See which changes repeat.
Simulated example
Imagine someone who is already managing high blood pressure. A shared record of overnight pulse and breathing gives their care team the same dates to review, alongside symptoms and readings from a home blood pressure cuff.
- Nights in profile
- 28
- Nights recorded
- 24
- Comparable nights
- 17
Overnight readings
Compared with this person’s usual range on similar nights.
| Signal | One night in week 3 |
|---|---|
| Overnight pulse Ear sensing concept | Above usual |
| Breathing variation Ear sensing concept | Above usual |
Both signals changed on this night. Look across four weeks to see whether they changed together again.
| Signal | Week 1 | Week 2 | Week 3 | Week 4 |
|---|---|---|---|---|
| Overnight pulse Ear sensing concept | Usual | Usual | Above usual | Above usual |
| Breathing variation Ear sensing concept | Usual | Limited data | Above usual | Above usual |
Pulse and breathing changed on several of the same nights in weeks 3 and 4. Poor fit left gaps in the breathing record in week 2.
Select a reading to see its source and the time it covers.
- Source
- Coverage and quality
One health history, several clinical perspectives
See how the agents weigh the same evidence and prepare one brief for the person’s clinician.
Primary care physician
Did the pattern start around a change in medication, symptoms or routine?
Cardiologist
Do the pulse changes line up with symptoms or with blood pressure readings shared from a home cuff?
Sleep medicine physician
Does the recurring breathing pattern, alongside the person’s sleep history, warrant a sleep evaluation?
Synseer Health Council · Simulated review
In this example, the person has invited three AI health agents to review selected readings.
- What remains open
- Question for the clinician
Explore four more clinical perspectives
- Pulmonology
- Compare when breathing changes occur at rest, during activity or during sleep, alongside symptoms and clinical respiratory measurements.
- ENT and audiology
- Review recurring listening difficulties by environment alongside formal hearing tests.
- Neurology and clinical neurophysiology
- In a research setting, study whether investigational ear EEG adds information alongside sleep and movement.
- Geriatrics
- Look at changes in daily activity and mobility alongside reported fatigue, dizziness or medication changes.
- Published sensing evidence
- MindMics studies compared infrasonic heart rate and beat-to-beat timing with ECG. See the evidence
- In development
- Synseer is building the profile to align signals over time and account for fit, activity and signal quality.
- Research question
- Can combining signals flag a defined outcome earlier or more reliably than an individual signal?
