EMF Characteristic Inside the Infant Incubator Compartment

Author(s):  
Wuwus Ardiatna ◽  
Hutomo Wahyu Nugroho ◽  
Siddiq Wahyu Hidayat ◽  
Irawan Sukma ◽  
Ihsan Supono ◽  
...  
Keyword(s):  
2020 ◽  
Author(s):  
Akif Rahmatillah ◽  
Inten Fauziah Hidayat ◽  
Alfian Pramudita Putra ◽  
Osmalina Nur Rahma ◽  
Suhariningsih

1987 ◽  
Vol 18 (2) ◽  
pp. 143-150 ◽  
Author(s):  
James L. Lewis ◽  
Ronald J. Pruhs ◽  
Raymond M. Quock

PEDIATRICS ◽  
1975 ◽  
Vol 56 (4) ◽  
pp. 617-617
Author(s):  
Gōsta Blennow ◽  
Nils W. Svenningsen ◽  
Bengt Almquist

Recently we reported results from studies of incubator noise levels.1 It was found that in certain types of incubators the noise was considerable, and attention was called to the sound level in the construction of new incubators. Recently we had the opportunity to study an improved model of Isolette Infant Incubator Model C-86 where the mechanical noise from the electrically powered motor has been partially eliminated. With this modification it has been possible to lower the low-frequency sound levels to a certain degree in comparison to the levels registered in our study.


PEDIATRICS ◽  
1980 ◽  
Vol 66 (6) ◽  
pp. 988-990
Author(s):  
John F. McLaughlin ◽  
Robert W. Telzrow ◽  
Celia Mae Scott

A healthy newborn infant acquired a substantial body burden of mercury by inhaling mercury vapor originating from a broken mercury expansion switch in the heating unit of an infant incubator. Highly toxic mercury vapor is produced in quantity by heating otherwise harmless metallic mercury. Switches and thermometers that contain mercury should be removed from infant incubators.


1995 ◽  
Vol 65 (10) ◽  
pp. 478-485
Author(s):  
K. Shindo ◽  
T. Yamaguchi ◽  
T. Hasegawa ◽  
S. Kobayashi ◽  
K. Miyakawa

IARJSET ◽  
2021 ◽  
Vol 8 (8) ◽  
Author(s):  
Sushil a ◽  
H Prasanna Kumar

2021 ◽  
Vol 14 (1) ◽  
pp. 444-452
Author(s):  
Erwin Sutanto ◽  
◽  
Fahmi Fahmi ◽  
Wervyan Shalannanda ◽  
Arga Aridarma ◽  
...  

With the current technology trend of IoT and Smart Device, there is a possibility for the improvement of our infant incubator in responding to the real baby’s condition. This work is trying to see that possibility. First is by analyzing of open baby voice database. From there, a procedure to find out baby cry classification will be explained. The approach was starting with an analysis of sound’s power from that WAV files before going further into the 2D pattern, which will have features for the machine learning. From this work, around 85% accuracy could be achieved. Then together with sensors, it would be useful for infant incubator’s innovation by utilizing this proposed configuration.


Author(s):  
Shehla Inam ◽  
Muhammad Farrukh Qureshi ◽  
Faisal Amin ◽  
Muhammad Akmal ◽  
Muhammad Ziaur Rehman
Keyword(s):  

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