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Case Study S022
2017 Release

Tatinati 2014: Wavelet Peak Detection

Sahoo et al.

Quick Conclusion: Foundational technical work on multi-resolution analysis of cardiomechanical signals.


📊 Key Accuracy Metrics

MetricResult
MethodStationary Wavelet Transform (SWT)
UtilityEffective for multi-resolution signal denoising

🔍 Study Analysis

Objective & Population

Technical Development Study. Cohort: Healthy subjects (N=12).

What it Supports

The study supports the use of Wavelet transforms for non-stationary bio-signal analysis like SCG.

What it Does Not Support


🛠 Technical Context

  • DOI: N/A
  • Authors: Sahoo et al.
  • Confidence Tier: Supporting

Study Snapshot

Metadata Summary

Target Population

Healthy subjects

N

Sample Size

12 Subjects

Validated Metric

Stationary Wavelet Transform (SWT)

Critical Appraisal
supporting

Early validation of Wavelet analysis for SCG processing.