Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures
The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies wh...
Saved in:
HerausgeberIn: | |
---|---|
Sonstige: | |
Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 electronic resource (204 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993546104104498 |
---|---|
ctrlnum |
(CKB)5400000000045285 (oapen)https://directory.doabooks.org/handle/20.500.12854/79582 (EXLCZ)995400000000045285 |
collection |
bib_alma |
record_format |
marc |
spelling |
de Fátima Domingues, Maria edt Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (204 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy. English Technology: general issues bicssc History of engineering & technology bicssc fog computing cloud computing e-health healthcare Internet of Things paddle stroke analysis motion reconstruction inertial sensor data fusion body sensor network gait analysis gyroscope information fusion hidden Markov model human activity recognition out of distribution anomaly detection open set classification physiotherapy inertial sensors smart watch rehabilitation machine learning COPD wearable sensors SenseWear Armband physical activity weekday-to-weekend energy expenditure stress wearable device heart rate variability electrocardiogram scapula neuromuscular activity and control rotator cuff related pain syndrome anterior shoulder instability scapular dyskinesis electromyographic biofeedback cardio-respiratory monitoring wearable system smart textile IMU respiratory rate heart rate accelerometers Bland-Altman plots gait speed interclass correlation coefficient low frequency extension filter Stepwatch smart walker obstacle detection aging 3-0365-2812-1 3-0365-2813-X Sciarrone, Andrea edt Radwan, Ayman edt de Fátima Domingues, Maria oth Sciarrone, Andrea oth Radwan, Ayman oth |
language |
English |
format |
eBook |
author2 |
Sciarrone, Andrea Radwan, Ayman de Fátima Domingues, Maria Sciarrone, Andrea Radwan, Ayman |
author_facet |
Sciarrone, Andrea Radwan, Ayman de Fátima Domingues, Maria Sciarrone, Andrea Radwan, Ayman |
author2_variant |
f d m d fdm fdmd a s as a r ar |
author2_role |
HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
title |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
spellingShingle |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
title_full |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
title_fullStr |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
title_full_unstemmed |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
title_auth |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
title_new |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
title_sort |
wearable and ban sensors for physical rehabilitation and ehealth architectures |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
physical |
1 electronic resource (204 p.) |
isbn |
3-0365-2812-1 3-0365-2813-X |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT defatimadominguesmaria wearableandbansensorsforphysicalrehabilitationandehealtharchitectures AT sciarroneandrea wearableandbansensorsforphysicalrehabilitationandehealtharchitectures AT radwanayman wearableandbansensorsforphysicalrehabilitationandehealtharchitectures |
status_str |
n |
ids_txt_mv |
(CKB)5400000000045285 (oapen)https://directory.doabooks.org/handle/20.500.12854/79582 (EXLCZ)995400000000045285 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField |
_version_ |
1787548858907099136 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04384nam-a2200985z--4500</leader><controlfield tag="001">993546104104498</controlfield><controlfield tag="005">20231214132927.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202203s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000045285</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/79582</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000045285</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">de Fátima Domingues, Maria</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (204 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">History of engineering & technology</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fog computing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cloud computing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">e-health</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">healthcare</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Internet of Things</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">paddle stroke analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motion reconstruction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inertial sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">body sensor network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gait analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gyroscope</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">information fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hidden Markov model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">human activity recognition</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">out of distribution</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">anomaly detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">open set classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">physiotherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inertial sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smart watch</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rehabilitation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">COPD</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SenseWear Armband</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">physical activity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">weekday-to-weekend</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">energy expenditure</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">stress</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable device</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heart rate variability</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electrocardiogram</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scapula neuromuscular activity and control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rotator cuff related pain syndrome</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">anterior shoulder instability</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scapular dyskinesis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">electromyographic biofeedback</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cardio-respiratory monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smart textile</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IMU</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">respiratory rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">heart rate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">accelerometers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bland-Altman plots</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gait speed</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">interclass correlation coefficient</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">low frequency extension filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Stepwatch</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smart walker</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">obstacle detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">aging</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-2812-1</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-2813-X</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sciarrone, Andrea</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Radwan, Ayman</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">de Fátima Domingues, Maria</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sciarrone, Andrea</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Radwan, Ayman</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:36:02 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338113790004498&Force_direct=true</subfield><subfield code="Z">5338113790004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338113790004498</subfield></datafield></record></collection> |