2021 Telecoms Conference (ConfTELE) 2021
DOI: 10.1109/conftele50222.2021.9435481
|View full text |Cite
|
Sign up to set email alerts
|

Non-invasive monitoring with Ballistocardiographic sensors for sleep management

Abstract: Sleep has an important impact on people's daily lives. A successful methodology for monitoring sleep is Polysomnography (PSG). This is an accurate and reliable approach but, unfortunately, very invasive. PSG uses expensive sensors that must be positioned by experts, what, in practice, makes its adoption only viable in hospital setups. Therefore, there is a demand for better non-invasive alternatives, such as Ballistocardiography (BCG). BCG uses cheaper sensors, easy to install and ideal for domestic use. This … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 10 publications
0
2
0
Order By: Relevance
“…that is capable of accurately measuring sleep durations for individuals with bipolar disorder ( 13 ). Non-invasive sleep monitoring using Ballistocardiography (BCG) can help people wake up smoothly compared to Polysomnography (PSG) ( 14 ). In addition, a smartphone meditation app can help the prehypertensive population to measure sleep quality ( 15 ).…”
Section: Resultsmentioning
confidence: 99%
“…that is capable of accurately measuring sleep durations for individuals with bipolar disorder ( 13 ). Non-invasive sleep monitoring using Ballistocardiography (BCG) can help people wake up smoothly compared to Polysomnography (PSG) ( 14 ). In addition, a smartphone meditation app can help the prehypertensive population to measure sleep quality ( 15 ).…”
Section: Resultsmentioning
confidence: 99%
“…These parameters can be obtained using BCG registers. Therefore, many BCG systems have been presented that are oriented to determining sleep parameters and the sleep stage of patients [22,23].…”
Section: Introductionmentioning
confidence: 99%