Digital health: mobile and wearable devices for participatory health applications
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam, Netherlands ; Kidlington, Oxford, United Kingdom ; Cambridge, MA, United States
Elsevier
[2021]
|
| Schlagworte: | |
| Online-Zugang: | FHD01 TUM01 |
| Beschreibung: | 1 Online-Ressource (xv, 216 Seiten) Illustrationen |
| ISBN: | 9780128200780 |
Internformat
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| 245 | 1 | 0 | |a Digital health |b mobile and wearable devices for participatory health applications |c edited by Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque |
| 264 | 1 | |a Amsterdam, Netherlands ; Kidlington, Oxford, United Kingdom ; Cambridge, MA, United States |b Elsevier |c [2021] | |
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| 505 | 8 | |a Front Cover -- DIGITAL HEALTH -- DIGITAL HEALTH -- Copyright -- Dedication -- Contents -- Contributors -- List of reviewers -- Preface -- 1 -- Introduction to digital health approach and mHealth applications for participatory health -- References -- 2 -- Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and pa ... -- 1. An introduction to the promise of the digital era -- 2. Opportunities for digital health in the context of personalized healthcare | |
| 505 | 8 | |a 2.1 Personalization of healthcare: the relationship between data, digital technologies and advanced analytics -- 2.2 Digital health measures -- 2.3 Examples of digital health technologies in clinical research -- 2.4 Examples of digital health technologies throughout the care delivery pathway -- 2.4.1 Screening and diagnosis -- 2.4.2 Treatment decisions, monitoring, and adherence -- 2.4.3 Patient satisfaction, quality of life, and survival -- 2.4.4 Telehealth and digital interventions -- 3. Challenges throughout the life cycle of digital health solutions | |
| 505 | 8 | |a 3.1 Challenges in bringing digital health technologies to market -- 3.2 Challenges in the adoption of digital health technologies -- 4. Conclusions -- Acknowledgments -- Conflicts of interest -- References -- 3 -- Wearables, smartphones, and artificial intelligence for digital phenotyping and health -- 1. Towards digital phenotyping -- 2. Mobile health -- 3. Artificial intelligence -- 3.1 Traditional feature engineering modeling -- 3.2 Raw sensor time series modeling -- 4. Toward objective measures of physical behaviors in epidemiology -- 4.1 Introduction to epidemiological research | |
| 505 | 8 | |a 4.2 Traditional measurement of physical activity through questionnaires -- 4.3 The transition toward objective monitoring of physical behaviors -- 4.4 Analyzing physical activity: accelerometers for movement analysis -- 4.5 Human activity recognition -- 4.6 Multimodal sensing -- 5. Conclusion -- Acknowledgments -- References -- 4 -- Artificial intelligence/machine learning solutions for mobile and wearable devices -- 1. Mobile and wearable devices -- 2. Different types of data collected by mobile and wearable devices and applications | |
| 505 | 8 | |a 3. The components of mobile- and wearable devices-based applications -- 4. The ML solutions for mobile and wearable devices -- 5. Case study: the application of mobile and wearable device data in the COVID-19 pandemic -- 6. Conclusion -- ACKNOWLEDGMENT -- References -- 5 -- mHealth for research: participatory research applications to gain disease insights -- 1. Background on research mHealth applications -- 1.1 A case study: "The Citizen Endo Project and the Phendo Research App" -- 2. User engagement and participatory design in mHealth research -- 2.1 Case study: participatory design of Phendo | |
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| contents | Front Cover -- DIGITAL HEALTH -- DIGITAL HEALTH -- Copyright -- Dedication -- Contents -- Contributors -- List of reviewers -- Preface -- 1 -- Introduction to digital health approach and mHealth applications for participatory health -- References -- 2 -- Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and pa ... -- 1. An introduction to the promise of the digital era -- 2. Opportunities for digital health in the context of personalized healthcare 2.1 Personalization of healthcare: the relationship between data, digital technologies and advanced analytics -- 2.2 Digital health measures -- 2.3 Examples of digital health technologies in clinical research -- 2.4 Examples of digital health technologies throughout the care delivery pathway -- 2.4.1 Screening and diagnosis -- 2.4.2 Treatment decisions, monitoring, and adherence -- 2.4.3 Patient satisfaction, quality of life, and survival -- 2.4.4 Telehealth and digital interventions -- 3. Challenges throughout the life cycle of digital health solutions 3.1 Challenges in bringing digital health technologies to market -- 3.2 Challenges in the adoption of digital health technologies -- 4. Conclusions -- Acknowledgments -- Conflicts