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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Analysis Method

Model-Free Spectral
Uses a published, peer-documented algorithm - no assumptions about signal type required. Works on EEG, vibration, financial, and any single-channel time series.

Output Format

Anchor Score + PDF + CSV
Every delivery includes a 0-1 anchor score, peak frequencies (f1, f2), a PDF summary report, and a CSV with raw numeric results.

Validated Performance

Peer-Documented
Method validated on synthetic signals, LIGO detector data, and a 24-subject EEG dataset (p=0.034). Five conventional methods showed no significant result on the same data.

Best For

EEG, Vibration, Finance
Ideal for researchers and engineers who need to detect two distinct oscillatory modes in a signal - where standard PSD or entropy methods are insufficient.

What You'll Receive

Formats:
Digital Files
Written Report
Spreadsheet
Delivery Method:
Order Manager
Notes: Each delivery includes: - A PDF analysis report with anchor score (0-1), peak frequencies, and summary statistics - A CSV file with per-file or per-window results - 1 round of follow-up questions (2 rounds for Pro, 3 rounds for Enterprise) Delivery is via the Zinn Hub order manager. No source code is provided. The algorithm and its parameter settings are retained as a commercial asset. Client data is processed locally and never shared with any third party.

Full Description

## Bimodal Spectral Analysis for Single-Channel Time Series

I provide a model-free analysis service that detects **bimodal spectral structure** — two frequency peaks separated by a valley — in single-channel time series. The method is based on a published preprint (DOI: 10.5281/zenodo.22850972).

Most standard methods (power spectral density, coefficient of variation, sample entropy, coherence) only measure total power, stability, or coupling. They do NOT detect whether a signal contains two distinct oscillatory modes separated by a valley. This service fills that gap.

### What you get

- **Anchor score** (0–1): a single number indicating how strongly bimodal structure is present
- **Peak frequencies** (f1, f2) in Hz
- **Full analysis report** (PDF)
- Optional: batch analysis for multiple channels or multiple files

### What we do NOT provide

- Algorithm source code
- Exact parameter values
- Tuning methods or implementation details

The core algorithm and its parameter settings are retained as a commercial asset. Only the analysis results are delivered.

### Validated performance

- **Synthetic signals**: correctly separates single-peak, bimodal, and noise
- **LIGO O1/O4c1 detector data**: no false positives on broadband noise
- **24-subject meditation EEG dataset** (OpenNeuro ds001787):
- Expert vs novice group difference: p = 0.034
- Five conventional methods (theta power, CV, sample entropy, coherence, naive peak counting) were **not** significant (all p > 0.2)
- Cross-validation across parameters, frequency bands, window lengths, and channel subsets confirmed stability

### Input requirements

- Single-channel time series in CSV format (one column of values)
- Sampling rate (Hz)
- Frequency band of interest (e.g., 3–8 Hz, 50–80 Hz, etc.)

### Delivery time

- Single analysis: within 24 hours
- Batch analysis (10+ files): 3–5 business days

### Potential applications

- **EEG / neuroscience**: meditation research, sleep staging, anesthesia monitoring, neurological disorder detection
- **Mechanical engineering**: vibration monitoring, fault detection, rotating machinery
- **Finance / economics**: regime shift detection, cyclical component analysis
- **Any single-channel time series** where two frequency components carry information

### Pricing

- Single analysis (1 file): $80 USD
- Batch analysis (10+ files): from $600 USD
- Long-term collaboration / API integration: contact for quote

### Contact

ORCID: 0009-0008-4540-1381
[Your email or preferred contact method]

### Disclaimer

This service provides data analysis results only. It does not constitute medical diagnosis, financial advice, or investment recommendation. Results are for research and informational purposes.

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Compare Packages

特色BasicProEnterprise
Delivery Time3 days5 days10 days
Revisions123
1 single-channel time series file analyzed✓✕✕
Anchor score (0-1)✓✕✕
Peak frequencies (f1, f2)✓✕✕
PDF analysis report✓✕✕
1 round of follow-up questions✓✕✕
Up to 10 files analyzed✕✓✕
Anchor score (0-1) per file✕✓✕
Peak frequencies (f1, f2) per file✕✓✕
Cross-file comparison table✕✓✕
PDF report with summary statistics✕✓✕
2 rounds of follow-up questions✕✓✕
30+ files or continuous time series✕✕✓
Anchor score (0-1) per file or per window✕✕✓
Custom frequency band configuration✕✕✓
Batch comparison and trend detection✕✕✓
API integration support (client-side only)✕✕✓
Delivery in JSON / CSV / PDF✕✕✓
3 rounds of follow-up questions✕✕✓
Optional monthly monitoring subscription✕✕✓

Extra Information

How it works

Step 1: You provide data:Upload a single-channel time series as a CSV file with one column of numeric values. Specify the sampling rate in Hz and the frequency band of interest.
Step 2: I run the analysis:The analysis runs on my local system. Your data is never shared with any third party. The method is a published, peer-documented algorithm (DOI: 10.5281/zenodo.22850972).
Step 3: You receive results:You receive a PDF report with the anchor score, peak frequencies, and summary statistics, plus a CSV with the raw numbers. Follow-up questions are included per package.

Service Details

Service Type
Standard
Zinner Type
Freelancer
Availability
Weekdays & Weekends
Seller's Country
China
Languages Accepted
All Languages Accepted
NDA available
Yes
Project Sizes Handled
Small To Medium
Response time
Within 24 hours
Years of Experience
1

Frequently Asked Questions

No. The analysis is provided as a service. The algorithm and its parameter settings are retained as a commercial asset. You will receive analysis results, not source code.

A single-column CSV file with numeric values. Please specify the sampling rate in Hz and the frequency band of interest. If your data is in another format (Excel, txt, bdf), message me before ordering.

Single-file analysis: within 3 days. Batch analysis (10+ files): 3-5 business days. Enterprise (30+ files or continuous data): up to 10 days. Express delivery is available as an add-on.

Standard methods (power spectral density, coefficient of variation, sample entropy, coherence) measure total power, stability, or coupling. They do not detect whether a signal contains two frequency peaks separated by a valley. This metric specifically quantifies that structure, outputting a 0-1 anchor score. It is orthogonal to conventional methods and can be used alongside them.

Refunds are available if the analysis cannot be completed due to data format issues. Once the report is delivered, refunds are not available. If you are unsure whether your data is suitable, message me before ordering.

Yes. You may use the analysis results in academic publications. Please cite the underlying method: Ou, Q. (2026). Detecting Bimodal Spectral Structure in Single-Channel Time Series. Zenodo. DOI: 10.5281/zenodo.22850972.

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