Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (vi, 319 Seiten) , Illustrationen, Diagramme

ISBN: 9783030257972

Series Statement: Lecture notes on data engineering and communications technologies 32

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-25796-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-25798-9

Language: English

DOI: 10.1007/978-3-030-25797-2

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (384 pages)

ISBN: 0-323-85190-8

Content: Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond presents biomedical engineering applications used to manage people’s disabilities and care for the elderly to improve their quality of life and extend life expectancy. This edited book covers all aspects of assistive technologies, including the Internet of Things (IoT), telemedicine, e-Health, m-Health, smart sensors, robotics, devices for rehabilitation, and "serious" games. [...] The unique focus of this book is on the needs of this user base during emergency and disaster situations. The content includes risk reduction, emergency planning, response, disaster recovery, and needs assessment.

Note: Description based upon print version of record. , Front Cover -- Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond -- Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond -- Copyright -- Contents -- Contributors -- 1 - Physical activities for the elderly in a pandemic context during a relaxation of restrictions -- 1. SARS-CoV-2 and the pandemic context in Romania -- 2. Physical fitness -- 3. Energy systems required during exertion -- 4. Physical fitness workout principles -- 5. The effects of the aging process -- 6. Goals for a healthy lifestyle -- 7. Assessment of physical fitness of the elderly through tests -- 8. Outdoor physical exercise and monitoring the effort through electronic devices -- References -- 2 - Intelligent remote system for assessing a subject's health during sleep -- 1. Comfort and disease prevention using smart systems -- 2. Methods and algorithms used in data analysis -- 2.1 Artificial neural networks -- 2.2 Gradient descent and backpropagation -- 2.3 Stochastic gradient descent algorithm implementation -- 2.4 The KNN -(k nearest neighbors) algorithm -- 3. Project description -- 3.1 System description -- 3.2 Data collection -- 3.3 Data organizing -- 3.4 Building and training an ANN -- 3.4.1 Data preprocessing -- 3.4.2 ANN designing and training -- 4. Conclusions -- References -- Further Reading -- 3 - A study on the recent developments in voltammetric sensors for the β-blocker propranolol hydrochloride -- 1. Introduction -- 2. Electrochemical sensors for the detection of PRO -- 3. Conclusion and future perspective -- Acknowledgment -- References -- 4 - Cloud-IoMT-based wearable body sensors network for monitoring elderly patients during the COVID-19 pandemic -- 1. Introduction -- 2. The Internet of Medical Things for COVID-19. , 2.1 Working process during the COVID-19 pandemic using the IoMT -- 3. The wearable body sensors network for COVID-19 -- 4. Cloud-IoMT-based WBSN framework for monitoring elderly patients during the COVID-19 pandemic -- 4.1 System framework -- 4.1.1 Elderly patients' layer (wearable devices) -- 4.1.2 Cloud-IoMT-based (data layer) -- 4.1.3 Elderly monitoring and alert platform (hospital layer) -- 4.1.4 Gateway -- 5. Practical case for CI-WBSN monitoring of elderly patients during the COVID-19 pandemic -- 6. Discussion and future research directions -- 7. Conclusion -- References -- 5 - Indoor physical activities for the elderly during the SARS-CoV-2/COVID-19 pandemic -- SARS-CoV-2/COVID-19 and the emergency state in Romania -- 2. Motor capacity and physical activity -- 2.1 Motor skills -- 2.1.1 Basic motor skills -- 2.1.2 Applicative-utilitarian motor skills -- 2.1.3 Sport-specific motor skills -- 3. Warm-up before physical activities -- 4. Physical exercises and prophylaxis -- 5. Diet and physical activities -- 6. Aging -- 7. Indoor physical activities and maintaining of the health status and exertion -- References -- 6 - Animated line, bar, and bubble plots for better COVID case analysis: Using R programming -- 1. Introduction -- 2. Methods -- 3. Animated line plot -- 4. Animated bar plot -- 5. Bubble plot animation -- 6. Conclusion -- References -- 7 - Applications of physical activity before and during the COVID-19 pandemic for the elderly -- 1. Biopsychomotor particulars of senior citizens -- 2. Applications of aquatic activity in the third age -- 3. Applications of physical activity-medical gymnastics -- 4. Evaluation methods -- 5. Conclusions -- References -- 8 - Recovery activities for the locomotor system during the COVID-19 pandemic -- 1. Theoretical-methodical aspects of pathophysiology of posttraumatic sequelae. , 2. Development of recovery programs for musculoskeletal injuries during the COVID-19 pandemic -- 2.1 Methodical indications -- 3. Methods of evaluation of the musculoskeletal system -- 4. Complementary methods and techniques in posttraumatic recovery of the musculoskeletal system -- References -- 9 - The emerging association between boredom, COVID-19 anxiety, and aggressiveness in imposed prolonged