Diagnosis and Management of Fetal Arrhythmias
Book Details
Format
Paperback / Softback
ISBN-10
1975122860
ISBN-13
9781975122867
Publisher
Wolters Kluwer Health
Imprint
Wolters Kluwer Health
Country of Manufacture
US
Country of Publication
GB
Publication Date
Aug 28th, 2020
Print length
275 Pages
Weight
718 grams
Dimensions
17.90 x 25.60 x 1.50 cms
Product Classification:
Gynaecology & obstetrics
Ksh 26,650.00
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Accurate diagnosis of fetal arrhythmias is a challenging and essential skill for obstetric practitioners. Diagnosis and Management of Fetal Arrhythmias is the first and only text devoted exclusively to these difficult-to-diagnose abnormalities, helping you distinguish similar rhythms and provide appropriate patient care. Abundant illustrations and dozens of videos online provide clear visual guidance for ultrasound diagnosis of fetal cardiac rhythms.
Accurate diagnosis of fetal arrhythmias is a challenging and essential skill for obstetric practitioners. Diagnosis and Management of Fetal Arrhythmias is the first and only text devoted exclusively to these difficult-to-diagnose abnormalities, helping you distinguish similar rhythms and provide appropriate patient care. Abundant illustrations and dozens of videos online provide clear visual guidance for ultrasound diagnosis of fetal cardiac rhythms.
- Offers simple, straightforward methods to diagnose and triage fetal arrhythmias, written with the obstetric practitioner in mind.
- Highlights the well-organized text with more than 400 full-color images and line drawings.
- Features an extensive library of more than 50 video case examples included with eBook.
- Provides expert, focused coverage of a key area for obstetricians and residents, maternal-fetal medicine fellows and attendings, obstetric sonographers, and pediatric cardiologists.
- Includes access to an additional image-based chapter of arrhythmia case studies in the eBook.
- Read directly on your preferred device(s), such as computer, tablet, or smartphone.
- Easily convert to audiobook, powering your content with natural language text-to-speech.
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