Try RhythmIQ.Health Today
RhythmIQ.Health is a digital mental health platform designed to help patients and care teams monitor changes in daily rhythms, biometrics, phone-derived behavioral signals, and guided check-ins over time. By building individualized baselines and organizing these data into structured, clinician-usable summaries, our app supports earlier awareness, longitudinal monitoring, and care coordination for bipolar and related mood disorders.
Biometrics · AI · Shared insight
How RhythmIQ.Health turns your data into support
Explore how biometric trends, AI-driven pattern recognition, and a connected support network can work together to help you and your care team stay ahead of mood shifts.
Foundations
Biometrics in Mental Health
Biometrics involves the measurement and analysis of biological data and is commonly used in health monitoring for various physical conditions. Recent advances now make it possible to apply biometric tracking to mental health care, particularly for mood disorders such as bipolar disorder.
- Continuously observed trends instead of one-time snapshots.
- Signals framed in a way that can support clinical conversations.
Biometrics Used To Your Advantage
Imagine a world where you no longer have to second guess yourself. By organizing your opt-in biometric and behavioral metrics into clear trend views and drift indicators, the system helps you and your care team observe meaningful changes over time without relying on guesswork. With your data as the objective reference point, machine learning models can learn your personal baseline and highlight subtle deviations that may warrant attention, including early patterns that can precede manic or hypomanic shifts. These insights are designed to support clinical review not replace it, so you can discuss potential triggers, refine your care plan, and take earlier, more informed steps toward long term stability.
Blood Oxygen Levels
Changes in blood oxygen saturation and breathing patterns can provide supportive wellness context when reviewed with sleep, activity, symptoms, and licensed clinician guidance.
Heart Rate Variability
Can provide supportive context around recovery, stress load, sleep, activity, medication changes, and general physiology. Trends should be reviewed with other logs and clinician judgment.
Sleep Patterns and Quality
Sleep timing, duration, and fragmented sleep patterns can help users and care teams review routine changes over time. These patterns are supportive context for clinician-guided conversations.
Camera-Based Check-Ins
Opt-in camera check-ins can help organize visual-signal quality context such as lighting, frame clarity, and face visibility. These features support care conversations and do not diagnose emotion or replace clinical review.
Communication Patterns
Shifts in communication patterns, such as timing, frequency, and response rhythm, can provide social-routine context when users opt in. These summaries support conversations and do not diagnose distress.
Routine & Medication Tracking
Routine and medication tracking can help users organize reminders, adherence, missed check-ins, and day-to-day rhythm changes. These patterns may support care-team review without replacing clinical judgment.
Get Early Access to the RhythmIQ.Health Android App
Start using the RhythmIQ.Health mobile app to track biometrics, mood patterns, and daily routines that may be relevant for bipolar disorder, cyclothymia, schizophrenia, psychosis, anxiety, and depression. Signing up takes only a minute, and if you have questions about features, privacy, or telehealth integration, our support team is ready to help.
RhythmIQ.Health Education
Understanding Dynamic Personal Baselines
A visual walkthrough of how opt-in signals, quality checks, rolling rhythm windows, and supportive clinical context work together to help care teams understand meaningful change over time.
Account profiles · Shared insight · Permission scoped
Built for every role in the care circle
RhythmIQ.Health brings patients, family supporters, clinicians, and clinics into a clearer workflow. Each profile is designed around the same principle: surface useful context, respect consent, and support better conversations without replacing clinical judgment.
For patients
A clearer way to understand personal rhythm changes
Patients can use guided check-ins, mood tracking, journal entries, voice rhythm, text rhythm, camera-supported signals, biometrics, phone patterns, and medication context to build a more complete picture of daily life. The goal is not to label a person from a single data point, but to help them notice changes relative to their own usual baseline.
Personal baseline
Signals are organized around the patient’s own repeated patterns.
Daily reflection
Mood, journal, and guided entries add context to passive signals.
RhythmIQ.Health is designed as supportive care-coordination software. Educational profile views should frame insights as context for patients, families, clinicians, and clinics — not as standalone diagnosis, treatment, emergency decision-making, or replacement for licensed clinical judgment.