social isol ... -- 1. Introduction -- 1.1 Social isolation and its effects in the general population -- 1.2 Boredom -- 2. Materials and methods -- 2.1 Objective and hypothesis -- 2.2 Participants -- 2.3 Instruments -- 2.4 Study design and procedure -- 3. Results and discussion -- 4. Discussions and conclusion -- References -- 10 - COVID-19 research: Open data resources and challenges -- 1. Introduction -- 2. COVID-19 and data-driven techniques -- 3. Medical image data sources -- 3.1 CT scans -- 3.1.1 X-ray -- 4. Useful text datasets on COVID-19 -- 4.1 Case report -- 4.2 Report analysis of COVID-19 cases -- 4.2.1 Transmission analysis -- 4.2.2 NPI analysis -- 4.3 Social media text data -- 4.4 Scholarly articles -- 4.5 NPI data and data on elderly people -- 5. Mobility datasets -- 6. Speech dataset -- 6.1 Diagnosis based on cough sound -- 6.2 Diagnosis based on breathing -- 6.3 Severity Estimation Using Speech -- 7. Challenges and future directions -- 7.1 Open-source data -- 7.1.1 Challenges due to AI/ML-based interventions -- 7.2 Challenges with medical data -- 7.3 Challenges with textual data -- 8. Conclusion -- References -- 11 - Comprehending COVID-19 as a contact network -- 1. Introduction -- 2. Graph theory for COVID-19 -- 3. Conclusion -- References -- 12 - Coronavirus: Diagnosis, detection, and analysis -- 1. Introduction -- 2. Effects of COVID-19 on the respiratory system -- 3. Symptoms of COVID-19 -- 4. Transmission of COVID-19. , 5. Diagnosis of COVID-19 -- 6. Biosensors for coronavirus detection -- 7. Detection and measurement of bios-Species at the circuit level -- 8. Engineered nanomaterials with an artificial intelligence prediction model -- 9. Prediction and analysis with a machine learning approach -- 10. Conclusion -- References -- 13 - Artificial intelligence: A boon for COVID-19 disease management -- 1. Introduction -- 2. Background -- 3. Some AI technologies that are helping to combat COVID-19: Part A -- 3.1 Modeling COVID-19 using data science methods -- 3.2 Artificial intelligence and the Internet of Things -- 3.3 Application of deep learning for medical image processing -- 3.4 Healthcare assistants (chatbots) -- 3.5 AI for face recognition and temperature detection -- 3.6 Use of drones and robots -- 3.7 AI as a cure -- 3.8 Apps based on AI -- 3.9 AI-based system for information verification apps -- 4. Some AI technologies that are helping in combating COVID-19: Part B -- 4.1 Infection identification in the nascent stage -- 4.2 Monitoring the treatment -- 4.3 Contact tracing of individuals -- 4.4 Projection of cases and mortality -- 4.5 Development of medicines and vaccines -- 4.6 Workload reduction of healthcare workers -- 4.7 Prevention -- 4.8 AI to control the spread of misinformation -- 5. Global health challenges and AI -- 6. Limitations of AI -- 7. Other updates about the COVID-19 vaccine -- 8. Future work and conclusion -- References -- 14 - Radiotherapy for pelvic malignancies in a COVID-19 pandemic scenario: Focus on rectal and cervical cancers -- 1. Introduction -- 2. Neoadjuvant treatment for locally advanced rectal cancer in a COVID-19 scenario. Is it time for a step back after a more ag ... -- 3. Multimodal treatment of locally advanced cervical cancer in a COVID-19 outbreak: Therapeutic options and arguments. , 4. Radiotherapy: A cornerstone of treatment for cervix cancer -- 5. The treatment of locally advanced cervical cancer in the COVID-19 era: A radiobiological approach -- References -- 15 - A warehouse of information, COVID HUB: Data handling made simple! -- 1. Introduction -- 2. Literature survey -- 3. Proposed methodology -- 3.1 Methodology -- 3.1.1 Homepage -- 3.1.2 News page -- 3.1.3 GPS-based COVID testing centers -- 3.1.4 Funzone for lockdown -- 3.2 COVID HUB -- 3.3 Implementation, results, and discussion -- 4. Conclusion -- References -- 16 - Publisher software application for Braille devices -- 1. Introduction -- 2. Theoretical foundation of the application -- 2.1 Braille electronic devices -- 2.2 Braille text translation engines -- 3. Description of the application -- 3.1 The work environment -- 3.2 Implementation of the source code -- 4. Experimental results -- 4.1 Testing of the application at the console level -- 5. Conclusions -- 6. Future work -- References -- 17 - Challenges caused by the pandemic for the recovery program of cervical disc herniation -- 1. Introduction -- 1.1 Morphological and functional components of the cervical spine -- 1.2 Biomechanics of the cervical spine -- 1.3 Innervation of the cervical area -- 2. Clinical aspects of cervical disc herniation -- 2.1 Terminology for cervical disc herniation -- 2.2 Symptomatology -- 2.3 Etiopathology -- 3. Examination for cervical disc herniation -- 3.1 Clinical examination -- 3.2 Paraclinical examinations -- 4. General treatment -- 4.1 Physiotherapy treatment -- 4.2 Prophylactic treatment -- 4.3 Surgical treatment -- 5. Research -- 5.1 Purpose of the research -- 5.2 Objectives -- 5.3 Venue and conditions -- 5.4 Study design -- 5.5 Presentation of cases -- 5.6 Work stages -- 5.6.1 Week 1 -- 5.6.1.1 The initial part -- 5.6.1.2 The final part -- 5.6.2 Week 2. , 5.6.2.1 The initial part.

