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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Riot, V. Coffee, K. Gard, E. Fergenson, D. Ramani, S. Steele, P. |
| Copyright Year | 2006 |
| Description | Author affiliation: Lawrence Livermore Nat. Lab., CA (Riot, V.; Coffee, K.; Gard, E.; Fergenson, D.; Ramani, S.; Steele, P.) |
| Abstract | The bio-aerosol mass spectrometry (BAMS) instrument analyzes single aerosol particles using a dual-polarity time-of-flight mass spectrometer recording simultaneously spectra of thirty to a hundred thousand points on each polarity. We describe here a real-time pattern recognition algorithm developed at Lawrence Livermore National Laboratory that has been implemented on a nine digital signal processor (DSP) system from Signatec Incorporated. The algorithm first pre-processes independently the raw time-of-flight data through an adaptive baseline removal routine. The next step consists of a polarity dependent calibration to a mass-to-charge representation, reducing the data to about five hundred to a thousand channels per polarity. The last step is the identification step using a pattern recognition algorithm based on a library of known particle signatures including threat agents and background particles. The identification step includes integrating the two polarities for a final identification determination using a score-based rule tree. This algorithm, operating on multiple channels per-polarity and multiple polarities, is well suited for parallel real-time processing. It has been implemented on the PMP8A from Signatec Incorporated, which is a computer based board that can interface directly to the two one-Giga-sample digitizers (PDA1000 from Signatec Incorporated) used to record the two polarities of time-of-flight data. By using optimized data separation, pipelining, and parallel processing across the nine DSPs it is possible to achieve a processing speed of up to a thousand particles per seconds, while maintaining the recognition rate observed on a non-real time implementation. This embedded system has allowed the BAMS technology to improve its throughput and therefore its sensitivity while maintaining a large dynamic range (number of channels and two polarities) thus maintaining the systems specificity for bio-detection |
| Starting Page | 98 |
| Ending Page | 101 |
| File Size | 121988 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424403081 |
| DOI | 10.1109/SAM.2006.1706099 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pattern recognition Signal processing algorithms Mass spectroscopy Magnesium compounds Digital signal processing Instruments Aerosols Real time systems Laboratories Digital signal processors |
| Content Type | Text |
| Resource Type | Article |
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