How ADID works

One wearable. One personal baseline. Continuous physiologic context, multi-category episode detection, and caregiver alerts when it matters — all flowing into a clinician portal for review.

1

Wear the smartwatch.

A Wear OS smartwatch (Pixel Watch and compatible devices) handles continuous physiologic sensing. Designed for all-day wear so monitoring isn’t interrupted by routine charging. The patient’s only job: put it on.

2

The phone app learns a personal baseline.

During the first days of wear, the ADID app builds a model of the individual’s normal autonomic pattern across time of day, activity, and rest. The Home screen shows the live status — including a “Setting baseline…” phase — and confirms the watch is connected and syncing.

ADID phone app home screen with 84 BPM, watch status, and Log AD Episode button.
3

Physiology is monitored continuously.

The Dashboard view shows continuous heart-rate trends over selectable time windows — 30 minutes, hour, day, week, month — with range and average stats. Behind the scenes, the raw signal is captured for episode analysis and clinician review.

ADID phone app dashboard showing heart rate trend graph and range/average statistics.
4

Episodes are detected and categorized.

When the physiologic signal deviates from baseline in a way consistent with an autonomic event, ADID records it — with a category label, a timestamp, and the surrounding window of context. Patients and caregivers can also log episodes manually, providing ground truth that improves detection over time.

⚠ AD episode Elevated trend Baseline drift
ADID phone app showing detected AD episodes listed by date.
5

Each event carries a confidence score.

Detection isn’t binary. Every flagged event arrives with a likelihood and confidence percentage, so clinicians can prioritize review by signal strength. High-confidence serious events surface first; lower-confidence patterns are still captured for trend review.

High-confidence AD event — May 8
92%
Elevated trend — May 6
68%
6

Caregivers are alerted when the event is serious.

For high-confidence severe or high-risk episodes, ADID can deliver real-time alerts to designated caregivers — configured per patient. Lower-severity events go to the record for later review, so caregivers aren’t pulled in for false alarms.

7

Clinicians review the full record.

Authorized care teams open the ADID portal at clinician.adid.app to see time-stamped episodes alongside continuous trend data. The visit moves from anecdote to evidence — especially valuable for telehealth and longitudinal SCI care.

Privacy and consent by design

Data is shared only with the clinical site the wearer authorizes. Caregiver alerts go only to contacts the patient has explicitly added. Account & data deletion is supported on request — see the Privacy Policy and Account & Data Deletion page.

Free, by design

ADID is provided at no cost to veterans and people living with SCI worldwide. Pilots roll out in stages with SCI clinics, rehab centers, and individual participants. Reach us at info@adid.app.

Non-diagnostic, by design

ADID surfaces objective physiologic context and routes alerts. It does not diagnose autonomic dysreflexia or any other condition, and is not a substitute for emergency care or clinical judgment. If an episode is suspected, follow the response taught by your care team.