How do I interpret the nightly skin temperature deviation graphs in my wearable app to detect early signs of oncoming illness or overtraining?
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The searches the AI actually ran for this prompt.
SEED QUERY
How do I interpret the nightly skin temperature deviation graphs in my wearable app to detect early signs of oncoming illness or overtraining?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
wearable nocturnal skin temperature deviation illness infection baseline HRV resting heart rate evidence skin temperature limitations study Google ↗
overtraining syndrome signs recovery HRV resting heart rate consensus statement athletes Google ↗
- Detection and Monitoring of Viral Infections via Wearable Devices and Biometric Data · doi.org
- Across 211 Ring wearers, five biometric signals drift from personal baseline around a self-reported illness · ultrahuman.com
- Continuous Temperature Monitoring via Wearable Devices for Fever or Infection Management in Acute Care Hospitals: Scoping Review of Clinical Implementation and Data Analytics · pmc.ncbi.nlm.nih.gov
- How Ultrahuman Measures Skin Temperature Overnight · ultrahuman.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
wearable nocturnal skin temperature deviation illness infection baseline HRV resting heart rate evidence skin temperature limitations study OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
overtraining syndrome signs recovery HRV resting heart rate consensus statement athletes OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |