Authors:
Julio Cesar Bellido
;
Giuseppe De Pietro
and
Giovanna Sannino
Affiliation:
Institute for High-Performance Computing and Networking, Italy
Keyword(s):
Automatic Assisted Sensor Positioning, Real-time Signal Processing, Auscultation, Positioning Logic, Phonocardiography Sensor Positioning.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Software Development
;
Symbolic Systems
Abstract:
The correct positioning of wearable biomedical sensors is crucial in the use of any automatic measurement
systems. The effects of an inaccurate positioning can compromise the quality of the acquired vital waveforms,
like phonocardiograms, and can make ineffective any healthcare application which uses wearable sensors. To
solve this issue, this paper proposes an innovative control cycle for a control cycle to assist patients during the
positioning of an auscultation sensor, a digital stethoscope, for a healthcare monitoring application. The control
cycle runs on a user-friendly app and, through the use of a smartphone camera, suggests the auscultation
sites overlapping the active camera view. In this way, the patient has a real-time feedback to ensure the correct
positioning of the sensor.