Additional Edition: Print version: Balas, Valentina Emilia Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond San Diego : Elsevier Science & Technology,c2022 ISBN 9780323851749

Language: English

UID:

Format: VI, 319 p. 213 illus., 92 illus. in color. , online resource.

Edition: 1st ed. 2020.

ISBN: 9783030257972

Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 32

Content: This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge. Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats. Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field. Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to) spatial data visualization; biomedical visualization and applications; image/video summarization and visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph visualization; knowledge engineering; human–machine cooperation; metamodeling; natural language processing; architectures of database, expert and knowledge-based systems; knowledge acquisition methods; applications, case studies and management issues: data administration issues and knowledge; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and using KBSs in cyberspace; Semantic Web.

Note: Cross Projects Defect Prediction Modeling -- Recommendation Systems for Interactive Multimedia Entertainment -- Image Collection Summarization: Past, Present and Future -- Semantic Web and Data Visualization -- Analysis and Visualization of User Navigations on Web -- Research Trends for Named Entity Recognition in Hindi Language -- Data Visualization Techniques, Model and Taxonomy -- Prevalence of Visualization Techniques in Data Mining -- Relevant Subsection Retrieval for Law Domain Question Answer System -- Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network -- Challenges and Responses Towards Sustainable Future through Machine Learning and Deep learning -- A Deep Dive into Supervised Extractive and Abstractive Summarization from Text.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783030257965

Additional Edition: Printed edition: ISBN 9783030257989

Language: English

DOI: 10.1007/978-3-030-25797-2

URL: https://doi.org/10.1007/978-3-030-25797-2

UID:

Format: 1 online resource (384 pages)

ISBN: 0-323-85190-8

Content: Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond presents biomedical engineering applications used to manage people’s disabilities and care for the elderly to improve their quality of life and extend life expectancy. This edited book covers all aspects of assistive technologies, including the Internet of Things (IoT), telemedicine, e-Health, m-Health, smart sensors, robotics, devices for rehabilitation, and "serious" games. [...] The unique focus of this book is on the needs of this user base during emergency and disaster situations. The content includes risk reduction, emergency planning, response, disaster recovery, and needs assessment.

