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Autor(en) / Beteiligte
Titel
Biomedical engineering applications for people with disabilities and the elderly in the COVID-19 pandemic and beyond
Ort / Verlag
London, England ; : Elsevier,
Erscheinungsjahr
[2022]
Link zum Volltext
Beschreibungen/Notizen
  • Description based upon print version of record.
  • Includes bibliographical references and index.
  • 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.
  • Description based on print version record.
Sprache
Identifikatoren
ISBN: 0-323-85190-8
Titel-ID: 9925022618006463
Format
1 online resource (384 pages)
Schlagworte
Biomedical engineering