Dysbaric Illness

Marroni, Alessandro; Cronjé, Frans J.; Meintjes, Jack; Cali-Corleo, Ramiro

doi:10.1007/1-4020-4448-8_12

Cited by 1 publication

(1 citation statement)

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“…The data of the proposed dataset were acquired based on the guidelines defined in the acquisition protocol set by the Divers Alert Network (DAN) [3] which defines the precordial region as the optimal zone of the human body for the detection of bubbles in the blood vessels [4]. In fact, numerous studies have shown that this region, although affected by cardiac noise that can be eliminated through signal processing algorithms [[5], [6], [7]], allows to obtain a complete evaluation of all the bubbles present in the blood vessel.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Doppler ultrasound dataset for the development of automatic emboli detection algorithms

et al. 2019

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The article describes a dataset of doppler ultrasound audio tracks taken on a sample of 30 divers according to the acquisition protocol defined by the Divers Alert Network. The audio tracks are accompanied by a medical evaluation for the decompression sickness risk according to the Spencer's scale levels.During the acquisition campaign, each diver in the post-dive phase was subjected to a double doppler ultrasound examination of approximately 45 seconds each one in the precordial area using a Huntleigh FD1 Fetal doppler probe. The two measurements were separated by a time of 8–10 seconds necessary for carrying out specific physical exercises designed to free the bubbles trapped in the tissues. The audio tracks were stored without compression via the TASCAM DP-004 recorder and processed in order to eliminate the noise generated by the positioning of the probe and the time interval between the two measurements.The audio tracks recorded during the acquisition campaign have been evaluated by experts belonging to three independent blind teams in order to provide an assessment of the decompression sickness risk according to Extended Spencer's scale. The specific typology of doppler ultrasound audio tracks and the associated medical evaluation according to the Spencer's scale levels make this dataset useful for the development, testing, and performance evaluation of new audio processing algorithms capable of automatically detecting bubbles in the blood vessels.

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