Note: Description based upon print version of record. , Front Cover -- Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond -- Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond -- Copyright -- Contents -- Contributors -- 1 - Physical activities for the elderly in a pandemic context during a relaxation of restrictions -- 1. SARS-CoV-2 and the pandemic context in Romania -- 2. Physical fitness -- 3. Energy systems required during exertion -- 4. Physical fitness workout principles -- 5. The effects of the aging process -- 6. Goals for a healthy lifestyle -- 7. Assessment of physical fitness of the elderly through tests -- 8. Outdoor physical exercise and monitoring the effort through electronic devices -- References -- 2 - Intelligent remote system for assessing a subject's health during sleep -- 1. Comfort and disease prevention using smart systems -- 2. Methods and algorithms used in data analysis -- 2.1 Artificial neural networks -- 2.2 Gradient descent and backpropagation -- 2.3 Stochastic gradient descent algorithm implementation -- 2.4 The KNN -(k nearest neighbors) algorithm -- 3. Project description -- 3.1 System description -- 3.2 Data collection -- 3.3 Data organizing -- 3.4 Building and training an ANN -- 3.4.1 Data preprocessing -- 3.4.2 ANN designing and training -- 4. Conclusions -- References -- Further Reading -- 3 - A study on the recent developments in voltammetric sensors for the β-blocker propranolol hydrochloride -- 1. Introduction -- 2. Electrochemical sensors for the detection of PRO -- 3. Conclusion and future perspective -- Acknowledgment -- References -- 4 - Cloud-IoMT-based wearable body sensors network for monitoring elderly patients during the COVID-19 pandemic -- 1. Introduction -- 2. The Internet of Medical Things for COVID-19. , 2.1 Working process during the COVID-19 pandemic using the IoMT -- 3. The wearable body sensors network for COVID-19 -- 4. Cloud-IoMT-based WBSN framework for monitoring elderly patients during the COVID-19 pandemic -- 4.1 System framework -- 4.1.1 Elderly patients' layer (wearable devices) -- 4.1.2 Cloud-IoMT-based (data layer) -- 4.1.3 Elderly monitoring and alert platform (hospital layer) -- 4.1.4 Gateway -- 5. Practical case for CI-WBSN monitoring of elderly patients during the COVID-19 pandemic -- 6. Discussion and future research directions -- 7. Conclusion -- References -- 5 - Indoor physical activities for the elderly during the SARS-CoV-2/COVID-19 pandemic -- SARS-CoV-2/COVID-19 and the emergency state in Romania -- 2. Motor capacity and physical activity -- 2.1 Motor skills -- 2.1.1 Basic motor skills -- 2.1.2 Applicative-utilitarian motor skills -- 2.1.3 Sport-specific motor skills -- 3. Warm-up before physical activities -- 4. Physical exercises and prophylaxis -- 5. Diet and physical activities -- 6. Aging -- 7. Indoor physical activities and maintaining of the health status and exertion -- References -- 6 - Animated line, bar, and bubble plots for better COVID case analysis: Using R programming -- 1. Introduction -- 2. Methods -- 3. Animated line plot -- 4. Animated bar plot -- 5. Bubble plot animation -- 6. Conclusion -- References -- 7 - Applications of physical activity before and during the COVID-19 pandemic for the elderly -- 1. Biopsychomotor particulars of senior citizens -- 2. Applications of aquatic activity in the third age -- 3. Applications of physical activity-medical gymnastics -- 4. Evaluation methods -- 5. Conclusions -- References -- 8 - Recovery activities for the locomotor system during the COVID-19 pandemic -- 1. Theoretical-methodical aspects of pathophysiology of posttraumatic sequelae. , 2. Development of recovery programs for musculoskeletal injuries during the COVID-19 pandemic -- 2.1 Methodical indications -- 3. Methods of evaluation of the musculoskeletal system -- 4. Complementary methods and techniques in posttraumatic recovery of the musculoskeletal system -- References -- 9 - The emerging association between boredom, COVID-19 anxiety, and aggressiveness in imposed prolonged social isol ... -- 1. Introduction -- 1.1 Social isolation and its effects in the general population -- 1.2 Boredom -- 2. Materials and methods -- 2.1 Objective and hypothesis -- 2.2 Participants -- 2.3 Instruments -- 2.4 Study design and procedure -- 3. Results and discussion -- 4. Discussions and conclusion -- References -- 10 - COVID-19 research: Open data resources and challenges -- 1. Introduction -- 2. COVID-19 and data-driven techniques -- 3. Medical image data sources -- 3.1 CT scans -- 3.1.1 X-ray -- 4. Useful text datasets on COVID-19 -- 4.1 Case report -- 4.2 Report analysis of COVID-19 cases -- 4.2.1 Transmission analysis -- 4.2.2 NPI analysis -- 4.3 Social media text data -- 4.4 Scholarly articles -- 4.5 NPI data and data on elderly people -- 5. Mobility datasets -- 6. Speech dataset -- 6.1 Diagnosis based on cough sound -- 6.2 Diagnosis based on breathing -- 6.3 Severity Estimation Using Speech -- 7. Challenges and future directions -- 7.1 Open-source data -- 7.1.1 Challenges due to AI/ML-based interventions -- 7.2 Challenges with medical data -- 7.3 Challenges with textual data -- 8. Conclusion -- References -- 11 - Comprehending COVID-19 as a contact network -- 1. Introduction -- 2. Graph theory for COVID-19 -- 3. Conclusion -- References -- 12 - Coronavirus: Diagnosis, detection, and analysis -- 1. Introduction -- 2. Effects of COVID-19 on the respiratory system -- 3. Symptoms of COVID-19 -- 4. Transmission of COVID-19. , 5. Diagnosis of COVID-19 -- 6. Biosensors for coronavirus detection -- 7. Detection and measurement of bios-Species at the circuit level -- 8. Engineered nanomaterials with an artificial intelligence prediction model -- 9. Prediction and analysis with a machine learning approach -- 10. Conclusion -- References -- 13 - Artificial intelligence: A boon for COVID-19 disease management -- 1. Introduction -- 2. Background -- 3. Some AI technologies that are helping to combat COVID-19: Part A -- 3.1 Modeling COVID-19 using data science methods -- 3.2 Artificial intelligence and the Internet of Things -- 3.3 Application of deep learning for medical image processing -- 3.4 Healthcare assistants (chatbots) -- 3.5 AI for face recognition and temperature detection -- 3.6 Use of drones and robots -- 3.7 AI as a cure -- 3.8 Apps based on AI -- 3.9 AI-based system for information verification apps -- 4. Some AI technologies that are helping in combating COVID-19: Part B -- 4.1 Infection identification in the nascent stage -- 4.2 Monitoring the treatment -- 4.3 Contact tracing of individuals -- 4.4 Projection of cases and mortality -- 4.5 Development of medicines and vaccines -- 4.6 Workload reduction of healthcare workers -- 4.7 Prevention -- 4.8 AI to control the spread of misinformation -- 5. Global health challenges and AI -- 6. Limitations of AI -- 7. Other updates about the COVID-19 vaccine -- 8. Future work and conclusion -- References -- 14 - Radiotherapy for pelvic malignancies in a COVID-19 pandemic scenario: Focus on rectal and cervical cancers -- 1. Introduction -- 2. Neoadjuvant treatment for locally advanced rectal cancer in a COVID-19 scenario. Is it time for a step back after a more ag ... -- 3. Multimodal treatment of locally advanced cervical cancer in a COVID-19 outbreak: Therapeutic options and arguments. , 4. Radiotherapy: A cornerstone of treatment for cervix cancer -- 5. The treatment of locally advanced cervical cancer in the COVID-19 era: A radiobiological approach -- References -- 15 - A warehouse of information, COVID HUB: Data handling made simple! -- 1. Introduction -- 2. Literature survey -- 3. Proposed methodology -- 3.1 Methodology -- 3.1.1 Homepage -- 3.1.2 News page -- 3.1.3 GPS-based COVID testing centers -- 3.1.4 Funzone for lockdown -- 3.2 COVID HUB -- 3.3 Implementation, results, and discussion -- 4. Conclusion -- References -- 16 - Publisher software application for Braille devices -- 1. Introduction -- 2. Theoretical foundation of the application -- 2.1 Braille electronic devices -- 2.2 Braille text translation engines -- 3. Description of the application -- 3.1 The work environment -- 3.2 Implementation of the source code -- 4. Experimental results -- 4.1 Testing of the application at the console level -- 5. Conclusions -- 6. Future work -- References -- 17 - Challenges caused by the pandemic for the recovery program of cervical disc herniation -- 1. Introduction -- 1.1 Morphological and functional components of the cervical spine -- 1.2 Biomechanics of the cervical spine -- 1.3 Innervation of the cervical area -- 2. Clinical aspects of cervical disc herniation -- 2.1 Terminology for cervical disc herniation -- 2.2 Symptomatology -- 2.3 Etiopathology -- 3. Examination for cervical disc herniation -- 3.1 Clinical examination -- 3.2 Paraclinical examinations -- 4. General treatment -- 4.1 Physiotherapy treatment -- 4.2 Prophylactic treatment -- 4.3 Surgical treatment -- 5. Research -- 5.1 Purpose of the research -- 5.2 Objectives -- 5.3 Venue and conditions -- 5.4 Study design -- 5.5 Presentation of cases -- 5.6 Work stages -- 5.6.1 Week 1 -- 5.6.1.1 The initial part -- 5.6.1.2 The final part -- 5.6.2 Week 2. , 5.6.2.1 The initial part.

