Potenzial von Wearable-Technologie in der KnieendoprothetikThe potential of wearable technology in knee arthroplasty

[1] Almahadin G(2020)Parkinson’s disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms—a patient and healthcare professional perspective BMC Neurol 26 2549-2570

[2] Lotfi A(2023)Supporting patients to prepare for total knee replacement: evidence-, theory- and person-based development of a ‘virtual knee school’ digital intervention Health Expect 81 478-486

[3] Zysk E(2010)Preoperative gait patterns and BMI are associated with tibial component migration Acta Orthop 33 2358-2361

[4] Siena FL(2018)Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care? J Arthroplasty 21 5143-1965

[5] Carthy MM(2021)Remote patient monitoring with wearable sensors following knee arthroplasty Sensors 53 1961-S102

[6] Breedon P(2022)Wearable technology in orthopedic trauma surgery – An AO trauma survey and review of current and future applications Injury 17 418-490

[7] Anderson AM(2017)Data collection and analysis using wearable sensors for monitoring knee range of motion after total knee arthroplasty Sensors 38 S94-328

[8] McHugh GA(2023)Recovery curve for patient reported outcomes and objective physical activity after primary total knee arthroplasty—A multicenter study using wearable technology J Arthroplasty 7 481-203

[9] Comer C(2022)The role of commercially available smartphone apps and wearable devices in monitoring patients after total knee arthroplasty: a systematic review EFORT Open Rev 4 315-290

[10] Joseph J(2023)Effects of home-based prehabilitation on pre- and postoperative outcomes following total hip and knee arthroplasty Bone Jt Open 218 107376-45

[1] Almahadin G(2020)Parkinson’s disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms—a patient and healthcare professional perspective BMC Neurol 26 2549-2570

[2] Lotfi A(2023)Supporting patients to prepare for total knee replacement: evidence-, theory- and person-based development of a ‘virtual knee school’ digital intervention Health Expect 81 478-486

[3] Zysk E(2010)Preoperative gait patterns and BMI are associated with tibial component migration Acta Orthop 33 2358-2361

[4] Siena FL(2018)Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care? J Arthroplasty 21 5143-1965

[5] Carthy MM(2021)Remote patient monitoring with wearable sensors following knee arthroplasty Sensors 53 1961-S102

[6] Breedon P(2022)Wearable technology in orthopedic trauma surgery – An AO trauma survey and review of current and future applications Injury 17 418-490

[7] Anderson AM(2017)Data collection and analysis using wearable sensors for monitoring knee range of motion after total knee arthroplasty Sensors 38 S94-328

[8] McHugh GA(2023)Recovery curve for patient reported outcomes and objective physical activity after primary total knee arthroplasty—A multicenter study using wearable technology J Arthroplasty 7 481-203

[9] Comer C(2022)The role of commercially available smartphone apps and wearable devices in monitoring patients after total knee arthroplasty: a systematic review EFORT Open Rev 4 315-290

[10] Joseph J(2023)Effects of home-based prehabilitation on pre- and postoperative outcomes following total hip and knee arthroplasty Bone Jt Open 218 107376-45