Computerized method for scoring of polygraphic sleep recordings

Gath, Isak; Bar-On, Ehud

doi:10.1016/0010-468x(80)90083-5

Cited by 49 publications

(18 citation statements)

References 12 publications

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“…In fact, the method provides a means to find new sleep classification schemes that may be more natural and objective. Gath and Bar-On [18] presented an example of fuzzy-clustering spectral features of a single channel EEG. Other than a qualitative description, there was no attempt to quantify performance.…”

Section: Discussionmentioning

confidence: 99%

“…Schaltenbrand et al [3] presented a neural network model of automatic staging with results ranging from 84.5% for normal group to 81.0% for insomniac group using 30-s epochs. Gath and Bar-On [18] presented the feasibility of a method based on fuzzy clustering of variable length segments. A similar clustering type study was presented using cat EEG in [19].…”

Section: Introductionmentioning

confidence: 99%

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Computer-assisted sleep staging

Agarwal

Gotman

2001

IEEE Trans. Biomed. Eng.

194

101

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Abstract-To address the subjectivity in manual scoring of polysomnograms, a computer-assisted sleep staging method is presented in this paper. The method uses the principles of segmentation and self-organization (clustering) based on primitive sleep-related features to find the pseudonatural stages present in the record. Sample epochs of these natural stages are presented to the user, who can classify them according to the Rechtschaffen and Kales (RK) or any other standard. The method then learns from these samples to complete the classification. This step allows the active participation of the operator in order to customize the staging to his/her preferences. The method was developed and tested using 12 records of varying types (normal, abnormal, male, female, varying age groups). Results showed an overall concurrence of 80.6% with manual scoring of 20-s epochs according to RK standard. The greatest amount of errors occurred in the identification of the highly transitional Stage 1, 54% of which was misclassified into neighboring stages 2 or Wake.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computer-assisted sleep staging

Agarwal

Gotman

2001

IEEE Trans. Biomed. Eng.

194

101

View full text Add to dashboard Cite

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“…For a more detailed description of the methods of data analysis the reader is referred to Gath & Bar-On (1980), Gath et al (1981, 1983.…”

Section: Discussionmentioning

confidence: 99%

Electrophysiological aspects of benzodiazepine antagonists, Ro 15‐1788 and Ro 15‐3505.

Gath¹,

Weidenfeld²,

Collins³

et al. 1984

Brit J Clinical Pharma

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The comparative action of two specific benzodiazepine antagonists, Ro 15‐1788 and Ro 15‐3505 was examined in six healthy volunteers. Medication was given i.v. in a double‐blind cross over pattern, and EEG was recorded throughout each experimental session. Ten minutes after the injection of one of the antagonists or placebo, midazolam was injected in incremental doses until first signs of drowsiness appeared in the EEG. The EEG was computer analyzed, using adaptive segmentation and time‐dependent clustering. Continuous power profiles for various frequency bands, as well as power ratios for the physiological frequency bands (e.g. sigma/alpha power ratio) were generated. It has been found that sigma/alpha power ratio was the most sensitive parameter detecting early effects of midazolam on the EEG signal, thus enabling a semi‐quantitative titration of the antagonists by midazolam. Ro 15‐1788 in doses of 5 mg i.v. was counteracted on average by 7.3 mg midazolam. From the EEG analysis it has been found that Ro 15‐3505 was at least 4‐5 times more potent than Ro 15‐1788.

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“…We have recently reported (Gath & Bar-On, 1980) a method for automatic analysis of sleep recordings, this method being implemented on a mini-computer and operated on-line. The advantages of this method are that it is adaptive, requiring very few predetermined parameters, it does not depend on supervised learning of the system, and besides generating the conventional hypnogram, the system can provide the user with signal features not available by the manual analysis.…”

Section: Introductionmentioning

confidence: 99%

Automatic scoring of polygraphic sleep recordings: midazolam in insomniacs.

Gath¹,

Bar-On²,

Rogowski³

et al. 1983

Brit J Clinical Pharma

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I Midazolam in doses of 0.21-0.46 mg/kg was given to four insomniacs for 27 days, and to a fifth insomniac for an additional 124 days, to assess its short, intermediate, long-term and long-standing efficacy. 2 Automatic analysis of the polygraphic sleep recordings was carried out employing real-time signal processing (based on linear prediction), and an off-line sequential fuzzy clustering. 3 Total sleep length did not vary significantly during medication, whereas other efficacy parameters such as sleep onset latency, wake time after sleep onset and number of nightly awakenings decreased significantly throughout the period of active medication. In one patient, midazolam was still effective after 151 days of administration. 4 The ultrashort action (probably 3-4 h) of midazolam could be demonstrated by the distribution of the efficacy parameters, dividing the night into 2-h periods, by the unchanged total sleep length during medication compared with baseline and by the lack of any subjective clinical symptoms of hangover. 5 The quantitative analysis of the signals showed that, although a decrease in the total amount of slow-wave sleep during long-term medication and withdrawal was detected, the total relative power in the delta band increased during drug administration. This was interpreted as redistribution of the delta activity during active medication. 6 A lengthening of REM sleep was found during active medication probably attributable to intranight rebound. This was not followed by any clinical symptom of clinical REM rebound.7 Midazolam would thus be indicated mainly in insomnic patients with difficulties in falling asleep, or having a pathological sleep pattern during the first half of the night.

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Computerized method for scoring of polygraphic sleep recordings

Cited by 49 publications

References 12 publications

Computer-assisted sleep staging

Computer-assisted sleep staging

Electrophysiological aspects of benzodiazepine antagonists, Ro 15‐1788 and Ro 15‐3505.

Automatic scoring of polygraphic sleep recordings: midazolam in insomniacs.

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