AAC Assessment and Intervention in Pediatric ICU/Acute Care: From Referral Through Continuum of Care

2013 ◽  
Vol 22 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Rachel Santiago ◽  
John M. Costello

Abstract AAC supports in the ICU/Acute Care vary by patient presentation. Our 20+ years of bedside service delivery reveals trends in patient needs for AAC across the continuum of care. We detail three phases of AAC assessment and intervention and the role of SLP in the assessment/feature matching process.

Author(s):  
Partha Basu ◽  
Richa Tripathi ◽  
Ravi Mehrotra ◽  
Koninika Ray ◽  
Anurag Srivastava ◽  
...  

Author(s):  
S. Kerner ◽  
I. Kaufman ◽  
Y. Raizman

Automatic image matching algorithms, and especially feature-based methods, profoundly changed our understanding and requirements of tie points. The number of tie points has increased by orders of magnitude, yet the notions of accuracy and reliability of tie points remain equally important. The spatial distribution of tie points is less predictable, and is subject only to limited control. Feature-based methods also highlighted a conceptual division of the matching process into two separate stages – feature extraction and feature matching. <br><br> In this paper we discuss whether spatial distribution requirements, such as Von Gruber positions, are still relevant to modern matching methods. We argue that forcing such patterns might no longer be required in the feature extraction stage. However, we claim spatial distribution is important in the feature matching stage. <br><br> We will focus on terrains that are notorious for difficult matching, such as water bodies, with real data obtained by users of VisionMap’s A3 Edge camera and LightSpeed photogrammetric suite.


2021 ◽  
Vol 32 ◽  
pp. S547-S548
Author(s):  
A.A. Valdivia ◽  
F. Salva ◽  
J. Ros ◽  
I. Baraibar ◽  
G. Argiles Martinez ◽  
...  

Author(s):  
Sander L. Hitzig ◽  
Lesley Gotlib Conn ◽  
Sara J. T. Guilcher ◽  
Stephanie R. Cimino ◽  
Lawrence R. Robinson

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