Literature DB >> 1272091

The prediction of the impedance of the thorax to defibrillating current.

L A Geddes, W A Tacker, W Schoenlein, M Minton, S Grubbs, P Wilcox.   

Abstract

In this paper a technique for predicting thoracic impedance to defibrillator pulses is described. The impedance to low-current (1.0 mA) high-frequency (10-500kHz) sinusoidal current is used as an indicator of the impedance of the thorax to high-current, damped sinusoidal waveform pulses. Results from 71 dogs to which defibrillator shocks of 4 to 220 A peak current were applied show that thoracic impedance can be predicted by this method. This information indicates that it is possible to design a defibrillator that can automatically measure chest impedance prior to a defibrillation shock and deliver a predetermined peak current to the subject.

Entities:  

Mesh:

Year:  1976        PMID: 1272091

Source DB:  PubMed          Journal:  Med Instrum        ISSN: 0090-6689


  5 in total

1.  Determinants of successful transthoracic defibrillation and outcome in ventricular fibrillation.

Authors:  G W Dalzell; A A Adgey
Journal:  Br Heart J       Date:  1991-06

2.  Ventricular defibrillation thresholds with capacitor discharge.

Authors:  M R Armayor; G Savino; M E Valentinuzzi; O E Clavin; J E Monzón; M T Arredondo
Journal:  Med Biol Eng Comput       Date:  1979-07       Impact factor: 2.602

3.  Relationship between canine transthoracic impedance and defibrillation threshold. Evidence for current-based defibrillation.

Authors:  B B Lerman; H R Halperin; J E Tsitlik; K Brin; C W Clark; O C Deale
Journal:  J Clin Invest       Date:  1987-09       Impact factor: 14.808

4.  Initial experience with a microprocessor controlled current based defibrillator.

Authors:  G W Dalzell; S R Cunningham; J Anderson; A A Adgey
Journal:  Br Heart J       Date:  1989-06

5.  A framework of current based defibrillation improves defibrillation efficacy of biphasic truncated exponential waveform in rabbits.

Authors:  Weiming Li; Jingru Li; Liang Wei; Jianjie Wang; Li Peng; Juan Wang; Changlin Yin; Yongqin Li
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

  5 in total

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