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Paper

WearICG: Towards A Wearable Approach to Continuous Stroke Volume Monitoring

Vignesh Ravichandran, A. Balaji, Andrea Ferlini, K. Mankodiya, Alessandro Montanari, A. Thangarajan
ISWC '262026ICGECG
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Published articlePublication date: Oct 10, 2026Added to atlas: Oct 12, 2026Source
Citations0Crossref referencesChecked Oct 16, 2026
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Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.

WearICG tests whether impedance cardiography electrodes placed only on the chest can estimate stroke volume, which would suit a chest patch. Three chest-only layouts were compared with the standard neck-thorax layout in 17 participants across 5 hemodynamic states, against an FDA-cleared continuous blood pressure reference. The Inline-Chest layout tracked the standard with r = 0.91, and a simple bias correction raised stroke-volume correlation from 0.44 to 0.74.

  • Signals: ICG, ECG
  • Reference: BIOPAC NIBP100D continuous NIBP
  • Result: Inline-Chest vs neck-thorax r = 0.91 ± 0.07
  • Code: open evaluation code
At a glance
Venue
ISWC '26 (ACM International Symposium on Wearable Computers), published 2026-10-10
Published
2026
DOI
10.1145/3830727.3834832 (opens in a new tab)
arXiv
Not reported
PMID
Not reported
Licence
Not reported
Signals
ICGECG
Form factor
Not reported
Subjects
17 participants, 5 hemodynamic states
Code
Not reported
Added
Oct 12, 2026

Abstract

Wearable devices have made continuous monitoring of basic vitals such as Heart Rate (HR), Heart Rate Variability (HRV), oxygen saturation (SpO2), single-lead electrocardiogram (ECG) routine, but the advanced hemodynamic markers needed to anticipate cardiovascular events remain confined to the clinic. Stroke Volume (SV) is among the most actionable of these markers: it is a leading indicator of acute hemodynamic decline that frequently drops before heart rate compensates, yet it is not directly accessible from photoplethysmography (PPG) or ECG. Impedance Cardiography (ICG) is the principal non-invasive electrical modality that captures central thoracic volume change, but its standard neck–thorax electrode geometry is incompatible with a chest-patch form factor. We present WearICG, a paired within-subject evaluation of chest-only ICG for SV estimation. Three chest-only electrode configurations are systematically compared against the standard neck–thorax reference, and SV estimation is validated against an FDA-cleared continuous Non-Invasive Blood Pressure (NIBP) reference (BIOPAC NIBP100D) across 17 participants and 5 hemodynamic perturbation states. The Inline-Chest configuration tracks neck–thorax with r = 0.91 ± 0.07. Following a short per-(subject, site) reference calibration at fit time, a mean-bias correction adapts classical Bernstein-family SV equations to chest geometry, raising the SV correlation against reference from r = 0.44 to r = 0.74. Together with the open evaluation code, these results establish a reproducible baseline for placement-aware modelling of chest-only ICG in next-generation cardiac patches.

Verbatim fromSemantic Scholar· Abstract via Semantic Scholar; © the authors/publisher

WearICG: Towards A Wearable Approach to Continuous Stroke Volume Monitoring: ChatPPG research summary card

Key results

0.91
R
The Inline-Chest layout tracked the standard with r = 0.91, and a simple bias correction raised stroke-volume correlation from 0.44 to 0.74.

How it works

How Method works: Setup → Method → ResultSetup: Cohort (17 participants, 5 hemodynamic states); Signals (ICG, ECG). Method: Method. Result: Result (Inline-Chest vs neck-thorax r = 0.91 ± 0.07).SetupCohort: 17 participants, 5 hemodynamic statesCohort17 participants, 5 hemodynamic statesSignals: ICG, ECGSignalsICG, ECGMethodMethodResultResult: Inline-Chest vs neck-thorax r = 0.91 ± 0.07ResultInline-Chest vs neck-thorax r = 0.91 ±…
Cohort
17 participants, 5 hemodynamic states

Cite

@article{wearicgchestonlyicgstrok2026,
  title = {{WearICG: Towards A Wearable Approach to Continuous Stroke Volume Monitoring}},
  author = {Vignesh Ravichandran and A. Balaji and Andrea Ferlini and K. Mankodiya and Alessandro Montanari and A. Thangarajan},
  year = {2026},
  journal = {ISWC '26 (ACM International Symposium on Wearable Computers), published 2026-10-10},
  doi = {10.1145/3830727.3834832}
}

History

  1. Added to the ChatPPG research hub

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