Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Waveform Phasicity Prediction from Arterial Sounds through Spectrogram
  Analysis using Convolutional Neural Networks for Limb Perfusion Assessment   Peripheral Arterial Disease (PAD) is a common form of arterial occlusive
disease that is challenging to evaluate at the point-of-care. Hand-held
dopplers are the most ubiquitous device used to evaluate circulation and allows
providers to audibly "listen" to the blood flow. Providers use the audible
feedback to subjectively assess whether the sound characteristics are
consistent with Monophasic, Biphasic, or Triphasic waveforms. Subjective
assessment of doppler sounds raises suspicion of PAD and leads to further
testing, often delaying definitive treatment. Misdiagnoses are also possible
with subjective interpretation of doppler waveforms. This paper presents a Deep
Learning system that has the ability to predict waveform phasicity through
analysis of hand-held doppler sounds. We collected 268 four-second recordings
on an iPhone taken during a formal vascular lab study in patients with
cardiovascular disease. Our end-to-end system works by converting input sound
into a spectrogram which visually represents frequency changes in temporal
patterns. This conversion enables visual differentiation between the phasicity
classes. With these changes present, a custom trained Convolutional Neural
Network (CNN) is used for prediction through learned feature extraction. The
performance of the model was evaluated via calculation of the F1 score and
accuracy metrics. The system received an F1 score of 90.57% and an accuracy of
96.23%. Our Deep Learning system is not computationally expensive and has the
ability for integration within several applications. When used in a clinic,
this system has the capability of preventing misdiagnosis and gives
practitioners a second opinion that can be useful in the evaluation of PAD.

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The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
6
The categories of this paper are: astro-ph