Additional Edition: Print version: Balas, Valentina Emilia Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond San Diego : Elsevier Science & Technology,c2022 ISBN 9780323851749

Language: English

UID:

Format: 1 online resource (384 pages)

ISBN: 0-323-85190-8

Content: Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond presents biomedical engineering applications used to manage people’s disabilities and care for the elderly to improve their quality of life and extend life expectancy. This edited book covers all aspects of assistive technologies, including the Internet of Things (IoT), telemedicine, e-Health, m-Health, smart sensors, robotics, devices for rehabilitation, and "serious" games. [...] The unique focus of this book is on the needs of this user base during emergency and disaster situations. The content includes risk reduction, emergency planning, response, disaster recovery, and needs assessment.

Note: Description based upon print version of record. , Front Cover -- Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond -- Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond -- Copyright -- Contents -- Contributors -- 1 - Physical activities for the elderly in a pandemic context during a relaxation of restrictions -- 1. SARS-CoV-2 and the pandemic context in Romania -- 2. Physical fitness -- 3. Energy systems required during exertion -- 4. Physical fitness workout principles -- 5. The effects of the aging process -- 6. Goals for a healthy lifestyle -- 7. Assessment of physical fitness of the elderly through tests -- 8. Outdoor physical exercise and monitoring the effort through electronic devices -- References -- 2 - Intelligent remote system for assessing a subject's health during sleep -- 1. Comfort and disease prevention using smart systems -- 2. Methods and algorithms used in data analysis -- 2.1 Artificial neural networks -- 2.2 Gradient descent and backpropagation -- 2.3 Stochastic gradient descent algorithm implementation -- 2.4 The KNN -(k nearest neighbors) algorithm -- 3. Project description -- 3.1 System description -- 3.2 Data collection -- 3.3 Data organizing -- 3.4 Building and training an ANN -- 3.4.1 Data preprocessing -- 3.4.2 ANN designing and training -- 4. Conclusions -- References -- Further Reading -- 3 - A study on the recent developments in voltammetric sensors for the β-blocker propranolol hydrochloride -- 1. Introduction -- 2. Electrochemical sensors for the detection of PRO -- 3. Conclusion and future perspective -- Acknowledgment -- References -- 4 - Cloud-IoMT-based wearable body sensors network for monitoring elderly patients during the COVID-19 pandemic -- 1. Introduction -- 2. The Internet of Medical Things for COVID-19. , 2.1 Working process during the COVID-19 pandemic using the IoMT -- 3. The wearable body sensors network for COVID-19 -- 4. Cloud-IoMT-based WBSN framework for monitoring elderly patients during the COVID-19 pandemic -- 4.1 System framework -- 4.1.1 Elderly patients' layer (wearable devices) -- 4.1.2 Cloud-IoMT-based (data layer) -- 4.1.3 Elderly monitoring and alert platform (hospital layer) -- 4.1.4 Gateway -- 5. Practical case for CI-WBSN monitoring of elderly patients during the COVID-19 pandemic -- 6. Discussion and future research directions -- 7. Conclusion -- References -- 5 - Indoor physical activities for the elderly during the SARS-CoV-2/COVID-19 pandemic -- SARS-CoV-2/COVID-19 and the emergency state in Romania -- 2. Motor capacity and physical activity -- 2.1 Motor skills -- 2.1.1 Basic motor skills -- 2.1.2 Applicative-utilitarian motor skills -- 2.1.3 Sport-specific motor skills -- 3. Warm-up before physical activities -- 4. Physical exercises and prophylaxis -- 5. Diet and physical activities -- 6. Aging -- 7. Indoor physical activities and maintaining of the health status and exertion -- References -- 6 - Animated line, bar, and bubble plots for better COVID case analysis: Using R programming -- 1. Introduction -- 2. Methods -- 3. Animated line plot -- 4. Animated bar plot -- 5. Bubble plot animation -- 6. Conclusion -- References -- 7 - Applications of physical activity before and during the COVID-19 pandemic for the elderly -- 1. Biopsychomotor particulars of senior citizens -- 2. Applications of aquatic activity in the third age -- 3. Applications of physical activity-medical gymnastics -- 4. Evaluation methods -- 5. Conclusions -- References -- 8 - Recovery activities for the locomotor system during the COVID-19 pandemic -- 1. Theoretical-methodical aspects of pathophysiology of posttraumatic sequelae. , 2. Development of recovery programs for musculoskeletal injuries during the COVID-19 pandemic -- 2.1 Methodical indications -- 3. Methods of evaluation of the musculoskeletal system -- 4. Complementary methods and techniques in posttraumatic recovery of the musculoskeletal system -- References -- 9 - The emerging association between boredom, COVID-19 anxiety, and aggressiveness in imposed prolonged social isol ... -- 1. Introduction -- 1.1 Social isolation and its effects in the general population -- 1.2 Boredom -- 2. Materials and methods -- 2.1 Objective and hypothesis -- 2.2 Participants -- 2.3 Instruments -- 2.4 Study design and procedure -- 3. Results and discussion -- 4. Discussions and conclusion -- References -- 10 - COVID-19 research: Open data resources and challenges -- 1. Introduction -- 2. COVID-19 and data-driven techniques -- 3. Medical image data sources -- 3.1 CT scans -- 3.1.1 X-ray -- 4. Useful text datasets on COVID-19 -- 4.1 Case report -- 4.2 Report analysis of COVID-19 cases -- 4.2.1 Transmission analysis -- 4.2.2 NPI analysis -- 4.3 Social media text data -- 4.4 Scholarly articles -- 4.5 NPI data and data on elderly people -- 5. Mobility datasets -- 6. Speech dataset -- 6.1 Diagnosis based on cough sound -- 6.2 Diagnosis based on breathing -- 6.3 Severity Estimation Using Speech -- 7. Challenges and future directions -- 7.1 Open-source data -- 7.1.1 Challenges due to AI/ML-based interventions -- 7.2 Challenges with medical data -- 7.3 Challenges with textual data -- 8. Conclusion -- References -- 11 - Comprehending COVID-19 as a contact network -- 1. Introduction -- 2. Graph theory for COVID-19 -- 3. Conclusion -- References -- 12 - Coronavirus: Diagnosis, detection, and analysis -- 1. Introduction -- 2. Effects of COVID-19 on the respiratory system -- 3. Symptoms of COVID-19 -- 4. Transmission of COVID-19. , 5. Diagnosis of COVID-19 -- 6. Biosensors for coronavirus detection -- 7. Detection and measurement of bios-Species at the circuit level -- 8. Engineered nanomaterials with an artificial intelligence prediction model -- 9. Prediction and analysis with a machine learning approach -- 10. Conclusion -- References -- 13 - Artificial intelligence: A boon for COVID-19 disease management -- 1. Introduction -- 2. Background -- 3. Some AI technologies that are helping to combat COVID-19: Part A -- 3.1 Modeling COVID-19 using data science methods -- 3.2 Artificial intelligence and the Internet of Things -- 3.3 Application of deep learning for medical image processing -- 3.4 Healthcare assistants (chatbots) -- 3.5 AI for face recognition and temperature detection -- 3.6 Use of drones and robots -- 3.7 AI as a cure -- 3.8 Apps based on AI -- 3.9 AI-based system for information verification apps -- 4. Some AI technologies that are helping in combating COVID-19: Part B -- 4.1 Infection identification in the nascent stage -- 4.2 Monitoring the treatment -- 4.3 Contact tracing of individuals -- 4.4 Projection of cases and mortality -- 4.5 Development of medicines and vaccines -- 4.6 Workload reduction of healthcare workers -- 4.7 Prevention -- 4.8 AI to control the spread of misinformation -- 5. Global health challenges and AI -- 6. Limitations of AI -- 7. Other updates about the COVID-19 vaccine -- 8. Future work and conclusion -- References -- 14 - Radiotherapy for pelvic malignancies in a COVID-19 pandemic scenario: Focus on rectal and cervical cancers -- 1. Introduction -- 2. Neoadjuvant treatment for locally advanced rectal cancer in a COVID-19 scenario. Is it time for a step back after a more ag ... -- 3. Multimodal treatment of locally advanced cervical cancer in a COVID-19 outbreak: Therapeutic options and arguments. , 4. Radiotherapy: A cornerstone of treatment for cervix cancer -- 5. The treatment of locally advanced cervical cancer in the COVID-19 era: A radiobiological approach -- References -- 15 - A warehouse of information, COVID HUB: Data handling made simple! -- 1. Introduction -- 2. Literature survey -- 3. Proposed methodology -- 3.1 Methodology -- 3.1.1 Homepage -- 3.1.2 News page -- 3.1.3 GPS-based COVID testing centers -- 3.1.4 Funzone for lockdown -- 3.2 COVID HUB -- 3.3 Implementation, results, and discussion -- 4. Conclusion -- References -- 16 - Publisher software application for Braille devices -- 1. Introduction -- 2. Theoretical foundation of the application -- 2.1 Braille electronic devices -- 2.2 Braille text translation engines -- 3. Description of the application -- 3.1 The work environment -- 3.2 Implementation of the source code -- 4. Experimental results -- 4.1 Testing of the application at the console level -- 5. Conclusions -- 6. Future work -- References -- 17 - Challenges caused by the pandemic for the recovery program of cervical disc herniation -- 1. Introduction -- 1.1 Morphological and functional components of the cervical spine -- 1.2 Biomechanics of the cervical spine -- 1.3 Innervation of the cervical area -- 2. Clinical aspects of cervical disc herniation -- 2.1 Terminology for cervical disc herniation -- 2.2 Symptomatology -- 2.3 Etiopathology -- 3. Examination for cervical disc herniation -- 3.1 Clinical examination -- 3.2 Paraclinical examinations -- 4. General treatment -- 4.1 Physiotherapy treatment -- 4.2 Prophylactic treatment -- 4.3 Surgical treatment -- 5. Research -- 5.1 Purpose of the research -- 5.2 Objectives -- 5.3 Venue and conditions -- 5.4 Study design -- 5.5 Presentation of cases -- 5.6 Work stages -- 5.6.1 Week 1 -- 5.6.1.1 The initial part -- 5.6.1.2 The final part -- 5.6.2 Week 2. , 5.6.2.1 The initial part.

