Ambient Assisted Living (AAL) Technologies
Transitioning from Healthcare 4.0 to Healthcare 5.0
Herausgeber: Kumar, Jeetendra; Blanco Valenc, Xiomara Patricia; Gupta, Rashmi; Goyal, Lalit Mohan
Ambient Assisted Living (AAL) Technologies
Transitioning from Healthcare 4.0 to Healthcare 5.0
Herausgeber: Kumar, Jeetendra; Blanco Valenc, Xiomara Patricia; Gupta, Rashmi; Goyal, Lalit Mohan
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The topic of AAL is already a part of the curriculum in many universities and institutes, and this book will help students explore the various applications of NLP within this field. In addition, individuals looking to engage in innovative projects can find inspiration from the latest advancements in AAL
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The topic of AAL is already a part of the curriculum in many universities and institutes, and this book will help students explore the various applications of NLP within this field. In addition, individuals looking to engage in innovative projects can find inspiration from the latest advancements in AAL
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 288
- Erscheinungstermin: 17. April 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032858593
- ISBN-10: 1032858591
- Artikelnr.: 72002293
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 288
- Erscheinungstermin: 17. April 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032858593
- ISBN-10: 1032858591
- Artikelnr.: 72002293
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Rashmi Gupta holds a Ph.D. degree in Computer Applications from the NIT, Raipur. Currently, she serves as an Assistant Professor in the Department of Computer Science and Application at Atal Bihari Vajpayee University Bilaspur, Chhattisgarh. She has published more than 20 research papers, conference papers, and book chapters and has been awarded grants by AICTE to organize the ATAL Faculty Development Program and by the Science and Engineering Research Board, DST for conducting High-end Workshops and Internships. Demonstrating her commitment to mentorship, Dr. Gupta has guided over 30 PG and 20 UG students in their research-related major projects. With over 10 years of teaching experience, her research interests encompass Natural Language Processing, EEG signal processing, and Human activity recognition. Xiomara Patricia Blanco Valencia, a Ph.D. holder in Computer Science and Automation with a Master's in Intelligent Systems, has been a faculty member at Universidad International de la Rioja since 2019. She excels as a teacher and researcher in Artificial Intelligence and Data Governance, notably as Managing Editor at IJIMAI since 2021. Formerly at CYTOGNOS as a Software Analyst-Programmer, her work on the MIDAS project showcased her proficiency in Java programming and AI techniques. Her extensive publication record underscores her commitment to advancing computer science and automation, making her a pivotal figure in academia and industry. With a rich academic journey, including a Ph.D. candidacy at the University of Salamanca, Xiomara's expertise spans case-based reasoning, medical diagnosis, and AI applications. Dr. Lalit Mohan Goyal, an Assistant Professor in the Department of Computer Engineering at J.C. Bose University of Science and Technology, YMCA, Faridabad, boasts over 19 years of extensive experience in both teaching and research. He has significantly contributed to the academic realm with 29 SCI and SCIE indexed research papers published across esteemed journals such as IEEE, Springer, and Elsevier. Additionally, Dr. Goyal holds eight patents and has served as the editor for 5 books and author of 11 book chapters published by renowned publishers like Springer and CRC Press. His leadership further exemplifies his dedication to advancing knowledge in a research project granted by ICMR, New Delhi, and his role as a reviewer for reputable journals including Springer, IEEE, and ACM publications. Dr. Goyal's research interests span various domains, including Data Mining, Theory of Computation, Discrete Mathematics, and Data Structures and Algorithms. Moreover, he has imparted his expertise by delivering over 20 keynote lectures in numerous workshops and conferences, further establishing himself as a respected person in the field. Jeetendra Kumar has been working as an Assistant Professor in the Department of Computer Science and Application at Atal Bihari Vajpayee University, Bilaspur, Chhattisgarh, India for the last 10 years. He holds a master's degree (M.Sc.) and a Master of Technology (M. Tech.) in Computer Science. He has published various research articles in reputed journals and conferences, including topics such as sentiment analysis, fall detection using machine learning techniques, IoT applications, automatic question generation, etc. He has also contributed book chapters on topics related to neuroscience, smartphone applications, and fog computing in healthcare. Dr. Kumar has completed two research projects sponsored by the State Planning Commission, C.G., and Commonwealth Media Centre for Asia (CEMCA) New Delhi and Atal Bihari Vajpayee University, Bilaspur. He is also a member of prestigious academic societies such as IEEE, the Indian Science Congress, the International Association of Engineers (IAENG), the International Computer Science and Engineering Society (ICSES), and the International Association of Academicians (IAASSE).
