{"product_id":"wearable-systems-based-gait-monitoring-and-analysis-9783030973346","title":"Wearable Systems Based Gait Monitoring and Analysis","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eWearable Systems Based Gait Monitoring and Analysis provides an overview of wearable gait monitoring techniques and their use in health analysis, covering sensing mechanisms, sensor design, and processing algorithms. It demonstrates applications in medical and occupational settings. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 238 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 18 March 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eWearable Systems Based Gait Monitoring and Analysis offers a comprehensive exploration of wearable gait monitoring techniques and their applications in health analysis. The text begins by examining the intricate relationship between the physical state of the human body and gait, and then introduces and elucidates nine primary sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG, and IMU-based architectures. Furthermore, the book delves into considerations for designing gait sensors in terms of geometry and deployment. It also discusses diverse processing algorithms for transforming raw sensor outputs into meaningful gait features. Additionally, the book showcases gait analysis-based health monitoring demonstrations across medical and occupational domains, providing valuable insights into the practical applications of engineering-based gait analysis and falling injury prevention methods. This comprehensive resource is designed to empower students studying biomedical engineering, electrical engineering, signal processing, and ergonomics, as well as practitioners in these fields, to gain a deep understanding of the medical and occupational applications of engineering-based gait analysis and falling injury prevention techniques.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 398g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 155 x 234 x 17 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030973346\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shuo Gao,Junliang Chen,Yanning Dai,Boyi Hu","offers":[{"title":"Paperback \/ softback","offer_id":44162060157178,"sku":"9783030973346","price":38.43,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1680878518783_book.jpg?v=1681111199","url":"https:\/\/shulphink.com\/products\/wearable-systems-based-gait-monitoring-and-analysis-9783030973346","provider":"Shulph Ink","version":"1.0","type":"link"}