Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach

Cover
Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach
Copyright
Contents
List of contributors
About the editors
Preface
1 A neoteric swarm intelligence stationed IOT–IWD algorithm for revolutionizing pharmaceutical industry leading to digital ...
	1.1 Introduction
	1.2 Related work
	1.3 Proposed neoteric swarm intelligence stationed IOT–IWD algorithm for ZRP optimization for digital health
	1.4 Simulation results
	1.5 Conclusion and discussions
	References
	Further reading
2 A survey on Internet-of-Thing applications using electroencephalogram
	2.1 Introduction
	2.2 Electroencephalogram acquisition techniques
		2.2.1 Invasive
		2.2.2 Noninvasive
	2.3 Channel selection techniques
		2.3.1 Filtering
		2.3.2 Wrapper
		2.3.3 Embedded
		2.3.4 Hybrid
		2.3.5 Human-based technique
	2.4 Different brain signals
	2.5 Preprocessing of electroencephalogram signals
	2.6 Feature extraction and classification from electroencephalogram signal
	2.7 Classification of electroencephalogram signals based on features
		2.7.1 k-Nearest neighbor
		2.7.2 Linear discriminant analysis
		2.7.3 Decision tree
		2.7.4 Adaptive Boosting
		2.7.5 Multilayer perceptron
		2.7.6 Naive Bayes
	2.8 Applications of electroencephalogram-based Internet-of-Thing applications
		2.8.1 Seizure detection
		2.8.2 Brain injury detection
		2.8.3 Object controlling
		2.8.4 Mental state recognition
		2.8.5 Rehabilitation and human assistance
		2.8.6 Neuro-marketing studies
	2.9 Conclusion
	References
3 A case study: impact of Internet of Things devices and pharma on the improvements of a child in autism
	3.1 Introduction
		3.1.1 Internet of Things devices
			3.1.1.1 Internet of Things network requirements
		3.1.2 Pharma in autism
			3.1.2.1 Food as pharma
		3.1.3 Autism
			3.1.3.1 Pervasive developmental disorder or autism spectrum disorders
			3.1.3.2 Autistic disorder
			3.1.3.3 Asperger syndrome
			3.1.3.4 Childhood disintegrative disorder or Heller’s syndrome
			3.1.3.5 Rett syndrome
			3.1.3.6 Difference between Asperger syndrome and autism spectrum disorder
			3.1.3.7 Diagnosis and treatment in autism spectrum disorder
	3.2 Parent history
		3.2.1 Patient history
		3.2.2 Herbal treatment
	3.3 General behavior up to 2.5 years
	3.4 Diagnosis
	3.5 Autism spectrum disorder therapies, pharma, and Internet of Things
	3.6 Assessment taken by Lahore Children Center at the age of 5.8 years
		3.6.1 Introduction
		3.6.2 Relevant medical and developmental history
		3.6.3 Language and family background
		3.6.4 Current functioning
		3.6.5 Summary and recommendations
	3.7 Improvements up to 8 years of age
	3.8 Changes in behavior after 8 years of age and use of Internet of Things
	3.9 Improvements up to 10.5 years of age
	3.10 Applied behavior analysis therapy assessment report
	3.11 Autism schools in Pakistan
	3.12 Cost analysis of some schools with autism
	3.13 Recommendations for autistic child discipline with Internet of Things and pharma
		3.13.1 Recommendation of nutritional interventions in autism spectrum disorder
	3.14 Conclusion
	References
4 Internet of Things–based pharmaceutics data analysis
	4.1 Introduction
		4.1.1 The era of Internet of Things
		4.1.2 Intermittent connectivity
		4.1.3 Connectivity technologies
		4.1.4 Quirky machine-to-machine communication
		4.1.5 Revolutionization of Internet of Things in pharma industry
		4.1.6 Revolution of Industry 4.0
		4.1.7 Big data in pharmaceutical industry
		4.1.8 Linking Internet of Things with big data
		4.1.9 Analysis of pharma data
	4.2 Related works
		4.2.1 Interoperability of Internet of Things devices
		4.2.2 Pharma logistics: helping hand from Internet of Things
		4.2.3 Data and its analysis—a way to optimize pharmaceutical processes