Section-1 Overview and recent advances in ambient assisted living(AAL)
technologies in Healthcare 4.0
Chapter 1 Overview and Recent Advances in Ambient Assisted Living
Technologies Transitioning from Healthcare 4.0 to Healthcare 5.0
Pattisapu Manikanta Manohar
Section-2 Advances in enabling technologies for assisted living in
Healthcare 5.0
Chapter 2 Wearable and Ambient Sensors Applicable in Medical Laboratory and
Diagnostic Services in Healthcare
Eno Chongs Mantu, Dooshima Augustina Orshio, Uchejeso Mark Obeta
Chapter 3 GuardianMeds: Empowering Elderly Care with IoT Medication
Monitoring
Kasarapu Ramani, Irala Suneetha, Nainaru Pushpalatha, P. Harish
Chapter 4vInternet of Things (IoT), Fog computing, and communication
infrastructures for assisted living
Paula Lamo, J. Javier Rainer
Chapter 5 Blockchain for trust, privacy and Security in Assisted Living
Shikha Mittal, Chetna Monga, Suvarna Sharma, Kashish Mukhija 88
Section- 3 Artificial Intelligence (AI) for data analysis for assisted
living in Healthcare 5.0
Chapter 6 Human fall detection using one-class support vector machine
classifier and feature ranking
Rashmi Gupta, Jeetendra Kumar
Chapter 7 Prediction of clinical drug response using Machine Learning
Nidhika Chauhan, Navneet Kaur
Chapter 8 Novel Approaches to Pill Dispensing: Tackling Non-Adherence in
the Management of Chronic Diseases
Inderpreet Kaur, Ujjwal Matoliya, Dharmendra Dangi
Chapter 9 Cognitive Impairment Assessment: Role of Artificial Intelligence
in Transforming early detection and care
Richa Singh, Anurag Upadhyay
Chapter 10 Diet Management for Diabetes patients using AI
Seema P. Nehete
Chapter 11 Optimizing Diabetes Classification: Hybrid FLANN Model with
Evolutionary Optimization Techniques
P. Pujari
Chapter 12 Leveraging Technology for Healthcare Transformation:
Telemedicine and Remote Health Monitoring
S.N Kumar, Prabu Selvam, Jomin Joy, Nicole Rakov, Alan James
Section-4 Natural language processing (NLP) for assisted living in
Healthcare 5.0
Chapter 13 Ethical Considerations of AI and Data Security in Assisted
Living of this Era
Uchejeso Mark Obeta, Nkechinyere Linda Obeta
Chapter 14 The Impact of Telemedicine Technologies on Brain Small Vessel
Disease and Ethical Concerns
Gopi Battineni, Sharmin Chougule, Nalini Chintalapudi, Giovanna Ricci,
Francesco Amenta
Chapter 15 NLP Techniques and Applications in Healthcare Systems
Atul Kumar
Chapter 16 Speech Emotion Recognition for Dialogue Systems
M. Soundarya, R. Nancy Deborah, G. Sivakarthi, A.Vinora
Chapter 17 Text Analytics for Health Records and Documentations
N.Sharmila Banu, K. Deepa
technologies in Healthcare 4.0
Chapter 1 Overview and Recent Advances in Ambient Assisted Living
Technologies Transitioning from Healthcare 4.0 to Healthcare 5.0
Pattisapu Manikanta Manohar
Section-2 Advances in enabling technologies for assisted living in
Healthcare 5.0
Chapter 2 Wearable and Ambient Sensors Applicable in Medical Laboratory and
Diagnostic Services in Healthcare
Eno Chongs Mantu, Dooshima Augustina Orshio, Uchejeso Mark Obeta
Chapter 3 GuardianMeds: Empowering Elderly Care with IoT Medication
Monitoring
Kasarapu Ramani, Irala Suneetha, Nainaru Pushpalatha, P. Harish
Chapter 4vInternet of Things (IoT), Fog computing, and communication
infrastructures for assisted living
Paula Lamo, J. Javier Rainer
Chapter 5 Blockchain for trust, privacy and Security in Assisted Living
