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Standards and Technical Documents - Data Transforms For Spectral Analyses Of Heart Rate Variablity - BIOMED 2008
Description: Autoregressive and fast Fourier transform spectral analyses of high-frequency heart rate variability (HF-HRV) result in exponentially-distributed values that make standard parametric statistical analyses problematic. In this paper, we evaluate three transforms of raw HF-HRV spectral power. TwoShow More
Supplier: ABB Measurement & Analytics
Description: An important activity in the optimization of the HF alkylation process is the analysis of re-circulating acid. This is normally achieved by taking off-line samples and conducting laboratory analyses on a periodic basis. There are, however, a number of problems associated with this approach
- Spectrometer Type: Fourier Transform (FTIR)
- Display Options: Video Display
Description: efficiency,OROS 3-Series analyzers innovate in both hardware and software architectures.NVGate®, the OROS Noise and Vibration software platform, controls all the analyses and measurements carried out by OR38 as part of OR3X analyzers range, OR38 benefits from the innovative functions developed
- Mounting Type: Portable/Benchtop
- Analyzer Type: Instrument, PC-Based
- Test Type: Noise
- Analysis Type: Fast Fourier Transform (FFT)
Supplier: Scantek, Inc.
Description: The SC-30 is a user-friendly, type 1 integrating sound level meter. It can be used as either a sound level meter or as a spectrum analyser. The sound level meter mode is ideal for measuring overall sound pressure levels. The SC-30 measures all functions simultaneously with all the frequency
- Meter Style: Sound Level Meter
- Sound Level Measurement Modes: A-Weighted SPL (LA), C-Weighted SPL (LC), Z-Weighted SPL (LZ)
- Control Panel: Digital
- Display: Digital Readouts
Supplier: Allied Electronics, Inc.
Description: the Dual Waveform Math (DWM) and Fast Fourier Transform (FFT) functions (in the U1604A/U1604B model) to perform quick waveform analyses in both time and frequency domains. The built-in 6000 resolution count true RMS digital multimeter (DMM) comes with an auto-range feature that gives users the flexibility
- Bandwidth: 4.00E7 Hz
- Number of Input Channels: 2 (# channels)
- Features: Hand-held Unit, Integral Display
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Going Beyond the Instrument’s Resolution
. Through correlation over these long periods, the signal becomes detectable, even measurable. When the signal to be detected is made-up of pure tones, things are simpler and spectral analyses can readily be used to extract it. •. Spectral analysis: Usually this analysis is done using Fast-Fourier-Transforms (FFTs). In that case the template signals are long sinusoids at different frequencies between 0 and Fs/2. Individual power spectra are averaged over the whole analysis interval, providing... (read more)
Browse Vibration Measurement Instruments and Vibration Analyzers Datasheets for Convergence Instruments
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Effects of analysed signal duration and phase on the results of fast fourier transform analysis of the surface electrocardiogram in sub- jects with and without late potentials.
OSA | Pulsed quantum cascade laser-based CRDS substance detection: real-time detection of TNT
M. Mazurenka, R. Wada, A. J. L. Shillings, T. J. A. Butler, J. M. Beames, and A. J. Orr-Ewing, “ Fast fourier transform analysis in cavity ring-down spectroscopy: application to an optical detector for atmospheric NO2,” Appl. Phys. B81 …
OSA | A zero-crossing detection method applied to Doppler OCT
C.Â Di Mario, J. R. T. C.Â Roelandt, P.Â deJaegere, D. T.Â Linker, J.Â Oomen, and P. W.Â Serruys, "Limitations of the zero crossing detector in the analysis of intracoronary Doppler: A comparison with fast Fourier transform analysis of basal, hyperemic, and …
Location feasibility of degradation in cable through Fourier transform analysis of broadband impedance spectra
The difference in impedance between the damaged and sound cables is made clear by fast Fourier transform analyses , from which the damaged portion can be located.
Differences in collagen architecture between keloid, hypertrophic scar, normotrophic scar, and normal skin: An objective histopathological analysis
In 2002, Van Zuijlen et al.25 showed the possibility of performing accurate and reliable objective measurements of the collagen orientation in burn scars, using the fast fourier transform analysis .
Tuning the power spectrum of physiological finger tremor frequency with flickering light
Abstract Fast Fourier Transform analyses were performed on finger tremor movements at 0.2‐Hz intervals from 0.4 to 40 Hz in 10 human subjects, under a flickering light condition of 4–15 Hz and an unstimulated control condition.
Study of an efficient real-time monitoring and control system for BUE and cutter breakage for CNC machine tools
Fast Fourier Transform analysis will be applied to on-line analyze the .
Algorithm for sleep scoring in experimental animals based on fast Fourier transform power spectrum analysis of the electroencephalogram
Abstract We developed a simple computer‐based, sleep scoring algorithm that categorizes three vigilance states of rats and mice as wakefulness, rapid eye movement (REM) sleep and non‐rapid eye movement (NREM) sleep, based on fast Fourier transform analyses of an electroencephalogram (EEG) classified …
Analysis of polycyclic aromatic hydrocarbon sequences in a premixed laminar flame by on‐line time‐of‐flight mass spectrometry
Fast Fourier transform analysis .
Color Doppler‐enhanced Endoscopic Ultrasonographic Diagnosis of Upper Gastrointestinal Submucosal Lesions
For leiomyomatous tumors less than 5 cm including leiomysarcoma, the presence of turbulent, pulsatile flow, as demonstrated on fast Fourier transform analysis , was associated with a sensitivity of 100% (7/7) and a specificity of 77.8% (7/9).
Application of an adaptive neuro‐fuzzy inference system for classification of Behcet disease using the fast Fourier transform method
In this work, blood flow velocities (systole, diastole, RI, PI and SDR), calculated as a result of the fast Fourier transform analysis , are re- quired to generate ANFIS inputs.
Signals are processed for their frequency content (frequency domain) using fast Fourier transform analysis (FFTA) by analyzing all signals for higher sinusoidal components (harmonics) in relation to the sinusoidal component with the lowest frequency.
of consecutive periods of fibrillation were measured by fast fourier transform analysis offline (Bruel and Kjaer Speatrum Analyser).