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Currently submitted to: JMIR mHealth and uHealth

Date Submitted: Mar 29, 2026
Open Peer Review Period: Apr 1, 2026 - May 27, 2026
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Wearable Heart Rate Variability-Derived Passive Biomarkers for Cancer Symptom Screening in Hospitalized Patients: Prospective Observational Study

  • Shu-Chun Tsai; 
  • Chi-Yu Lu; 
  • Chia-Lun Chang; 
  • Mei-Fen Tang; 
  • Made Satya Nugraha Gautama; 
  • Tsai-Wei Huang

ABSTRACT

Background:

Cancer-related fatigue (CRF) affects 60–90% of cancer patients yet remains underreported. Heart rate variability (HRV) via wearable devices offers passive symptom monitoring. Prior work showed strong LF/HF–fatigue correlation (ρ = 0.86) in lung cancer, but generalizability to multi-cancer populations is unknown.

Objective:

This study aimed to evaluate whether three complementary wearable HRV-derived metrics—night LF/HF mean (autonomic level), LF/HF SD (autonomic instability), and the sleep-phase disorder ratio (episodic dysregulation)—can screen for multiple cancer symptoms in hospitalized patients with mixed cancer types.

Methods:

Forty-six hospitalized cancer patients (lung 28%, colorectal 22%, breast 13%, other 37%) wore PPG-based smart wristbands continuously while completing the Brief Fatigue Inventory (BFI), Edmonton Symptom Assessment System (ESAS), and Pittsburgh Sleep Quality Index (PSQI). Three HRV-derived metrics were examined: night LF/HF mean (autonomic level), LF/HF standard deviation (SD; autonomic instability), and the sleep-phase LF/HF disorder ratio (DR; episodic dysregulation).

Results:

The disorder ratio yielded nearly double the significant correlations of conventional HRV (28.6% vs. 15.1%). For breathlessness ≥ 4, night LF/HF achieved AUC = 0.868 (100% sensitivity). In combined models controlling for mean LF/HF, LF/HF SD was the only metric to independently predict BFI Total (P=.048) and ESAS Fatigue (P=.049). Night LF/HF and DR predicted somatic symptoms; LF/HF SD uniquely predicted fatigue.

Conclusions:

The complementary three-metric framework—level, instability, and episodic dysregulation—captures distinct symptom pathways and extends the LF/HF–fatigue relationship to heterogeneous cancer populations. Clinical Trial: N/A


 Citation

Please cite as:

Tsai SC, Lu CY, Chang CL, Tang MF, Gautama MSN, Huang TW

Wearable Heart Rate Variability-Derived Passive Biomarkers for Cancer Symptom Screening in Hospitalized Patients: Prospective Observational Study

JMIR Preprints. 29/03/2026:96462

DOI: 10.2196/preprints.96462

URL: https://preprints.jmir.org/preprint/96462

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