Shikha Mittal, Chetna Monga, Suvarna Sharma, Kashish Mukhija 88
Section- 3 Artificial Intelligence (AI) for data analysis for assisted
living in Healthcare 5.0
Chapter 6 Human fall detection using one-class support vector machine
classifier and feature ranking
Rashmi Gupta, Jeetendra Kumar
Chapter 7 Prediction of clinical drug response using Machine Learning
Nidhika Chauhan, Navneet Kaur
Chapter 8 Novel Approaches to Pill Dispensing: Tackling Non-Adherence in
the Management of Chronic Diseases
Inderpreet Kaur, Ujjwal Matoliya, Dharmendra Dangi
Chapter 9 Cognitive Impairment Assessment: Role of Artificial Intelligence
in Transforming early detection and care
Richa Singh, Anurag Upadhyay
Chapter 10 Diet Management for Diabetes patients using AI
Seema P. Nehete
Chapter 11 Optimizing Diabetes Classification: Hybrid FLANN Model with
Evolutionary Optimization Techniques
P. Pujari
Chapter 12 Leveraging Technology for Healthcare Transformation:
Telemedicine and Remote Health Monitoring
S.N Kumar, Prabu Selvam, Jomin Joy, Nicole Rakov, Alan James
Section-4 Natural language processing (NLP) for assisted living in
Healthcare 5.0
Chapter 13 Ethical Considerations of AI and Data Security in Assisted
Living of this Era
Uchejeso Mark Obeta, Nkechinyere Linda Obeta
Chapter 14 The Impact of Telemedicine Technologies on Brain Small Vessel
Disease and Ethical Concerns
Gopi Battineni, Sharmin Chougule, Nalini Chintalapudi, Giovanna Ricci,
Francesco Amenta
Chapter 15 NLP Techniques and Applications in Healthcare Systems
Atul Kumar
Chapter 16 Speech Emotion Recognition for Dialogue Systems
M. Soundarya, R. Nancy Deborah, G. Sivakarthi, A.Vinora
Chapter 17 Text Analytics for Health Records and Documentations
N.Sharmila Banu, K. Deepa
Section-1 Overview and recent advances in ambient assisted living(AAL)
technologies in Healthcare 4.0
Chapter 1 Overview and Recent Advances in Ambient Assisted Living
Technologies Transitioning from Healthcare 4.0 to Healthcare 5.0
Pattisapu Manikanta Manohar
Section-2 Advances in enabling technologies for assisted living in
Healthcare 5.0
Chapter 2 Wearable and Ambient Sensors Applicable in Medical Laboratory and
Diagnostic Services in Healthcare
Eno Chongs Mantu, Dooshima Augustina Orshio, Uchejeso Mark Obeta
Chapter 3 GuardianMeds: Empowering Elderly Care with IoT Medication
Monitoring
Kasarapu Ramani, Irala Suneetha, Nainaru Pushpalatha, P. Harish
Chapter 4vInternet of Things (IoT), Fog computing, and communication
infrastructures for assisted living
Paula Lamo, J. Javier Rainer
Chapter 5 Blockchain for trust, privacy and Security in Assisted Living
Shikha Mittal, Chetna Monga, Suvarna Sharma, Kashish Mukhija 88
Section- 3 Artificial Intelligence (AI) for data analysis for assisted
living in Healthcare 5.0
Chapter 6 Human fall detection using one-class support vector machine
classifier and feature ranking
Rashmi Gupta, Jeetendra Kumar
Chapter 7 Prediction of clinical drug response using Machine Learning
Nidhika Chauhan, Navneet Kaur
Chapter 8 Novel Approaches to Pill Dispensing: Tackling Non-Adherence in
the Management of Chronic Diseases
Inderpreet Kaur, Ujjwal Matoliya, Dharmendra Dangi
Chapter 9 Cognitive Impairment Assessment: Role of Artificial Intelligence
in Transforming early detection and care
Richa Singh, Anurag Upadhyay
Chapter 10 Diet Management for Diabetes patients using AI
Seema P. Nehete
Chapter 11 Optimizing Diabetes Classification: Hybrid FLANN Model with
