An intra-articular injection is a procedure used in the treatment of inflammatory joint conditions, such as rheumatoid arthritis, psoriatic arthritis, gout, tendinitis, bursitis, Carpal Tunnel Syndrome, and occasionally osteoarthritis. The new edition of this book has been fully revised to provide orthopaedic surgeons with the latest techniques and drugs used in intra-articular injections. Beginning with an overview of injection techniques, frequency of administration, indications and contraindications, the following chapters explain injections for different joints in the body, including elbow, shoulder, wrist, knee, hip and many more. A complete chapter covers the facial region. The third edition includes new chapters on acupuncture and yoga. Key points Fully revised, third edition covering latest techniques and drugs in intra-articular injections Covers injections in many different joints of the body Features new chapters on acupuncture and yoga Previous edition (9788180615375) published in 2005

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.