Objective
To summarize the application progress of surface electromyography (sEMG) and surface electromygraphic biofeedback (sEMGBF) in low back pain (LBP).
Methods
The related literature about the application of sEMG and sEMGBF in diagnosis and therapy of LBP was summarized and analyzed.
Results
As a auxiliary diagnostic technique, lumbar muscle fatigue, lumbar muscle activity disorder, flexion-relaxation phenomenon, and asymmetry of the paravertebral muscle electromygraphic activity were found in patients with LBP by sEMG. For treatment, sEMG combined with sEMGBF technology to form sEMGBF training. sEMGBF training include sEMGBF training and sEMGBF stretching exercise. sEMGBF training can improve lumbar muscle activity disorder, recover muscle function, and relieve back pain.
Conclusion
sEMG can monitor the electromyographic signal and sEMGBF biofeedback information can relax or strengthen the muscle. It is very meaningful for diagnosis and therapy of LBP.
In recent years, the rapid development of information and communication technology, big data, and artificial intelligence has provided technical support for exploring new medical methods, leading to the emergence of digital therapeutics (DTx). At present, the application of DTx in orthopedics is still in the preliminary exploration stage. Therefore, based on the authors’ experience of applying DTx, this article summarizes the definition and formation process of DTx, as well as the relationship among digital health, digital medicine, and DTx, evaluates the working principles and application effects of existing orthopedic related DTx products, analyzes their shortcomings in the application process, and looks forward to their future development trends, aiming to lay a foundation for the comprehensive development and application of DTx in orthopedics.
In recent years, the widespread use of medical devices has led to the increasing frequency of device related pressure injuries (DRPI), which seriously affects the quality of life of patients and increases the burden on the healthcare system. The management model of DRPI has become an effective means of coping. This article reviews the application status of the care bundles model, SSKIN clinical management model, SECURE clinical management model in the prevention of DRPI. According to the characteristics of different management models, the key steps of implementation are given, aiming to provide a reference for exploring the prevention and management model of DRPI suitable for China’s national conditions.
Periwound skin, as an indicator of the wound healing monitoring process, is one of the most important components of wound management. Effective management of periwound skin is a major professional challenge. In practice, healthcare professionals usually focus on the wound site and pay little attention to the periwound skin. Inappropriate management of periwound skin will delay the wound healing process, increase the economic costs of the patients, and decrease the patients’ satisfaction with medical care. This article summarizes the clinical symptoms, assessment tools, and management strategies of periwound skin, aiming to provide new ideas and references for clinical wound management.
Enhanced recovery after surgery (ERAS) has been carried out in many surgical fields such as orthopedics, galactophore, cardiothoracic surgery, gastrointestinal surgery, and obstetrics due to its standardized perioperative management process to reduce surgical stress and reduce surgical complications. After more than a decade of development, ERAS has achieved initial results. However, in China, the development of ERAS in orthopedic is still in its infancy. Most of the researches focus on the multidisciplinary management path of perioperative period. How to break through the existing bottlenecks is the key to accelerate the further development of rehabilitation. Therefore, this paper introduces the origin and development of ERAS, analyzes the challenges and opportunities of orthopedic ERAS in clinical advancement, proposes the important measures to promote the accelerated development of orthopedics, and provides new ideas for promoting the in-depth development of orthopedics accelerated rehabilitation.
Generative artificial intelligence (AI) technology plays a significant role in enhancing data application capabilities, improving disease diagnosis and treatment plans, and advancing health management, drug development, genetic analysis, and precision medicine. However, due to the diagnostic complexity, treatment diversity, and high technical demands of orthopedic diseases, the application of generative AI in orthopedics is still in its early exploration stage. This paper, based on the experience of applying generative AI, summarizes the concept, working principles, progress of application in orthopedics, as well as the existing shortcomings and optimization strategies, aiming to provide valuable insights for the application of generative AI in orthopedics clinical practice.
