Overview
Palpitations are the subjective awareness of one's heartbeat, often described as rapid, pounding, fluttering, or irregular. While usually benign, they can indicate underlying arrhythmias or other cardiac conditions. This data type enables tracking of palpitation episodes for correlation with objective heart rhythm data.
Health Significance
- Arrhythmia Detection: May indicate atrial fibrillation, SVT, PVCs, or other rhythm disturbances
- Symptom-Rhythm Correlation: Critical for diagnosis when symptoms are intermittent
- Treatment Monitoring: Track response to antiarrhythmic medications or ablation procedures
- Trigger Identification: Identify caffeine, alcohol, stress, or other precipitants
- Quality of Life: Palpitations can cause significant anxiety and healthcare utilization
CRITICAL: Red Flags Requiring Immediate Evaluation
Call 911 or go to emergency room if palpitations occur with:
- Chest pain or pressure
- Shortness of breath
- Lightheadedness or fainting
- Loss of consciousness
- Severe weakness
- Confusion
- Palpitations lasting more than a few minutes without resolution
High-Risk Features:
- Palpitations during exertion
- Family history of sudden cardiac death
- Known structural heart disease
- Very rapid rate (>150 bpm)
- Associated syncope or near-syncope
Clinical Context
Common Benign Causes:
- Anxiety and panic attacks
- Caffeine or stimulant intake
- Dehydration
- Exercise
- Premature atrial or ventricular contractions (PACs/PVCs)
- Fever or illness
Cardiac Causes Requiring Evaluation:
- Atrial fibrillation or flutter
- Supraventricular tachycardia (SVT)
- Ventricular tachycardia
- Wolff-Parkinson-White syndrome
- Valvular heart disease
Other Medical Causes:
- Hyperthyroidism
- Anemia
- Hypoglycemia
- Electrolyte abnormalities
- Medication effects
Pattern Recognition
Tracking palpitations can reveal:
- Frequency and duration trends
- Time of day patterns
- Triggers (caffeine, alcohol, exercise, stress, sleep deprivation)
- Correlation with Apple Watch heart rate or irregular rhythm notifications
- Relationship to meals (postprandial)
- Positional triggers
- Response to treatment interventions
Integration with Objective Data
Combine symptom logging with:
- Apple Watch heart rate recordings during episodes
- Irregular rhythm notifications
- ECG recordings (Apple Watch Series 4+)
- Heart rate variability data
Caveats & Limitations
- Subjective perception varies widely
- Anxiety can cause palpitation awareness without arrhythmia
- Does not capture heart rate or rhythm during episode
- Episodes may be too brief to log or capture on ECG
- Cannot differentiate between arrhythmia types
- Retrospective logging may be inaccurate
- Requires correlation with objective monitoring for diagnosis
Related Metrics
HKCategoryTypeIdentifierSkippedHeartbeat
Related symptom; may co-occur or be confused
HKCategoryTypeIdentifierShortnessOfBreath
Critical co-symptom suggesting cardiac significance
HKCategoryTypeIdentifierChestTightnessOrPain
Red flag symptom when combined with palpitations
HKCategoryTypeIdentifierDizziness
Suggests hemodynamic significance
HKCategoryTypeIdentifierFainting
Serious symptom requiring urgent evaluation
HeartRate
Objective rate data during symptom episodes
HKElectrocardiogramType
ECG recording for arrhythmia detection
HKCategoryTypeIdentifierIrregularHeartRhythmEvent
Apple Watch detected irregular rhythm events
HKCategoryTypeIdentifierHighHeartRateEvent
Apple Watch high heart rate notifications