Estimation of emptying urinary bladder in paraplegic and elderly people based on bioimpedance, hypogastric region temperature and neural network

Michael Rodas; Layla Amoroso; Mónica Huerta

doi:10.1007/978-981-10-9038-7_172

Estimation of emptying urinary bladder in paraplegic and elderly people based on bioimpedance, hypogastric region temperature and neural network

Michael Rodas, Layla Amoroso, Mónica Huerta

Telecommunications and Telematics Research Group (GITEL)

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

As is known, bioimpedance is a measurement method that can be used in medicine to know the volume of a person’s urinary bladder. However, this method is not entirely reliable due to the multiple factors that influence its measurement, such as the weight of the person, body fat and even the different skin type of each person. Therefore, this paper proposes a method that combines bioimpedance, hypogastric region temperature and an artificial feed-forward neural network, sufficiently capable of determining when to empty the bladder, so that this muscle is not affected by the time exceeded of urine continence, this work is aimed to people who have suffered injuries to their spine, who do not have the ability of feeling when their bladder needs to be emptied. It is also aimed to older adults who begin to have problems with their bladder control, allowing them to improve their quality of life.

Original language	English
Pages (from-to)	931-935
Number of pages	5
Journal	IFMBE Proceedings
Volume	68
Issue number	2
DOIs	https://doi.org/10.1007/978-981-10-9038-7_172
State	Published - 1 Jan 2018
Event	World Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, Czech Republic Duration: 3 Jun 2018 → 8 Jun 2018

Bibliographical note

Funding Information:
Acknowledgements We gratefully thank to the support of UAM, Universidad del Adulto Mayor of the city Cuenca and to all the patients who contributed to this study. An especial acknowledgment to Bernardo Vazquez, who was the main inspiration to develop this research. The authors gratefully acknowledge the support of the NEURO-SISMO project, Universidad Politécnica Salesiana from Ecuador.

Funding Information:
We gratefully thank to the support of UAM, Universidad del Adulto Mayor of the city Cuenca and to all the patients who contributed to this study. An especial acknowledgment to Bernardo Vazquez, who was the main inspiration to develop this research. The authors gratefully acknowledge the support of the NEURO-SISMO project, Universidad Politécnica Salesiana from Ecuador.

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2019.

Keywords

Bioimpedance
Hypogastric region temperature
Neural network

Access to Document

10.1007/978-981-10-9038-7_172

Cite this

@article{70ce32590b294c98a227bab6c692277a,

title = "Estimation of emptying urinary bladder in paraplegic and elderly people based on bioimpedance, hypogastric region temperature and neural network",

abstract = "As is known, bioimpedance is a measurement method that can be used in medicine to know the volume of a person{\textquoteright}s urinary bladder. However, this method is not entirely reliable due to the multiple factors that influence its measurement, such as the weight of the person, body fat and even the different skin type of each person. Therefore, this paper proposes a method that combines bioimpedance, hypogastric region temperature and an artificial feed-forward neural network, sufficiently capable of determining when to empty the bladder, so that this muscle is not affected by the time exceeded of urine continence, this work is aimed to people who have suffered injuries to their spine, who do not have the ability of feeling when their bladder needs to be emptied. It is also aimed to older adults who begin to have problems with their bladder control, allowing them to improve their quality of life.",

keywords = "Bioimpedance, Hypogastric region temperature, Neural network",

author = "Michael Rodas and Layla Amoroso and M{\'o}nica Huerta",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; World Congress on Medical Physics and Biomedical Engineering, WC 2018 ; Conference date: 03-06-2018 Through 08-06-2018",

year = "2018",

month = jan,

day = "1",

doi = "10.1007/978-981-10-9038-7_172",

language = "English",

volume = "68",

pages = "931--935",

journal = "IFMBE Proceedings",

issn = "1680-0737",

publisher = "Springer Verlag",

number = "2",

}

TY - JOUR

T1 - Estimation of emptying urinary bladder in paraplegic and elderly people based on bioimpedance, hypogastric region temperature and neural network

AU - Rodas, Michael

AU - Amoroso, Layla

AU - Huerta, Mónica

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2019.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - As is known, bioimpedance is a measurement method that can be used in medicine to know the volume of a person’s urinary bladder. However, this method is not entirely reliable due to the multiple factors that influence its measurement, such as the weight of the person, body fat and even the different skin type of each person. Therefore, this paper proposes a method that combines bioimpedance, hypogastric region temperature and an artificial feed-forward neural network, sufficiently capable of determining when to empty the bladder, so that this muscle is not affected by the time exceeded of urine continence, this work is aimed to people who have suffered injuries to their spine, who do not have the ability of feeling when their bladder needs to be emptied. It is also aimed to older adults who begin to have problems with their bladder control, allowing them to improve their quality of life.

AB - As is known, bioimpedance is a measurement method that can be used in medicine to know the volume of a person’s urinary bladder. However, this method is not entirely reliable due to the multiple factors that influence its measurement, such as the weight of the person, body fat and even the different skin type of each person. Therefore, this paper proposes a method that combines bioimpedance, hypogastric region temperature and an artificial feed-forward neural network, sufficiently capable of determining when to empty the bladder, so that this muscle is not affected by the time exceeded of urine continence, this work is aimed to people who have suffered injuries to their spine, who do not have the ability of feeling when their bladder needs to be emptied. It is also aimed to older adults who begin to have problems with their bladder control, allowing them to improve their quality of life.

KW - Bioimpedance

KW - Hypogastric region temperature

KW - Neural network

UR - http://www.scopus.com/inward/record.url?scp=85048233396&partnerID=8YFLogxK

U2 - 10.1007/978-981-10-9038-7_172

DO - 10.1007/978-981-10-9038-7_172

M3 - Artículo de la conferencia

AN - SCOPUS:85048233396

SN - 1680-0737

VL - 68

SP - 931

EP - 935

JO - IFMBE Proceedings

JF - IFMBE Proceedings

IS - 2

T2 - World Congress on Medical Physics and Biomedical Engineering, WC 2018

Y2 - 3 June 2018 through 8 June 2018

ER -

Estimation of emptying urinary bladder in paraplegic and elderly people based on bioimpedance, hypogastric region temperature and neural network

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this