I uncover hidden dual-peak oscillation signals that standard analysis often misses, and deliver a quantified anchor score plus peak frequencies from your continuous measurement data.
I Will Analyze Your Continuous Time Series Data for Hidden Dual-Peak Oscillations With a Quantified Anchor Score
Single-file analysis: anchor score, peak frequencies, PDF report.
- 1 single-channel time series file analyzed
- Anchor score (0-1)
- Peak frequencies (f1, f2)
- PDF analysis report
- 1 round of follow-up questions
Batch analysis of up to 10 files with comparison report.
- 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
Custom analysis for 30+ files, API integration, or long-term monitoring.
- 30+ files or continuous time series
- Anchor score (0-1) per file or per window
- Custom frequency band configuration
- Batch comparison and trend detection
- Custom output formats (JSON, CSV, Excel)
- Delivery in JSON / CSV / PDF
- 3 rounds of follow-up questions
- Optional monthly monitoring subscription
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
Analysis Method
Output Delivered
Validated On
Best For
What You'll Receive
Full Description
Bimodal Spectral Analysis for Single-Channel Data
I find hidden twin frequency peaks โ two separated oscillation peaks
with a valley between them โ inside your single-channel continuous
measurement data. This method comes from a published preprint
(DOI: 10.5281/zenodo.22850972).
Most common analysis tools only measure total signal strength,
stability, or coupling. They cannot tell you whether your data
contains two separate oscillatory modes divided by a valley.
This service fills that gap.
What you get
- Anchor score (0โ1): a single value showing how strong the
twin-peak structure is
- Peak frequencies (f1, f2) in Hz
- Full analysis PDF report
- Optional: batch analysis for multiple files
What we do NOT provide
- Algorithm source code
- Exact parameter values
- Tuning methods or implementation details
The core algorithm and parameter settings are retained as commercial
intellectual property. Only analysis results will be delivered.
Validated on
- Synthetic signals of known structure
- LIGO gravitational-wave detector data
- 24-subject meditation EEG dataset (OpenNeuro ds001787)
Cross-validation across parameters, frequency bands, window lengths,
and channel subsets confirmed stable performance.
Input requirements
- Single-channel data saved as CSV (one column of values)
- Sampling rate (Hz). A full automatic frequency scan will run across
your dataset; no predefined frequency band is required.
Delivery time
- Single file analysis: within 24 hours
- Batch analysis (10+ files): 3โ5 business days
Potential applications
- EEG / neuroscience: meditation, sleep, anesthesia, neurological research
- Mechanical engineering: vibration monitoring, equipment fault detection
- Finance / economics: cycle analysis, regime shift detection
- Any single-channel dataset where two frequency components carry
meaningful information
Pricing
- Single analysis (1 file): $80 USD
- Batch analysis (10+ files): starting from $600 USD
- Long-term collaboration: contact for custom quote
Contact
ORCID: 0009-0008-4540-1381
Disclaimer
This service provides data analysis results only. It is not medical
diagnosis, financial advice, or investment recommendation. Results
are for research and reference purposes.
Data privacy: All uploaded data is used only for your analysis task.
After delivering the report, your source data will be permanently
deleted within 7 days. Your data will never be shared, published,
or used for any other purpose.
Zinner Quality Guarantee
Every Zinner is reviewed and approved before joining the platform.
All services are backed by our quality assurance commitment.
Your payment is protected until you approve the delivered work.
Compare Packages
| ็น่ฒ | Basic | Pro | Enterprise |
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
| Revisions | 1 | 2 | 3 |
| 1 single-channel time series file analyzed | โ | โ | โ |
| Anchor score (0-1) | โ | โ | โ |
| Peak frequencies (f1, f2) | โ | โ | โ |
| PDF analysis report | โ | โ | โ |
| 1 round of follow-up questions | โ | โ | โ |
| Up to 10 files analyzed | โ | โ | โ |
| Anchor score (0-1) per file | โ | โ | โ |
| Peak frequencies (f1, f2) per file | โ | โ | โ |
| Cross-file comparison table | โ | โ | โ |
| PDF report with summary statistics | โ | โ | โ |
| 2 rounds of follow-up questions | โ | โ | โ |
| 30+ files or continuous time series | โ | โ | โ |
| Anchor score (0-1) per file or per window | โ | โ | โ |
| Custom frequency band configuration | โ | โ | โ |
| Batch comparison and trend detection | โ | โ | โ |
| API integration support (client-side only) | โ | โ | โ |
| Delivery in JSON / CSV / PDF | โ | โ | โ |
| 3 rounds of follow-up questions | โ | โ | โ |
| Optional monthly monitoring subscription | โ | โ | โ |
Extra Information
How it works
Service Details
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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