WALTER

WALTER is a browser-based Heart Rate Variability analysis tool for undergraduate psychology students. It reads CSV files produced by the HARVEY recorder (including Harvey Duo pairs) and computes time-domain and frequency-domain HRV metrics directly in the browser — no data is ever sent to a server.

• Time-domain metrics: RMSSD, SDNN, pNN50, mean RR, mean HR.
• Frequency-domain metrics: LF, HF, LF/HF (via FFT, Task Force 1996 bands).
• Poincaré analysis: SD1, SD2, SD1/SD2 ratio, with identity line and ellipse.
• Duo synchrony: Pearson r between paired participants per phase.
• SPSS-ready CSV export and APA7 methods/results draft generation.

ℹ All data, including demographics, is processed entirely in your browser. Nothing is sent to any server.

Repository: github.com/kyooblume/walter
Licence: MIT (see LICENSE file).
Version: 1.1.0