Evolutionary Optimization Techniques
P. Pujari
Chapter 12 Leveraging Technology for Healthcare Transformation:
Telemedicine and Remote Health Monitoring
S.N Kumar, Prabu Selvam, Jomin Joy, Nicole Rakov, Alan James
Section-4 Natural language processing (NLP) for assisted living in
Healthcare 5.0
Chapter 13 Ethical Considerations of AI and Data Security in Assisted
Living of this Era
Uchejeso Mark Obeta, Nkechinyere Linda Obeta
Chapter 14 The Impact of Telemedicine Technologies on Brain Small Vessel
Disease and Ethical Concerns
Gopi Battineni, Sharmin Chougule, Nalini Chintalapudi, Giovanna Ricci,
Francesco Amenta
Chapter 15 NLP Techniques and Applications in Healthcare Systems
Atul Kumar
Chapter 16 Speech Emotion Recognition for Dialogue Systems
M. Soundarya, R. Nancy Deborah, G. Sivakarthi, A.Vinora
Chapter 17 Text Analytics for Health Records and Documentations
N.Sharmila Banu, K. Deepa
technologies in Healthcare 4.0
Chapter 1 Overview and Recent Advances in Ambient Assisted Living
Technologies Transitioning from Healthcare 4.0 to Healthcare 5.0
Pattisapu Manikanta Manohar
Section-2 Advances in enabling technologies for assisted living in
Healthcare 5.0
Chapter 2 Wearable and Ambient Sensors Applicable in Medical Laboratory and
Diagnostic Services in Healthcare
Eno Chongs Mantu, Dooshima Augustina Orshio, Uchejeso Mark Obeta
Chapter 3 GuardianMeds: Empowering Elderly Care with IoT Medication
Monitoring
Kasarapu Ramani, Irala Suneetha, Nainaru Pushpalatha, P. Harish
Chapter 4vInternet of Things (IoT), Fog computing, and communication
infrastructures for assisted living
Paula Lamo, J. Javier Rainer
Chapter 5 Blockchain for trust, privacy and Security in Assisted Living
Shikha Mittal, Chetna Monga, Suvarna Sharma, Kashish Mukhija 88
Section- 3 Artificial Intelligence (AI) for data analysis for assisted
living in Healthcare 5.0
Chapter 6 Human fall detection using one-class support vector machine
classifier and feature ranking
Rashmi Gupta, Jeetendra Kumar
Chapter 7 Prediction of clinical drug response using Machine Learning
Nidhika Chauhan, Navneet Kaur
Chapter 8 Novel Approaches to Pill Dispensing: Tackling Non-Adherence in
the Management of Chronic Diseases
Inderpreet Kaur, Ujjwal Matoliya, Dharmendra Dangi
Chapter 9 Cognitive Impairment Assessment: Role of Artificial Intelligence
in Transforming early detection and care
Richa Singh, Anurag Upadhyay
Chapter 10 Diet Management for Diabetes patients using AI
Seema P. Nehete
Chapter 11 Optimizing Diabetes Classification: Hybrid FLANN Model with
Evolutionary Optimization Techniques
P. Pujari
Chapter 12 Leveraging Technology for Healthcare Transformation:
Telemedicine and Remote Health Monitoring
S.N Kumar, Prabu Selvam, Jomin Joy, Nicole Rakov, Alan James
Section-4 Natural language processing (NLP) for assisted living in
Healthcare 5.0
Chapter 13 Ethical Considerations of AI and Data Security in Assisted
Living of this Era
Uchejeso Mark Obeta, Nkechinyere Linda Obeta
Chapter 14 The Impact of Telemedicine Technologies on Brain Small Vessel
Disease and Ethical Concerns
Gopi Battineni, Sharmin Chougule, Nalini Chintalapudi, Giovanna Ricci,
Francesco Amenta
Chapter 15 NLP Techniques and Applications in Healthcare Systems
Atul Kumar
Chapter 16 Speech Emotion Recognition for Dialogue Systems
M. Soundarya, R. Nancy Deborah, G. Sivakarthi, A.Vinora
Chapter 17 Text Analytics for Health Records and Documentations
N.Sharmila Banu, K. Deepa