Technology-enabled motion sensing and activity tracking for rehabilitation:
Documenting how technology has been increasingly facilitating rehabilitation both for physical and mental health, this book focuses on sensing and measurement technologies for rehabilitation applications. The author introduces various motion sensing technologies, such as inertial measurement units,...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Stevenage
The Institution of Engineering and Technology
2022
|
| Schriftenreihe: | IET healthcare technologies series
37 |
| Online-Zugang: | TUM01 UBY01 Volltext |
| Zusammenfassung: | Documenting how technology has been increasingly facilitating rehabilitation both for physical and mental health, this book focuses on sensing and measurement technologies for rehabilitation applications. The author introduces various motion sensing technologies, such as inertial measurement units, pressure sensing, e-Textile, and vision-based motion sensing and discusses the applications in at-home rehabilitation scenarios. Common human motion recognition algorithms, ranging from simple single-parameter determination, such as the determination of range of motion in terms of angles, to sophisticated rule-based and machine-learning based activity recognition algorithms are explored, laying the foundation for adopting and understanding these technologies in rehabilitation. Interactive games illustrate how technology can help rehabilitation beyond assessment, invigorating the rehabilitation programs, and engaging patients in their own recovery journey via computer screens or virtual reality interfaces to provide real-time feedback on the quality and quantity of the physical activity performed. This serious game technology enables more accurate and consistent assessment of the quality of rehabilitation exercises done by the patients. The author looks at many patient populations (such as recovery from stroke, COPD, MS, or surgery) and many rehabilitation scenarios (such as upper extremity, lower extremity, posture, hand, gait and activities of daily living). Professionals and researchers in the field of rehabilitation technology engineering and related areas will find this book a valuable tool in navigating multidisciplinary work on healthcare technology and health science. |
| Beschreibung: | 1 Online-Ressource (xvi, 324 Seiten) |
| ISBN: | 9781839534119 |
| DOI: | 10.1049/PBHE037E |
Internformat
MARC
| LEADER | 00000nmm a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV048933526 | ||
| 003 | DE-604 | ||
| 005 | 20240207 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 230509s2022 |||| o||u| ||||||eng d | ||
| 020 | |a 9781839534119 |9 978-1-83953-411-9 | ||
| 024 | 7 | |a 10.1049/PBHE037E |2 doi | |
| 035 | |a (ZDB-100-IET)PBHE037E | ||
| 035 | |a (OCoLC)1379398344 | ||
| 035 | |a (DE-599)BVBBV048933526 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-706 | ||
| 100 | 1 | |a Zhao, Wenbing |e Verfasser |0 (DE-588)138711429 |4 aut | |
| 245 | 1 | 0 | |a Technology-enabled motion sensing and activity tracking for rehabilitation |c Wenbing Zhao |
| 264 | 1 | |a Stevenage |b The Institution of Engineering and Technology |c 2022 | |
| 300 | |a 1 Online-Ressource (xvi, 324 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a IET healthcare technologies series |v 37 | |
| 520 | |a Documenting how technology has been increasingly facilitating rehabilitation both for physical and mental health, this book focuses on sensing and measurement technologies for rehabilitation applications. The author introduces various motion sensing technologies, such as inertial measurement units, pressure sensing, e-Textile, and vision-based motion sensing and discusses the applications in at-home rehabilitation scenarios. Common human motion recognition algorithms, ranging from simple single-parameter determination, such as the determination of range of motion in terms of angles, to sophisticated rule-based and machine-learning based activity recognition algorithms are explored, laying the foundation for adopting and understanding these technologies in rehabilitation. Interactive games illustrate how technology can help rehabilitation beyond assessment, invigorating the rehabilitation programs, and engaging patients in their own recovery journey via computer screens or virtual reality interfaces to provide real-time feedback on the quality and quantity of the physical activity performed. This serious game technology enables more accurate and consistent assessment of the quality of rehabilitation exercises done by the patients. The author looks at many patient populations (such as recovery from stroke, COPD, MS, or surgery) and many rehabilitation scenarios (such as upper extremity, lower extremity, posture, hand, gait and activities of daily living). Professionals and researchers in the field of rehabilitation technology engineering and related areas will find this book a valuable tool in navigating multidisciplinary work on healthcare technology and health science. | ||
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781839534102 |
| 856 | 4 | 0 | |u https://doi.org/10.1049/PBHE037E |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-100-IET | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034197433 | ||
| 966 | e | |u https://doi.org/10.1049/PBHE037E |l TUM01 |p ZDB-100-IET |q TUM_Paketkauf_2022 |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1049/PBHE037E |l UBY01 |p ZDB-100-IET |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804185127555694592 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Zhao, Wenbing |
| author_GND | (DE-588)138711429 |
| author_facet | Zhao, Wenbing |
| author_role | aut |
| author_sort | Zhao, Wenbing |
| author_variant | w z wz |
| building | Verbundindex |
| bvnumber | BV048933526 |
| collection | ZDB-100-IET |
| ctrlnum | (ZDB-100-IET)PBHE037E (OCoLC)1379398344 (DE-599)BVBBV048933526 |
