Duration and frequency of every day activities in total hip patients

Morlock, Michael M.; Schneider, Erich; Bluhm, Andrea; Vollmer, Matthias; Bergmann, G.; Müller, V.; Honl, M.

doi:10.1016/s0021-9290(01)00035-5

Cited by 312 publications

(189 citation statements)

References 14 publications

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“…13). A previously reported classification system entirely based on knee flexion angle and the angles of the thigh and calf overestimated walking by approximately 11% and underestimated stair climbing by approximately 8% [39]. However, our accuracy of classifying force curves for walking and stair climbing decreased to between 50% and 62%.…”

Section: A Wearable Force and Kinematics Monitoring Devicecontrasting

confidence: 77%

“…Stair climbing is another common activity of daily living, with the ratio of stair climbing cycles to walking cycles averaging approximately 1:25 in patients with THA [39]. Tibial forces during stair climbing increased to a mean of 3.2 9 BW at 1 year [11].…”

Section: Stair Climbingmentioning

confidence: 99%

“…In two subjects, accidental stumbling generated some of the highest recorded in vivo hip loads (greater than 8 9 BW) [4]. Few studies have attempted to monitor unsupervised knee kinematics [39], and none have continuously monitored knee contact forces. Our third-generation device records knee forces and knee kinematics simultaneously at a data acquisition rate of as much as 80 Hz, which compares favorably with traditional fluoroscopic analysis (30 Hz) or commercially available accelerometer-based activity monitors (32 Hz; IDEEA; MiniSun, Fresno, CA, USA).…”

Section: A Wearable Force and Kinematics Monitoring Devicementioning

confidence: 99%

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The 2011 ABJS Nicolas Andry Award: ‘Lab’-in-a-Knee: In Vivo Knee Forces, Kinematics, and Contact Analysis

D’Lima

Patil

Steklov

et al. 2011

Clinical Orthopaedics &Amp; Related Research

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Background Tibiofemoral forces are important in the design and clinical outcomes of TKA. We developed a tibial tray with force transducers and a telemetry system to directly measure tibiofemoral compressive forces in vivo. Knee forces and kinematics traditionally have been measured under laboratory conditions. Although this approach is useful for quantitative measurements and experimental studies, the extrapolation of results to clinical conditions may not always be valid. Questions/purposes We therefore developed wearable monitoring equipment and computer algorithms for classifying and identifying unsupervised activities outside the laboratory. Methods Tibial forces were measured for activities of daily living, athletic and recreational activities, and with orthotics and braces, during 4 years postoperatively. Additional measurements included video motion analysis, EMG, fluoroscopic kinematic analysis, and ground reaction force measurement. In vivo measurements were used to evaluate computer models of the knee. Finite element models were used for contact analysis and for computing knee kinematics from measured knee forces. A thirdgeneration system was developed for continuous monitoring of knee forces and kinematics outside the laboratory using a wearable data acquisition hardware. Results By using measured knee forces and knee flexion angle, we were able to compute femorotibial AP translation (À12 to +4 mm), mediolateral translation (À1 to 1.5 mm), axial rotation (À3°to 12°), and adduction-abduction (À1°t o +1°). The neural-network-based classification system was able to identify walking, stair-climbing, sit-to-stand, and stand-to-sit activities with 100% accuracy. Conclusions Our data may be used to improve existing in vitro models and wear simulators, and enhance prosthetic designs and biomaterials.

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Section: A Wearable Force and Kinematics Monitoring Devicecontrasting

confidence: 77%

Section: Stair Climbingmentioning

confidence: 99%

Section: A Wearable Force and Kinematics Monitoring Devicementioning

confidence: 99%

See 1 more Smart Citation

The 2011 ABJS Nicolas Andry Award: ‘Lab’-in-a-Knee: In Vivo Knee Forces, Kinematics, and Contact Analysis

D’Lima

Patil

Steklov

et al. 2011

Clinical Orthopaedics &Amp; Related Research

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“…of total time vs. 0.4% (±0.4% S.D.) for stair climbing (Morlock et al 2001). It can be suggested that the types of activity undertaken may become more varied by the end of the recovery and rehabilitation period.…”

Section: Discussionmentioning

confidence: 99%

Activity intensity, assistive devices and joint replacement influence predicted remodelling in the proximal femur

Dickinson

2015

Biomech Model Mechanobiol

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Bone morphology and density changes are commonly observed following joint replacement, and may contribute to the risks of implant loosening and periprosthetic fracture, and reduce the available bone stock for revision surgery. This study was presented in the "Bone and Cartilage Mechanobiology across the scales" WCCM symposium to review the development of remodelling prediction methods and to demonstrate simulation of adaptive bone remodelling around hip replacement femoral components, incorporating intrinsic (prosthesis) and extrinsic (activity and loading) factors.An iterative bone remodelling process was applied to finite element models of a femur implanted with a cementless THR (total hip replacement) and a hip resurfacing implant. Previously developed for a cemented THR implant, this modified process enabled the influence of pre-to postoperative changes in patient activity and joint loading to be evaluated. A control algorithm used identical pre-and postoperative conditions, and the predicted extents and temporal trends of remodelling were measured by generating virtual x-rays and DXA scans.The modified process improved qualitative and quantitative remodelling predictions for both the cementless THR and resurfacing implants, but demonstrated the sensitivity to DXA scan region definition and appropriate implant-bone position and sizing. Predicted remodelling in the intact femur in response to changed activity and loading demonstrated that in this simplified model, although the influence of the extrinsic effects were important, the mechanics of implantation were dominant. This study supports the application of predictive bone remodelling as one element in the range of physical and computational studies, which should be conducted in the pre-clinical evaluation of new prostheses.

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“…For example, intervention studies that address fall risk in older people (e.g., NajaW et al 2002), studies of the eVects of interventions in Parkinson's disease patients (Keijsers et al 2006), pain (Buchser et al 2005) or patients after orthopaedic surgery (Morlock et al 2001). Although these and other studies demonstrate the relevance of activity monitors, their full potential for evaluating changes in activity patterns as a result of interventions has not yet been attained.…”

Section: Activity Monitoringmentioning

confidence: 99%

Mobility assessment in older people: new possibilities and challenges

2007

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A major challenge for researchers and clinicians who address health issues in the ageing population is to monitor functioning, and to timely initiate interventions that aim to prevent loss of functional abilities and to improve the quality of life of older people. With the progress of technologies in the last decades, methods have become available that use body Wxed sensors (BFS) to measure aspects of human performance under real-life conditions. These methods are based on the use of miniaturised and integrated sensors in combination with lightweight, small measuring devices that both can be carried on the body without interfering with normal behaviour. This paper addresses the potential relevance of new technology for monitoring motor function in older people, thereby speciWcally focusing on mobility assessment. After a short introduction with background information about BFS based technology, this paper identiWes areas of particular relevance, and discusses the application of ambulatory techniques for long-term monitoring of daily physical activity, fall detectors, fall risk evaluation, and assessment of motor performance such as gait and balance control. Examples are given how these techniques can become clinically relevant, particularly in the context of fall interventions for older people.

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Duration and frequency of every day activities in total hip patients

Cited by 312 publications

References 14 publications

The 2011 ABJS Nicolas Andry Award: ‘Lab’-in-a-Knee: In Vivo Knee Forces, Kinematics, and Contact Analysis

The 2011 ABJS Nicolas Andry Award: ‘Lab’-in-a-Knee: In Vivo Knee Forces, Kinematics, and Contact Analysis

Activity intensity, assistive devices and joint replacement influence predicted remodelling in the proximal femur

Mobility assessment in older people: new possibilities and challenges

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