of interest -- References -- 3 -- Wearables, smartphones, and artificial intelligence for digital phenotyping and health -- 1. Towards digital phenotyping -- 2. Mobile health -- 3. Artificial intelligence -- 3.1 Traditional feature engineering modeling -- 3.2 Raw sensor time series modeling -- 4. Toward objective measures of physical behaviors in epidemiology -- 4.1 Introduction to epidemiological research 4.2 Traditional measurement of physical activity through questionnaires -- 4.3 The transition toward objective monitoring of physical behaviors -- 4.4 Analyzing physical activity: accelerometers for movement analysis -- 4.5 Human activity recognition -- 4.6 Multimodal sensing -- 5. Conclusion -- Acknowledgments -- References -- 4 -- Artificial intelligence/machine learning solutions for mobile and wearable devices -- 1. Mobile and wearable devices -- 2. Different types of data collected by mobile and wearable devices and applications 3. The components of mobile- and wearable devices-based applications -- 4. The ML solutions for mobile and wearable devices -- 5. Case study: the application of mobile and wearable device data in the COVID-19 pandemic -- 6. Conclusion -- ACKNOWLEDGMENT -- References -- 5 -- mHealth for research: participatory research applications to gain disease insights -- 1. Background on research mHealth applications -- 1.1 A case study: "The Citizen Endo Project and the Phendo Research App" -- 2. User engagement and participatory design in mHealth research -- 2.1 Case study: participatory design of Phendo |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:08:03Z |
| indexdate | 2024-07-10T09:01:12Z |
| institution | BVB |
| isbn | 9780128200780 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032458370 |
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| spelling | Digital health mobile and wearable devices for participatory health applications edited by Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque Amsterdam, Netherlands ; Kidlington, Oxford, United Kingdom ; Cambridge, MA, United States Elsevier [2021] 1 Online-Ressource (xv, 216 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Front Cover -- DIGITAL HEALTH -- DIGITAL HEALTH -- Copyright -- Dedication -- Contents -- Contributors -- List of reviewers -- Preface -- 1 -- Introduction to digital health approach and mHealth applications for participatory health -- References -- 2 -- Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and pa ... -- 1. An introduction to the promise of the digital era -- 2. Opportunities for digital health in the context of personalized healthcare 2.1 Personalization of healthcare: the relationship between data, digital technologies and advanced analytics -- 2.2 Digital health measures -- 2.3 Examples of digital health technologies in clinical research -- 2.4 Examples of digital health technologies throughout the care delivery pathway -- 2.4.1 Screening and diagnosis -- 2.4.2 Treatment decisions, monitoring, and adherence -- 2.4.3 Patient satisfaction, quality of life, and survival -- 2.4.4 Telehealth and digital interventions -- 3. Challenges throughout the life cycle of digital health solutions 3.1 Challenges in bringing digital health technologies to market -- 3.2 Challenges in the adoption of digital health technologies -- 4. Conclusions -- Acknowledgments -- Conflicts of interest -- References -- 3 -- Wearables, smartphones, and artificial intelligence for digital phenotyping and health -- 1. Towards digital phenotyping -- 2. Mobile health -- 3. Artificial intelligence -- 3.1 Traditional feature engineering modeling -- 3.2 Raw sensor time series modeling -- 4. Toward objective measures of physical behaviors in epidemiology -- 4.1 Introduction to epidemiological research 4.2 Traditional measurement of physical activity through questionnaires -- 4.3 The transition toward objective monitoring of physical behaviors -- 4.4 Analyzing physical activity: accelerometers for movement analysis -- 4.5 Human activity recognition -- 4.6 Multimodal sensing -- 5. Conclusion -- Acknowledgments -- References -- 4 -- Artificial intelligence/machine learning solutions for mobile and wearable devices -- 1. Mobile and wearable devices -- 2. Different types of data collected by mobile and wearable devices and applications 3. The components of mobile- and wearable devices-based applications -- 4. The ML solutions for mobile and wearable devices -- 5. Case study: the application of mobile and wearable device data in the COVID-19 pandemic -- 6. Conclusion -- ACKNOWLEDGMENT -- References -- 5 -- mHealth for research: participatory research applications to gain disease insights -- 1. Background on research mHealth applications -- 1.1 A case study: "The Citizen Endo Project and the Phendo Research App" -- 2. User engagement and participatory design in mHealth research -- 2.1 Case study: participatory design of Phendo Digitalisierung (DE-588)4123065-6 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Digitalisierung (DE-588)4123065-6 s Gesundheitswesen (DE-588)4020775-4 s DE-604 Syed-Abdul, Shabbir (DE-588)1231550953 edt Xinxin, Zhu (DE-588)1231551151 edt Fernandez-Luque, Luis (DE-588)1283866471 edt Erscheint auch als Druck-Ausgabe 978-0-12-820077-3 |
