2022
DOI: 10.1016/j.cvdhj.2022.07.070
|View full text |Cite
|
Sign up to set email alerts
|

Detecting early physiologic changes through cardiac implantable electronic device data among patients with COVID-19

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…For patients with significant cardiac disease and/or arrhythmias, implantable electronic devices such as permanent pacemakers, defibrillators, and cardiac resynchronization therapy (CRT) devices can assist with maintaining baseline cardiac function for the patient and the avoidance of life-threatening outcomes [ 4 ]. Sensors within the devices can transmit patient data such as respiratory rate (RR), physical activity levels (based on vital sign values), short recordings of intracardial cardiograms, heart rate (HR), night-time pulse, temperature, a rapid-shallow-breathing-index, thoracic impedance, and heart-sounds [ 5 ]. In addition, there is an algorithm within the devices that can use multiple sensors to track trends and alert providers if worsening heart conditions are identified in the patient [ 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…For patients with significant cardiac disease and/or arrhythmias, implantable electronic devices such as permanent pacemakers, defibrillators, and cardiac resynchronization therapy (CRT) devices can assist with maintaining baseline cardiac function for the patient and the avoidance of life-threatening outcomes [ 4 ]. Sensors within the devices can transmit patient data such as respiratory rate (RR), physical activity levels (based on vital sign values), short recordings of intracardial cardiograms, heart rate (HR), night-time pulse, temperature, a rapid-shallow-breathing-index, thoracic impedance, and heart-sounds [ 5 ]. In addition, there is an algorithm within the devices that can use multiple sensors to track trends and alert providers if worsening heart conditions are identified in the patient [ 3 ].…”
Section: Introductionmentioning
confidence: 99%