Skip to main navigation
Skip to search
Skip to main content
Maastricht University Home
Support & FAQ
Link opens in a new tab
Search content at Maastricht University
Home
Researchers
Publications
Activities
Press/Media
Prizes
Organisations
Dataset/Software
Projects
Deep sensing of breathing signal during conversational speech
Venkata Srikanth Nallanthighal
*
,
Aki Härmä
, Helmer Strik
*
Corresponding author for this work
Research output
:
Contribution to journal
›
Conference article in journal
›
Academic
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Deep sensing of breathing signal during conversational speech'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Conversational Speech
100%
Breathing Signal
100%
Deep Sensing
100%
Elderly Patients
33%
Abdomen
33%
Elderly People
33%
Respiratory Disease
33%
Pathological Conditions
33%
Asthma
33%
Convolutional Neural Network
33%
Respiratory Infection
33%
Respiratory Rate
33%
Breathing Pattern
33%
Event Detection
33%
Mean Absolute Error
33%
Rib Cage
33%
Healthcare Monitoring
33%
Breaths per Minute
33%
Deep Learning Algorithm
33%
Recurrent Neural Network
33%
Targeting Signal
33%
Breathing Rate Estimation
33%
Respiratory Signal
33%
Medical Alert
33%
Respiratory Belts
33%
Alert Service
33%
INIS
speech
100%
signals
100%
breathing
100%
algorithms
33%
breath
33%
diseases
16%
detection
16%
patients
16%
sensitivity
16%
errors
16%
monitoring
16%
learning
16%
populations
16%
evaluation
16%
capacity
16%
abdomen
16%
neural networks
16%
asthma
16%
transducers
16%
Pharmacology, Toxicology and Pharmaceutical Science
Asthma
100%
Chronic Obstructive Lung Disease
100%
Respiratory Tract Disease
100%
Respiratory Tract Infection
100%
Medicine and Dentistry
Breathing
100%
Chronic Obstructive Pulmonary Disease
16%
Asthma
16%
Elderly Patient
16%
Health Care
16%
Respiratory Disease
16%
Elderly Population
16%
Respiratory Tract Infection
16%
Breathing Pattern
16%
Breathing Rate
16%
Rib Cage
16%