Subcutaneous implantable cardioverter‐defibrillator electrode fracture: Follow‐up, troubleshooting, and evaluation

Kella, Danesh; Stambler, Bruce S.

doi:10.1111/jce.14994

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…A challenging differential diagnosis is (partial) lead fracture, which may exhibit similar findings as described above. 10 Lead fractures early after implantation are unlikely, but the manufacturer has released an advisory 11 due to lead body fractures distal to the proximal sensing ring of the model 3501, which has recently been replaced by a reinforced model. 12 When programmed in primary vector, this failure mode will not cause non-physiologic artefacts but if the device is programmed in alternate vector and only the distal sense conductor is fractured, similar artefacts with normal impedances may be seen.…”

Section: How To Diagnose Sense-b-noisementioning

confidence: 99%

Sense-B-noise: an enigmatic cause for inappropriate shocks in subcutaneous implantable cardioverter defibrillators

et al. 2022

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Aims Subcutaneous implantable cardioverter defibrillators (S-ICDs) are well established. However, inappropriate shocks (IAS) remain a source of concern since S-ICDs offer very limited troubleshooting options. In our multicentre case series, we describe several patients who experienced IAS due to a previously unknown S-ICD system issue. Methods and results We observed six patients suffering from this novel IAS entity. The IAS occurred exclusively in primary or alternate S-ICD sensing vector configuration (therefore called ‘Sense-B-noise’). IAS were caused by non-physiologic oversensing episodes characterized by intermittent signal saturation, diminished QRS amplitudes, and disappearance of the artefacts after the IAS. Noise/oversensing could not be provoked by manipulation, X-ray did not show evidence for lead/header issues and impedance measurements were within normal limits. The pooled experience of our centres implies that up to ∼5% of S-ICDs may be affected. The underlying root cause was discussed extensively with the manufacturer but remains unknown and is under further investigation. Conclusion Sense-B-noise is a novel cause for IAS due to non-physiologic signal oversensing, arising from a previously unknown S-ICD system issue. Sense-B-noise may be suspected if episodes of signal saturation in primary or alternate vector configuration are present, oversensing cannot be provoked, and X-ray and electrical measurements appear normal. The issue can be resolved by reprogramming the device to secondary sensing vector.

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Section: How To Diagnose Sense-b-noisementioning

confidence: 99%

Sense-B-noise: an enigmatic cause for inappropriate shocks in subcutaneous implantable cardioverter defibrillators

et al. 2022

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“…Among them, ) (k g is the fault data of the satellite constellation system, that is, the coefficient of gain fault [11].…”

Section: Types Of Satellite Constellation Execution Failuresmentioning

confidence: 99%

Satellite Cluster Fault Diagnosis and Detection Analysis Based on Neural Network

2021

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Due to the frequent occurrence of spacecraft failures and accidents, it will cause personal injury and economic loss, and will have a huge impact on the aerospace industry. Therefore, it is necessary to enrich the research on satellite constellation fault diagnosis and detection technology. In order to solve the shortcomings of existing research on fault diagnosis and detection of satellite swarms, this paper discusses the neural network fault diagnosis technology, satellite swarm fault diagnosis method and the functional equation of satellite swarm execution fault types. The fault samples and parameter settings of the group fault diagnosis detection application are briefly introduced. In addition, the work design and calculation process of satellite swarm fault diagnosis and detection relying on neural network are discussed. Finally, the application of neural network in satellite swarm fault diagnosis and detection is subjected to experimental comparison and analysis of the correct rate of fault diagnosis. The experimental data show that the algorithm proposed in this paper and Although the correct rate of fault diagnosis of the other two types shows a downward trend after the failure rate of 10%, the correct rate of the neural network algorithm proposed in this paper is significantly better than the other two algorithms, and the algorithm in this paper is in 50% to 200% of the satellites. In the group failure rate, the correct rate of diagnosis is stable at about 96%, while the correct rate of the other two algorithms is gradually lower than 90%. Therefore, it is verified that the satellite group fault diagnosis and detection relying on neural network has high use value.

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Subcutaneous and Transvenous ICDs: an Update on Contemporary Questions and Controversies

2022

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Subcutaneous implantable cardioverter‐defibrillator electrode fracture: Follow‐up, troubleshooting, and evaluation

Cited by 3 publications

References 13 publications

Sense-B-noise: an enigmatic cause for inappropriate shocks in subcutaneous implantable cardioverter defibrillators

Sense-B-noise: an enigmatic cause for inappropriate shocks in subcutaneous implantable cardioverter defibrillators

Satellite Cluster Fault Diagnosis and Detection Analysis Based on Neural Network

Subcutaneous and Transvenous ICDs: an Update on Contemporary Questions and Controversies

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