| spellingShingle | Digital health mobile and wearable devices for participatory health applications Front Cover -- DIGITAL HEALTH -- DIGITAL HEALTH -- Copyright -- Dedication -- Contents -- Contributors -- List of reviewers -- Preface -- 1 -- Introduction to digital health approach and mHealth applications for participatory health -- References -- 2 -- Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and pa ... -- 1. An introduction to the promise of the digital era -- 2. Opportunities for digital health in the context of personalized healthcare 2.1 Personalization of healthcare: the relationship between data, digital technologies and advanced analytics -- 2.2 Digital health measures -- 2.3 Examples of digital health technologies in clinical research -- 2.4 Examples of digital health technologies throughout the care delivery pathway -- 2.4.1 Screening and diagnosis -- 2.4.2 Treatment decisions, monitoring, and adherence -- 2.4.3 Patient satisfaction, quality of life, and survival -- 2.4.4 Telehealth and digital interventions -- 3. Challenges throughout the life cycle of digital health solutions 3.1 Challenges in bringing digital health technologies to market -- 3.2 Challenges in the adoption of digital health technologies -- 4. Conclusions -- Acknowledgments -- Conflicts of interest -- References -- 3 -- Wearables, smartphones, and artificial intelligence for digital phenotyping and health -- 1. Towards digital phenotyping -- 2. Mobile health -- 3. Artificial intelligence -- 3.1 Traditional feature engineering modeling -- 3.2 Raw sensor time series modeling -- 4. Toward objective measures of physical behaviors in epidemiology -- 4.1 Introduction to epidemiological research 4.2 Traditional measurement of physical activity through questionnaires -- 4.3 The transition toward objective monitoring of physical behaviors -- 4.4 Analyzing physical activity: accelerometers for movement analysis -- 4.5 Human activity recognition -- 4.6 Multimodal sensing -- 5. Conclusion -- Acknowledgments -- References -- 4 -- Artificial intelligence/machine learning solutions for mobile and wearable devices -- 1. Mobile and wearable devices -- 2. Different types of data collected by mobile and wearable devices and applications 3. The components of mobile- and wearable devices-based applications -- 4. The ML solutions for mobile and wearable devices -- 5. Case study: the application of mobile and wearable device data in the COVID-19 pandemic -- 6. Conclusion -- ACKNOWLEDGMENT -- References -- 5 -- mHealth for research: participatory research applications to gain disease insights -- 1. Background on research mHealth applications -- 1.1 A case study: "The Citizen Endo Project and the Phendo Research App" -- 2. User engagement and participatory design in mHealth research -- 2.1 Case study: participatory design of Phendo Digitalisierung (DE-588)4123065-6 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
| subject_GND | (DE-588)4123065-6 (DE-588)4020775-4 |
| title | Digital health mobile and wearable devices for participatory health applications |
| title_auth | Digital health mobile and wearable devices for participatory health applications |
| title_exact_search | Digital health mobile and wearable devices for participatory health applications |
| title_exact_search_txtP | Digital health mobile and wearable devices for participatory health applications |
| title_full | Digital health mobile and wearable devices for participatory health applications edited by Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque |
| title_fullStr | Digital health mobile and wearable devices for participatory health applications edited by Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque |
| title_full_unstemmed | Digital health mobile and wearable devices for participatory health applications edited by Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque |
| title_short | Digital health |
| title_sort | digital health mobile and wearable devices for participatory health applications |
| title_sub | mobile and wearable devices for participatory health applications |
| topic | Digitalisierung (DE-588)4123065-6 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
| topic_facet | Digitalisierung Gesundheitswesen |
| work_keys_str_mv | AT syedabdulshabbir digitalhealthmobileandwearabledevicesforparticipatoryhealthapplications AT xinxinzhu digitalhealthmobileandwearabledevicesforparticipatoryhealthapplications AT fernandezluqueluis digitalhealthmobileandwearabledevicesforparticipatoryhealthapplications |