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kunalkeshan/PCG-Signal-Analysis-With-Adaptive-Filtering

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This project implements an adaptive filtering technique for Phonocardiogram (PCG) signal analysis. PCG signals are recordings of heart sounds, which provide critical information about the heart's mechanical activity. However, these signals are often contaminated with noise from various sources, making accurate analysis challenging.

active 2024-09-14 → 2025-12-27 (UTC)

Complete coverage28,518 / 28,518 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-15 (UTC)
Events
178
Pushes
60
Pull requests
24
Issues
57
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 470 days from 2024-09-14 to 2025-12-27. Pushes: 60 total, peak 12 in a day. Pull requests: 24 total, peak 10 in a day. Issues: 57 total, peak 26 in a day. Comments: 12 total, peak 5 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
kunalkeshan13859201
vercel[bot]110011
Copilot5140

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.