,moderate,-0.05,0.03,9.84,4.7,Apple Watch,ok
+P002,2000-01-01T09:25:00Z,250,intense,0.13,-0.02,9.77,7.2,Apple Watch,ok
+P002,2000-01-01T09:30:00Z,10,sedentary,0.00,0.01,9.81,1.6,Apple Watch,ok
+P002,2000-01-01T09:35:00Z,95,light,0.07,-0.01,9.85,3.3,Apple Watch,ok
+P002,2000-01-01T09:40:00Z,310,intense,-0.09,0.04,9.78,6.5,Apple Watch,ok
+P002,2000-01-01T09:45:00Z,175,moderate,0.05,0.06,9.82,4.8,Apple Watch,ok

AI Guardian/DataSchemas_WJ/raw_data/.ipynb_checkpoints/schema_alert-checkpoint.csv

@@ -0,0 +1,10 @@
+field_name,type,required,description,example,range
+alert_id,string,yes,Unique alert ID,A-0001,
+patient_id,string,yes,Patient this alert is about,P001,
+timestamp,datetime,yes,Alert creation time,2025-08-22T10:00:00Z,
+alert_type,string,yes,Type of alert,tachycardia,tachycardia|hypoxia|fever|bradycardia|hypertension|hypotension|emotion_risk
+severity,string,yes,How serious it is,medium,low|medium|high|critical
+trigger_fields,string,no,Fields that triggered alert,"heart_rate,spo2",
+rule_id,string,no,Rule that caused alert,R-HEART-01,
+ack_status,string,no,If alert has been acknowledged,unread,unread|acknowledged|resolved
+notes,string,no,Free text for reviewer,Short run post-exercise,

AI Guardian/DataSchemas_WJ/raw_data/.ipynb_checkpoints/schema_vital-checkpoint.csv

@@ -0,0 +1,11 @@
+field_name,type,required,description,example,range
+patient_id,string,yes,Unique ID for the patient,P001,
+timestamp,datetime,yes,Time recorded in UTC,2025-08-22T09:30:00Z,
+heart_rate,int,yes,Beats per minute,72,30-220
+spo2,int,yes,Oxygen % level,98,70-100
+resp_rate,int,no,Breaths per min,16,4-60
+temp,float,no,Body temp in Celsius,36.8,30-43
+systolic_bp,int,no,Top blood pressure value,118,60-260
+diastolic_bp,int,no,Bottom blood pressure value,76,30-160
+device,string,no,Device that logged the data,Fitbit,
+quality_flag,string,no,Data quality status,ok,ok|suspect|missing

AI Guardian/DataSchemas_WJ/raw_data/.ipynb_checkpoints/schema_wearable-checkpoint.csv

@@ -0,0 +1,11 @@
+field_name,type,required,description,example,range
+patient_id,string,yes,Unique ID for the patient,P001,
+timestamp,datetime,yes,Time recorded in UTC,2025-08-22T09:30:00Z,
+step_count,int,no,Steps counted in interval,120,0-50000
+activity_level,string,no,Activity intensity,light,sedentary|light|moderate|intense
+accel_x,float,no,Acceleration X-axis,0.12,
+accel_y,float,no,Acceleration Y-axis,-0.03,
+accel_z,float,no,Acceleration Z-axis,9.81,
+calories,float,no,Calories burned in interval,4.5,0-10000
+device,string,no,Device that logged the data,Apple Watch,
+quality_flag,string,no,Data quality status,ok,ok|suspect|missing

AI Guardian/DataSchemas_WJ/raw_data/sample_emotion.csv

@@ -0,0 +1,11 @@
+patient_id,timestamp,source,emotion,confidence,notes,model,privacy_tag
+P001,2000-01-01T09:00:00Z,face,neutral,0.91,,v1,normal
+P001,2000-01-01T09:05:00Z,voice,stressed,0.77,,v1,normal
+P001,2000-01-01T09:10:00Z,face,happy,0.85,,v1,normal
+P001,2000-01-01T09:15:00Z,voice,tired,0.66,,v1,normal
+P001,2000-01-01T09:20:00Z,face,angry,0.72,,v1,normal
+P002,2000-01-01T09:25:00Z,voice,neutral,0.88,,v1,normal
+P002,2000-01-01T09:30:00Z,face,surprise,0.79,,v1,normal
+P002,2000-01-01T09:35:00Z,voice,sad,0.81,,v1,normal
+P002,2000-01-01T09:40:00Z,face,happy,0.92,,v1,normal
+P002,2000-01-01T09:45:00Z,voice,stressed,0.84,,v1,normal