		4.2.4 Big data handling of pharma data
			4.2.4.1 Tools for analytics
		4.2.5 Visual analytics in pharma industry
			4.2.5.1 Gene expression
			4.2.5.2 Target discovery
	4.3 Proposed work
		4.3.1 Proposed framework for Internet of Things–based pharmaceutical data analysis
			4.3.1.1 Data acquisition
			4.3.1.2 Feature extraction
			4.3.1.3 Classification
	4.4 Implementation
	4.5 Results and discussion
	4.6 Conclusion
	References
	Further reading
5 Reliable pharma cold chain monitoring and analytics through Internet of Things Edge
	5.1 Introduction
		5.1.1 Statement of the problem
		5.1.2 Objectives
	5.2 Cold chain logistics
	5.3 Literature review
		5.3.1 Edge technologies
		5.3.2 Common sensors
	5.4 Internet of Things edge design—conceptual framework
	5.5 Implementations
	5.6 High-level approach
		5.6.1 Methodology—experiments and results
	5.7 Role of containers in Internet of Things edge
	5.8 Pharma—cold chain analytics
		5.8.1 Product demand forecasting
		5.8.2 Track and trace
		5.8.3 Conditional monitoring and predictive maintenance of containers
	5.9 Deployment considerations and issues
		5.9.1 Deployment considerations
		5.9.2 Known issues
	5.10 Conclusion
	References
	Further reading
6 The growing role of Internet of Things in healthcare wearables
	6.1 Introduction
	6.2 Impact of Internet of Things–based wearables in healthcare
	6.3 Taxonomy of wearables
	6.4 Wearable sensors for physiological parameters measurement
		6.4.1 Physical parameters
		6.4.2 Biochemical parameters
	6.5 Types of wearable sensors
		6.5.1 Invasive sensors
		6.5.2 Noninvasive wearable sensors
	6.6 Working principles of wearable sensors
	6.7 Challenges in the fabrication of wearable sensors
	6.8 Small wearable antennas for healthcare system
	6.9 Functions of wearable sensors
	6.10 Wearable devices in pharmaceutical industry
		6.10.1 Wireless body area network
		6.10.2 Respiratory rate sensors
		6.10.3 Body temperature sensor
		6.10.4 Blood pressure monitoring sensor
		6.10.5 Pulse oximetry sensors
	6.11 Wearable devices revolutionize the entire paradigm in drug dispensing
		6.11.1 Remove hurdles and offer rewards
		6.11.2 Form and functions
		6.11.3 Making the data relevant
		6.11.4 Market trend
		6.11.5 Glucose monitoring
	6.12 Safety and security issues related to wearable health care devices
	6.13 Wearable devices for women safety
	6.14 Open challenges and future directions
	6.15 Conclusion
	References
7 Internet of Things in pharma industry: possibilities and challenges
	7.1 Introduction
		7.1.1 Internet of Things
		7.1.2 Applications of Internet of Things
	7.2 Internet of Things road map in pharma
	7.3 Internet of Things in pharma industry
	7.4 Applying Internet of Things in pharma industry
		7.4.1 Manufacturing
		7.4.2 Monitoring of production flow
		7.4.3 Controlling of environmental factors in drugs manufacturing
		7.4.4 Quality control
		7.4.5 Packaging optimization
		7.4.6 Warehouse operations
		7.4.7 Facility management
		7.4.8 Supply chain
		7.4.9 Inventory management
	7.5 Role of Internet of Things in challenges of pharma industry
		7.5.1 Plant safety and security
		7.5.2 To overcome the short supply of drugs
		7.5.3 Security of supply chain
		7.5.4 Theft of drugs during transportation
	7.6 Conclusion and future scope
	References
	Further reading
8 Internet of Things technologies for elderly health-care applications
	8.1 Introduction
	8.2 Elderly population distribution
	8.3 Societal adaptions
	8.4 Connected homes
	8.5 What is Internet of Things?
	8.6 Ambient assistive living systems
	8.7 Requirements of activity recognition
	8.8 Internet of Things–based technologies
		8.8.1 Activity recognition
		8.8.2 Wearable systems
		8.8.3 Ready-to-use products
	8.9 Existing systems