| doi_str_mv | 10.1049/PBHE037E |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03059nmm a2200361zcb4500</leader><controlfield tag="001">BV048933526</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240207 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230509s2022 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781839534119</subfield><subfield code="9">978-1-83953-411-9</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1049/PBHE037E</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-100-IET)PBHE037E</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1379398344</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048933526</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhao, Wenbing</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)138711429</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Technology-enabled motion sensing and activity tracking for rehabilitation</subfield><subfield code="c">Wenbing Zhao</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Stevenage</subfield><subfield code="b">The Institution of Engineering and Technology</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xvi, 324 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">IET healthcare technologies series</subfield><subfield code="v">37</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Documenting how technology has been increasingly facilitating rehabilitation both for physical and mental health, this book focuses on sensing and measurement technologies for rehabilitation applications. The author introduces various motion sensing technologies, such as inertial measurement units, pressure sensing, e-Textile, and vision-based motion sensing and discusses the applications in at-home rehabilitation scenarios. Common human motion recognition algorithms, ranging from simple single-parameter determination, such as the determination of range of motion in terms of angles, to sophisticated rule-based and machine-learning based activity recognition algorithms are explored, laying the foundation for adopting and understanding these technologies in rehabilitation. Interactive games illustrate how technology can help rehabilitation beyond assessment, invigorating the rehabilitation programs, and engaging patients in their own recovery journey via computer screens or virtual reality interfaces to provide real-time feedback on the quality and quantity of the physical activity performed. This serious game technology enables more accurate and consistent assessment of the quality of rehabilitation exercises done by the patients. The author looks at many patient populations (such as recovery from stroke, COPD, MS, or surgery) and many rehabilitation scenarios (such as upper extremity, lower extremity, posture, hand, gait and activities of daily living). Professionals and researchers in the field of rehabilitation technology engineering and related areas will find this book a valuable tool in navigating multidisciplinary work on healthcare technology and health science.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781839534102</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1049/PBHE037E</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-100-IET</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034197433</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1049/PBHE037E</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-100-IET</subfield><subfield code="q">TUM_Paketkauf_2022</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1049/PBHE037E</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-100-IET</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048933526 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:57:47Z |
| indexdate | 2024-07-10T09:50:18Z |
| institution | BVB |
| isbn | 9781839534119 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034197433 |
| oclc_num | 1379398344 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-706 |
| owner_facet | DE-91 DE-BY-TUM DE-706 |
| physical | 1 Online-Ressource (xvi, 324 Seiten) |
| psigel | ZDB-100-IET ZDB-100-IET TUM_Paketkauf_2022 |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | The Institution of Engineering and Technology |
| record_format | marc |
| series2 | IET healthcare technologies series |
| spelling | Zhao, Wenbing Verfasser (DE-588)138711429 aut Technology-enabled motion sensing and activity tracking for rehabilitation Wenbing Zhao Stevenage The Institution of Engineering and Technology 2022 1 Online-Ressource (xvi, 324 Seiten) txt rdacontent c rdamedia cr rdacarrier IET healthcare technologies series 37 Documenting how technology has been increasingly facilitating rehabilitation both for physical and mental health, this book focuses on sensing and measurement technologies for rehabilitation applications. The author introduces various motion sensing technologies, such as inertial measurement units, pressure sensing, e-Textile, and vision-based motion sensing and discusses the applications in at-home rehabilitation scenarios. Common human motion recognition algorithms, ranging from simple single-parameter determination, such as the determination of range of motion in terms of angles, to sophisticated rule-based and machine-learning based activity recognition algorithms are explored, laying the foundation for adopting and understanding these technologies in rehabilitation. Interactive games illustrate how technology can help rehabilitation beyond assessment, invigorating the rehabilitation programs, and engaging patients in their own recovery journey via computer screens or virtual reality interfaces to provide real-time feedback on the quality and quantity of the physical activity performed. This serious game technology enables more accurate and consistent assessment of the quality of rehabilitation exercises done by the patients. The author looks at many patient populations (such as recovery from stroke, COPD, MS, or surgery) and many rehabilitation scenarios (such as upper extremity, lower extremity, posture, hand, gait and activities of daily living). Professionals and researchers in the field of rehabilitation technology engineering and related areas will find this book a valuable tool in navigating multidisciplinary work on healthcare technology and health science. Erscheint auch als Druck-Ausgabe 9781839534102 https://doi.org/10.1049/PBHE037E Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Zhao, Wenbing Technology-enabled motion sensing and activity tracking for rehabilitation |
| title | Technology-enabled motion sensing and activity tracking for rehabilitation |
| title_auth | Technology-enabled motion sensing and activity tracking for rehabilitation |
| title_exact_search | Technology-enabled motion sensing and activity tracking for rehabilitation |
| title_exact_search_txtP | Technology-enabled motion sensing and activity tracking for rehabilitation |
| title_full | Technology-enabled motion sensing and activity tracking for rehabilitation Wenbing Zhao |
| title_fullStr | Technology-enabled motion sensing and activity tracking for rehabilitation Wenbing Zhao |
| title_full_unstemmed | Technology-enabled motion sensing and activity tracking for rehabilitation Wenbing Zhao |
| title_short | Technology-enabled motion sensing and activity tracking for rehabilitation |
| title_sort | technology enabled motion sensing and activity tracking for rehabilitation |
| url | https://doi.org/10.1049/PBHE037E |
| work_keys_str_mv | AT zhaowenbing technologyenabledmotionsensingandactivitytrackingforrehabilitation |