History & Trends
Filtering Your Health Timeline
Learn how to filter your health history to focus on specific metrics and data types.
The "Health" sub-tab can contain a lot of information. To make it easier to find what you're looking for, you can filter the timeline to show only a single type of metric.
Why Use Filters?
Benefits of Filtering
Focus on what matters:
- View only the metrics you're currently tracking
- Eliminate noise from unused data types
- Compare entries of the same type easily
Faster navigation:
- Scroll through less data
- Find specific readings quickly
- Track progress for one metric
Better analysis:
- See patterns for individual metrics
- Compare values over time
- Identify trends more easily
How to Filter Your Timeline
Step 1: Navigate to the History tab and ensure the Health sub-tab is selected
Step 2: Tap the filter icon (⚙️) in the top right corner of the screen
Step 3: A "Filter by Type" sheet will appear, listing all available health metric categories
Step 4: Tap on a specific metric to filter your timeline
Step 5: The timeline now shows only entries for that metric
Available Filter Categories
Vitals & Heart
- Heart Rate — All heart rate readings (resting, active, average)
- Blood Pressure — Systolic and diastolic measurements
- Heart Rate Variability (HRV) — Nervous system balance indicator
- Respiratory Rate — Breaths per minute
- Oxygen Saturation — Blood oxygen percentage
- Body Temperature — Core temperature readings
Activity & Fitness
- Steps — Daily step counts and walking activity
- Active Calories — Energy burned through activity
- Exercise Minutes — Time spent in workout activities
- Distance — Walking, running, or cycling distance
- Flights Climbed — Stairs or elevation gained
- VO₂ Max — Cardiovascular fitness measurement
- Workouts — Recorded exercise sessions
Sleep
- Sleep Analysis — Sleep duration and quality
- Time in Bed — Total time spent in bed
- Sleep Stages — Deep, REM, and light sleep breakdown
Body Measurements
- Weight — Body weight over time
- Body Mass Index (BMI) — Calculated from height and weight
- Body Fat Percentage — Percentage of body mass that is fat
- Lean Body Mass — Non-fat body weight
- Height — Height measurements
Nutrition
- Water Intake — Daily hydration tracking
- Dietary Energy — Total calories consumed
- Protein — Grams of protein consumed
- Carbohydrates — Grams of carbs consumed
- Fat — Grams of fat consumed
- Fiber — Dietary fiber intake
- Sugar — Sugar consumption
Lab Results & Clinical
- Blood Glucose — Blood sugar levels
- Cholesterol — Total, LDL, HDL cholesterol
- Lab Results — Medical test results synced from healthcare providers
- Medications — Medication tracking data
- Allergies — Allergy information
Other
- Mindful Minutes — Time spent in meditation or mindfulness
- Stand Hours — Hours with at least 1 minute of standing
- UV Exposure — Sun exposure tracking
- Environmental Audio — Noise level exposure
Clearing Filters
Return to Full Timeline
Method 1: Via Filter Menu
Step 1: Tap the filter icon (⚙️) again
Step 2: Select "All Types" from the filter sheet
Step 3: The timeline returns to showing all health data
Method 2: Via Active Filter Badge
Step 1: Look for the highlighted filter icon (indicates active filter)
Step 2: Tap it to open the filter menu
Step 3: Select "All Types"
Filter Indicators
Active Filter Visual Cues
When a filter is active, you'll see:
Highlighted filter icon:
- The filter button appears in a different color
- Visual reminder that you're viewing filtered data
Category label:
- Shows which metric type is currently displayed
- Appears at the top of the timeline
Entry count:
- May show how many entries match the filter
- Helps you understand the data volume
Combining Filters with Search
Advanced Filtering
While filters focus on data types, you can also search within filtered results:
Step 1: Apply a filter (e.g., "Heart Rate")
Step 2: Use the search function to find specific entries
Step 3: Search by:
- Date or time
- Value range
- Notes or tags
- Source device
Tips for Effective Filtering
Common Use Cases
Track a specific goal:
- Filter to "Steps" to monitor walking progress
- Filter to "Weight" to track weight management
- Filter to "Sleep Analysis" to improve sleep
Monitor a condition:
- Filter to "Blood Pressure" for hypertension tracking
- Filter to "Blood Glucose" for diabetes management
- Filter to "Heart Rate" for cardiovascular health
Prepare for appointments:
- Filter to relevant metrics before doctor visits
- Export filtered data to share
- Review trends in specific areas
Filter Strategies
Single metric focus:
- Use when tracking a specific health goal
- Ideal for comparing day-to-day changes
- Best for detailed analysis
Category browsing:
- View all vitals together
- Compare related fitness metrics
- Get broader health picture
Rotate filters regularly:
- Check different metrics on different days
- Don't ignore less frequent measurements
- Maintain awareness of overall health
Saving Common Filters
Quick Access (Future Feature)
While not currently available, future versions may include:
- Favorite filters
- Custom filter combinations
- Quick filter shortcuts
- Named filter presets
Current workaround:
- Remember your most-used filters
- Access them quickly via the filter menu
- Use consistently for easier habit building
Filtering on Other Tabs
Meals Tab
The Meals tab has its own filtering options:
Filter by meal type:
- Breakfast
- Lunch
- Dinner
- Snacks
Filter by date range:
- Today
- This week
- This month
- Custom range
Check-ins Tab
The Check-ins tab can be filtered by:
Mood level:
- Positive check-ins
- Neutral check-ins
- Negative check-ins
Symptoms:
- Specific symptom types
- Severity levels
- Symptom combinations
Understanding Filtered Results
Data Completeness
When viewing filtered results, remember:
What you see:
- Only entries matching the selected filter
- Complete history for that data type
- All sources for that metric
What's hidden:
- All other health metrics
- Data from different categories
- Unrelated measurements
Why this matters:
- Filtered view is a subset, not the complete picture
- Always return to "All Types" for full context
- Don't draw conclusions from filtered data alone
Performance Benefits
Faster Loading
Filtering improves app performance:
Reduced data volume:
- Fewer entries to load and display
- Faster scrolling through timeline
- Quicker chart rendering
Targeted sync:
- May speed up data refresh
- More efficient data processing
- Better battery life
📊 Analysis Tip
When analyzing your health, start with the full timeline (All Types) to get context, then apply specific filters to dive deep into metrics of interest. This approach helps you see both the forest and the trees.
⚡ Quick Filter Tip
Create a mental "weekly rotation" of filters to check. For example: Monday - Heart health, Wednesday - Activity, Friday - Sleep. This ensures you regularly review all important health areas without feeling overwhelmed.