Ambulatory system for the quantitative and qualitative analysis of gait and posture in chronic pain patients treated with spinal cord stimulation

Paraschiv-Ionescu, Anisoara; Buchser, Eric; Rutschmann, B.; Najafi, Bijan; Aminian, Kamiar

doi:10.1016/j.gaitpost.2003.07.005

Cited by 88 publications

(68 citation statements)

References 16 publications

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“…Our proposed scores could be used in the long-term monitoring of shoulder kinematics in daily activity. By recognizing physical activity using additional sensors [9,20] it would be possible to provide a better evaluation of shoulder mobility and therefore offer a score which would be more reliable since it would be based on natural and voluntary activity of the patients. Moreover, using one sensor module on each humerus and one of the three scores, it should be possible to compare painful and healthy shoulders during daily activity.…”

Section: Discussionmentioning

confidence: 99%

Outcome evaluation in shoulder surgery using 3D kinematics sensors

Coley¹,

Jolles²,

Farron³

et al. 2007

Gait & Posture

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A new method of scoring systems for the functional assessment of the shoulder is presented. 3D accelerometers and gyroscopes attached on the humerus were used to differentiate a healthy from a painful shoulder. The method was first tested on 10 healthy volunteer subjects with no shoulder pathology. The system was then tested on 10 patients with unilateral shoulder pathology (rotator cuff disease, osteoarthritis) before and after surgery (3, 6 months). In order to evaluate the system, nine tests based on the Simple Shoulder Test (SST) were performed on each shoulder for each patient. Three scores were defined: the P score was based on the angular velocities and accelerations of the humerus; the RAV score was based only on the angular velocities of the humerus; the M score was based on the sum of all moments of the humerus. Our kinematic scores indicated significant differences between baseline and follow-up ( p < 0.05) and differentiated between patients with varying severity of the same condition. We demonstrated a reliable technique of evaluating shoulder pathology and the results of surgery. #

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Section: Discussionmentioning

confidence: 99%

Outcome evaluation in shoulder surgery using 3D kinematics sensors

Coley¹,

Jolles²,

Farron³

et al. 2007

Gait & Posture

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“…The analysis algorithm is described elsewhere in detail and has been validated against opto-electronic systems, video and personal observation in different groups of subjects including older adults [28,30] and patients with Parkinson's disease [33]. Overall accuracy for the detection of physical activities in older adults was higher than 90 %.…”

Section: Assessmentsmentioning

confidence: 99%

Assessing physical activity in inpatient rehabilitation—sensor-based validation of the PAIR

Denkinger

Flick

Nikolaus

et al. 2014

Eur Rev Aging Phys Act

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Increased physical activity is positively associated with better health in community-dwelling older persons. It is unclear whether physical activity also influences success of inpatient rehabilitation. For the assessment of physical activity in inpatient rehabilitation the Physical Activity in Inpatient Rehabilitation Assessment (PAIR), a short questionnaire based on five questions, was developed and preliminary validated. In this study, the PAIR was validated against a sensor-based physical activity measurement. Seventy functionally impaired and cognitively mostly intact patients of a German geriatric inpatient rehabilitation clinic who had undergone hip surgery (n=62 women, median age=83 years) participated. Physical activity was measured using the PAIR and a sensor-based activity monitor (Physilog ®; BioAGM, CH). Assessments were conducted at admission (T1) and 2 weeks later (T2) during the rehabilitation process. To assess concurrent and predictive validity, Spearman correlations and linear regression models were calculated using sensor-based walking activity and uptime activity (walking and standing time) as dependent variables. Criterion-related concurrent validity using physical activity sensors was weak to moderate. Correlations were slightly higher at T2 (r=0.45-0.53) than at T1 (r=0.44-0.46). The objectively measured variance of physical activity, explained by the PAIR, ranged from 25 to 43 %. PAIR activity scores and sensor-based walking or total activity increased in a dosedependent manner, confirming the scoring system of the PAIR. The application time was usually less than 2 min. The validity of the PAIR is weak to moderate when compared to a sensor-based activity monitor and comparable to existing physical activity assessments for community-dwelling older adults.

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“…In addition, instead of decomposing the kinematic signal to sinusoids, wavelet transform uses a suitable basic function, which is more similar to the typical patterns in kinematic data. Several investigators have shown the advantages of wavelet transform for the analysis of kinematic signals (Sekine et al 2000;Lakany 2000;Paraschiv-Ionescu et al 2004;NajaW et al 2002).…”

Section: Main Types Of Body Wxed Sensorsmentioning

confidence: 99%

“…Generally, video-and observation-based validations of BFS based methods for detecting body postures and activities have shown reasonable to good results in terms of sensitivity and speciWcity (for example see Paraschiv-Ionescu et al 2004), but correct identiWcation of some activities (i.e., stair ascend and descend) has proven to be more diYcult than others. In general, the more sensors are used, the higher the probability of a correct classiWcation.…”

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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Ambulatory system for the quantitative and qualitative analysis of gait and posture in chronic pain patients treated with spinal cord stimulation

Cited by 88 publications

References 16 publications

Outcome evaluation in shoulder surgery using 3D kinematics sensors

Outcome evaluation in shoulder surgery using 3D kinematics sensors

Assessing physical activity in inpatient rehabilitation—sensor-based validation of the PAIR

Mobility assessment in older people: new possibilities and challenges

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