	8.10 Conclusion
	References
	Further reading
9 An insight of Internet of Things applications in pharmaceutical domain
	9.1 An overview of Internet of Things
	9.2 Characteristics features of Internet of Things
	9.3 Advantages of Internet of Things
	9.4 Architectural framework of Internet of Things
	9.5 Application areas of Internet of Things
	9.6 Potential of Internet of Things in the pharmaceutical industry
	9.7 Literature review of Internet of Things in pharmacy
	9.8 Benefits of using Internet of Things in the pharmaceutical industry
	9.9 Patient-centric Internet of Things
		9.9.1 Patient-centric versus patient-centered information
	9.10 Body area network overview
		9.10.1 Challenges faced by body area network
	9.11 Internet of Health Things
		9.11.1 Advantages of Internet of Health Things
	9.12 Analysis of medical nursing system using Internet of Things in the pharmaceutical domain
		9.12.1 Discussed work
		9.12.2 Identity management system
		9.12.3 Environmental-sensing system
		9.12.4 Biomedical system
		9.12.5 Medication system
			9.12.5.1 In pharmacy
			9.12.5.2 In nursing home
		9.12.6 Personal orientation system
	9.13 Conclusion
	References
10 Smart pills: a complete revolutionary technology than endoscopy
	10.1 Introduction
	10.2 Introduction to endoscopy
	10.3 Why endoscopy?
		10.3.1 Investigating signs and symptoms
		10.3.2 Diagnosing
		10.3.3 Treating
	10.4 Types of endoscopy
		10.4.1 Upper Gastro-Intestinal (GI) endoscopy
			10.4.1.1 Risks of upper GI endoscopy
			10.4.1.2 Medications
		10.4.2 Colonoscopy
			10.4.2.1 Examining intestinal signs and symptoms
			10.4.2.2 Test for more polyps
			10.4.2.3 Risks of colonoscopy
		10.4.3 Endoscopic retrograde cholangiopancreatography
			10.4.3.1 Sphincterotomy
			10.4.3.2 Stenting
			10.4.3.3 Risks of endoscopic retrograde cholangiopancreatography
		10.4.4 Bronchoscopy
			10.4.4.1 Risks of bronchoscopy
		10.4.5 Percutaneous Endoscopic Gastrostomy (PEG)
			10.4.5.1 Techniques of PEG
			10.4.5.2 Contraindications of PEG
			10.4.5.3 Complications of PEG
		10.4.6 Flexible sigmoidoscopy
			10.4.6.1 Contraindications of flexible sigmoidoscopy
				10.4.6.1.1 Investigate intestinal signs and symptoms
				10.4.6.1.2 Screen for colon cancer
			10.4.6.2 Preparation of flexible sigmoidoscopy
			10.4.6.3 Complications of flexible sigmoidoscopy
		10.4.7 Cystoscopy
			10.4.7.1 Examining causes of signs and symptoms
			10.4.7.2 Diagnosing bladder diseases and conditions
			10.4.7.3 Treat bladder diseases and conditions
			10.4.7.4 Diagnose an enlarged prostate
			10.4.7.5 Preparation of cystoscopy
			10.4.7.6 Complications of cystoscopy
		10.4.8 Transbronchial endoscopy
			10.4.8.1 Preparation of transbronchial bronchoscopy
			10.4.8.2 Complications of transbronchial bronchoscopy
		10.4.9 Hysteroscopy
			10.4.9.1 Preparation of hysteroscopy
			10.4.9.2 Advantages of hysteroscopy
			10.4.9.3 Complications of hysteroscopy
		10.4.10 Endoscopic ultrasound
			10.4.10.1 Complications of endoscopy ultrasound
	10.5 Smart pills
	10.6 Purpose of WCE
		10.6.1 Accuracy of WCE
		10.6.2 Technology of WCE
			10.6.2.1 Capsule
			10.6.2.2 Data recorder belt/Smart wearable
			10.6.2.3 Workstation
		10.6.3 Preparation of WCE
			10.6.3.1 Day of before WCE
		10.6.4 Working of WCE
	10.7 Conclusions
	References
	Further reading
11 BioSenHealth 2.0—a low-cost, energy-efficient Internet of Things–based blood glucose monitoring system
	11.1 Introduction
	11.2 Related studies
	11.3 Methodology
		11.3.1 Architecture
			11.3.1.1 Sensor strip nodes
			11.3.1.2 Wi-Fi (Module)
			11.3.1.3 Smart gateway
			11.3.1.4 Cloud server
		11.3.2 Circuit diagram
	11.4 Result and discussion
	11.5 Conclusion
	References
Index
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