Additional Edition: Print version: Balas, Valentina Emilia Biomedical Engineering Applications for People with Disabilities and the Elderly in the COVID-19 Pandemic and Beyond San Diego : Elsevier Science & Technology,c2022 ISBN 9780323851749

Language: English

UID:

Format: 1 online resource (321 pages)

Edition: 1st ed. 2020.

ISBN: 3-030-25797-5

Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 32

Content: This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge. Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats. Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field. Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to) spatial data visualization; biomedical visualization and applications; image/video summarization and visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph visualization; knowledge engineering; human–machine cooperation; metamodeling; natural language processing; architectures of database, expert and knowledge-based systems; knowledge acquisition methods; applications, case studies and management issues: data administration issues and knowledge; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and using KBSs in cyberspace; Semantic Web.

Note: Cross Projects Defect Prediction Modeling -- Recommendation Systems for Interactive Multimedia Entertainment -- Image Collection Summarization: Past, Present and Future -- Semantic Web and Data Visualization -- Analysis and Visualization of User Navigations on Web -- Research Trends for Named Entity Recognition in Hindi Language -- Data Visualization Techniques, Model and Taxonomy -- Prevalence of Visualization Techniques in Data Mining -- Relevant Subsection Retrieval for Law Domain Question Answer System -- Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network -- Challenges and Responses Towards Sustainable Future through Machine Learning and Deep learning -- A Deep Dive into Supervised Extractive and Abstractive Summarization from Text.

Additional Edition: ISBN 3-030-25796-7

Language: English

DOI: 10.1007/978-3-030-25797-2

UID:

Format: 1 Online-Ressource (xi, 204 Seiten) : , Illustrationen, Diagramme.

ISBN: 978-0-12-824473-9 , 9780323859950

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-0-12-824473-9

Language: English

Keywords: Aufsatzsammlung