1981
DOI: 10.1111/j.1475-097x.1981.tb00910.x
|View full text |Cite
|
Sign up to set email alerts
|

Conventional versus computer‐aided interpretation of long‐term ECG recordings–aspects of precision and economy

Abstract: In a sample of 60 12-h long-term ECG recordings we compared a computer-aided analysis method to a conventional scanning technique for diagnostic precision and time consumption. As regards diagnostic precision no significant difference between the methods could be found. Both were considered efficient in detecting episodes of arrhythmia. Using the computer-aided method a physician spent an average of 16 min on analyzing a recording and writing the diagnostic report. The conventional method required 69 min from … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

1982
1982
1982
1982

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 5 publications
(1 reference statement)
0
2
0
Order By: Relevance
“…Since the continuous-time signal is band limited, it is uniquely determined as (27) with R'(f) given by (23). For (28) should be evaluated for continuous k. The estimator could be implemented by using a number, P, of filters in parallel, ho(k), ho(k + l/P),-.. , ho(k + (P -1)/P).…”
Section: Estimator For Sampled Signals Corrupted With Colored Noisementioning
confidence: 99%
See 1 more Smart Citation
“…Since the continuous-time signal is band limited, it is uniquely determined as (27) with R'(f) given by (23). For (28) should be evaluated for continuous k. The estimator could be implemented by using a number, P, of filters in parallel, ho(k), ho(k + l/P),-.. , ho(k + (P -1)/P).…”
Section: Estimator For Sampled Signals Corrupted With Colored Noisementioning
confidence: 99%
“…RESULTS AND DISCUSSION Clinical experience from about 600 12-h recordings, and a study of the performance of our monitoring system as a whole indicate that the QRS detector works well in the clinical routine [23]. The performance of the detector has preliminarily been evaluated for a material consisting of several ECG's from different patients [21], [22].…”
Section: Computational Considerationsmentioning
confidence: 99%