AI Guardian/DataSchemas_WJ/raw_data/sample_vital.csv

@@ -0,0 +1,21 @@
+patient_id,timestamp,heart_rate,spo2,resp_rate,temp,systolic_bp,diastolic_bp,device,quality_flag
+P001,2000-01-01T09:00:00Z,86,96,17,36.8,125,82,Fitbit,ok
+P001,2000-01-01T09:05:00Z,91,98,15,36.6,117,85,Fitbit,ok
+P001,2000-01-01T09:10:00Z,77,95,18,37.0,138,73,Fitbit,ok
+P001,2000-01-01T09:15:00Z,101,99,16,36.9,133,78,Fitbit,ok
+P001,2000-01-01T09:20:00Z,84,97,14,36.5,121,87,Fitbit,ok
+P001,2000-01-01T09:25:00Z,92,96,19,37.2,130,74,Fitbit,ok
+P001,2000-01-01T09:30:00Z,79,98,13,36.7,116,81,Fitbit,ok
+P001,2000-01-01T09:35:00Z,88,94,15,36.9,127,75,Fitbit,ok
+P001,2000-01-01T09:40:00Z,95,97,17,36.6,119,84,Fitbit,ok
+P001,2000-01-01T09:45:00Z,83,99,16,36.8,122,80,Fitbit,ok
+P002,2000-01-01T09:00:00Z,74,97,16,36.7,121,78,Apple Watch,ok
+P002,2000-01-01T09:05:00Z,88,96,14,36.8,118,82,Apple Watch,ok
+P002,2000-01-01T09:10:00Z,81,95,17,36.6,125,85,Apple Watch,ok
+P002,2000-01-01T09:15:00Z,90,98,15,36.9,119,76,Apple Watch,ok
+P002,2000-01-01T09:20:00Z,85,99,18,36.7,123,80,Apple Watch,ok
+P002,2000-01-01T09:25:00Z,93,96,16,36.8,127,83,Apple Watch,ok
+P002,2000-01-01T09:30:00Z,76,94,14,36.5,122,79,Apple Watch,ok
+P002,2000-01-01T09:35:00Z,89,97,17,36.9,124,81,Apple Watch,ok
+P002,2000-01-01T09:40:00Z,82,98,15,36.7,120,77,Apple Watch,ok
+P002,2000-01-01T09:45:00Z,87,95,16,36.6,126,84,Apple Watch,ok

AI Guardian/DataSchemas_WJ/raw_data/sample_wearable.csv

@@ -0,0 +1,21 @@
+patient_id,timestamp,step_count,activity_level,accel_x,accel_y,accel_z,calories,device,quality_flag
+P001,2000-01-01T09:00:00Z,0,sedentary,0.05,-0.01,9.77,1.5,Fitbit,ok
+P001,2000-01-01T09:05:00Z,45,light,0.10,0.03,9.85,2.3,Fitbit,ok
+P001,2000-01-01T09:10:00Z,120,moderate,0.08,0.02,9.70,3.8,Fitbit,ok
+P001,2000-01-01T09:15:00Z,230,intense,-0.12,0.04,9.92,5.6,Fitbit,ok
+P001,2000-01-01T09:20:00Z,60,light,0.02,-0.05,9.81,2.7,Fitbit,ok
+P001,2000-01-01T09:25:00Z,180,moderate,0.06,0.01,9.76,4.9,Fitbit,ok
+P001,2000-01-01T09:30:00Z,15,sedentary,-0.04,0.02,9.79,1.8,Fitbit,ok
+P001,2000-01-01T09:35:00Z,95,light,0.09,-0.03,9.88,3.2,Fitbit,ok
+P001,2000-01-01T09:40:00Z,310,intense,0.14,0.05,9.83,6.4,Fitbit,ok
+P001,2000-01-01T09:45:00Z,150,moderate,-0.08,0.06,9.74,4.2,Fitbit,ok
+P002,2000-01-01T09:00:00Z,20,light,0.04,0.01,9.79,2.0,Apple Watch,ok
+P002,2000-01-01T09:05:00Z,80,moderate,-0.06,0.02,9.82,3.1,Apple Watch,ok
+P002,2000-01-01T09:10:00Z,200,intense,0.11,-0.04,9.75,6.0,Apple Watch,ok
+P002,2000-01-01T09:15:00Z,35,light,0.02,0.00,9.80,2.4,Apple Watch,ok
+P002,2000-01-01T09:20:00Z,145,moderate,-0.05,0.03,9.84,4.7,Apple Watch,ok
+P002,2000-01-01T09:25:00Z,250,intense,0.13,-0.02,9.77,7.2,Apple Watch,ok
+P002,2000-01-01T09:30:00Z,10,sedentary,0.00,0.01,9.81,1.6,Apple Watch,ok
+P002,2000-01-01T09:35:00Z,95,light,0.07,-0.01,9.85,3.3,Apple Watch,ok
+P002,2000-01-01T09:40:00Z,310,intense,-0.09,0.04,9.78,6.5,Apple Watch,ok
+P002,2000-01-01T09:45:00Z,175,moderate,0.05,0.06,9.82,4.8,Apple Watch,ok

AI Guardian/DataSchemas_WJ/raw_data/schema_alert.csv

@@ -0,0 +1,10 @@
+field_name,type,required,description,example,range
+alert_id,string,yes,Unique alert ID,A-0001,
+patient_id,string,yes,Patient this alert is about,P001,
+timestamp,datetime,yes,Alert creation time,2025-08-22T10:00:00Z,
+alert_type,string,yes,Type of alert,tachycardia,tachycardia|hypoxia|fever|bradycardia|hypertension|hypotension|emotion_risk
+severity,string,yes,How serious it is,medium,low|medium|high|critical
+trigger_fields,string,no,Fields that triggered alert,"heart_rate,spo2",
+rule_id,string,no,Rule that caused alert,R-HEART-01,
+ack_status,string,no,If alert has been acknowledged,unread,unread|acknowledged|resolved
+notes,string,no,Free text for reviewer,Short run post-exercise,