Simultaneous two channel frequency analyzer with non-electronic (passive) filters

Meister, Melvin; Schwab, Robert S.; Petersen, Elizabeth; Grass, Albert M.

doi:10.1016/0013-4694(59)90063-x

Electroencephalography and Clinical Neurophysiology

1959

DOI: 10.1016/0013-4694(59)90063-x

|View full text |Cite

Simultaneous two channel frequency analyzer with non-electronic (passive) filters

Melvin Meister

Robert S. Schwab

Elizabeth Petersen

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

1962

1973

Publication Types

Select...

Article6

Relationship

Self Cite0

Independent6

Authors

Journals

Cited by 8 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each sample included 4 simultaneous bipolar tracings. All tape-recorded samples were played back serially through the same filters, of the type described by Meister et al (1959). The filter output, after halfwave rectification, was amplified and led to a Grass electronic integrator.…”

mentioning

confidence: 99%

Human neonatal EEG: Frequency analysis of awake and asleep samples from four areas

Bartoshuk

1964

Psychon Sci

View full text Add to dashboard Cite

AbstraetAsleep samples had more slow (0.8-3.0 cps) and less fast (13-32 cps) activity than low voltage awake samples. Abundance of intermediate frequencies (1.4-6.0 cps) was higher in frontal-precentral than parietal-occipital EEGs; this is consistent with greater neural maturation of precentral gyrus (Conel, 1939). Present results suggest possible quantitative indices of activation level and neural maturation for behavioral studies. ProblemQuantitative studies of the energy spectrum in human neonatal EEGs are few; apparently none have employed electronic frequency analysis together with statistical evaluation to study changes in the energy spectrum as a function of electrode location and sleep-wakefulness. Such data may aid relating EEGs to differential maturation of underlying neural structures, and provide quantitative indices of cortical maturation and general excitatory state for behavioral studies.Per cent times of various frequencies have been estimated from intervals between baseline crossings (Bartoshuk & Tennant, 1964). Results showed reliably more slow activity (0.3-2.0 cps) in asleep than awake samples, and higher percentages of intermediate frequencies (1.4-8.3 cps) in frontal-precentral (FPc) than parietal-occipital (PO) tracings.In this study, the more rigorous method of electronic frequency analysis (Walter, 1963) was used to investigate differences between awake and asleep samples, and between FPc and PO tracings. MethodSs were 17 full-term human newborns at the Providence Lying In Hospital. Median age was 85 hr.Electrode placements were identical with those described earlier (Bartoshuk & Tennant, 1964). Bipolar tracings were recorded on a Grass Model 6 EEG at a sensitivity of 50 microvolts per cm and a time constant of 0.12; the high frequency response was down 20% at 70 cps. These EEGs were recorded on FM tape with an Ampex SP-300 at a tape speed of 3.75 ips. Continuous recordings were also taken of the EKG and stabilimeter activity. Fifty-second samples for frequency analysis were selected from artifact-free segments of the EEG at times when no movements could be observed on the stabilimeter record. A special anterior lead provided a tracing which permitted exclusion of eye movements and blinks. Criteria for selecting awake and asleep samples were those used in the earlier study (Bartoshuk & Tennant, 1964) which provides illustrative primary tracings from 12 Ss. The 17 Ss had acceptable samples of sleep but only 14 had acceptable samples of wakeful-l\yclwn.

show abstract

mentioning

confidence: 99%

Human neonatal EEG: Frequency analysis of awake and asleep samples from four areas

Bartoshuk

1964

Psychon Sci

View full text Add to dashboard Cite

show abstract

Narrow-band filter techniques for the detection and measurement of evoked responses

Fricker

1962

Electroencephalography and Clinical Neurophysiology

View full text Add to dashboard Cite

An improved Hi-Q bandpass filter for electroencephalography

Lowenberg

McCullough

1963

Electroencephalography and Clinical Neurophysiology

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Simultaneous two channel frequency analyzer with non-electronic (passive) filters

Cited by 8 publications

References 8 publications

Human neonatal EEG: Frequency analysis of awake and asleep samples from four areas

Human neonatal EEG: Frequency analysis of awake and asleep samples from four areas

Narrow-band filter techniques for the detection and measurement of evoked responses

An improved Hi-Q bandpass filter for electroencephalography

Contact Info

Product

Resources

About