Reliability and validity of an activity monitor (IDEEA®) in a paediatric population

Mackey, Anna; Hewart, Penny; Walt, Sharon E.; Moreau, M; Stott, Susan

doi:10.1016/j.gaitpost.2006.11.027

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…Different studies support the validity and reliability of the instrument we used (IDEEA - Minisun, Fresno, CA), to measure gait analysis parameters and energy expenditure both in healthy and unhealthy subjects, having been tested in hemiparetic subjects [ 18 ], patients with arthritic knee [ 22 ], minimally invasive total hip arthroplasty [ 23 ], high-flex total knee replacement [ 24 ], elderly [ 25 ] and children with cerebral palsy [ 26 , 27 ]. As the first step we considered it appropriate to compare gait analysis data, obtained in the present study for control subjects by means of the IDEEA device, with the literature.…”

Section: Discussionmentioning

confidence: 99%

“…The assessment of nighttime postures is worth of attention as results showed that obese patients spent more time sitting or reclining instead of lying. Previous work on the reliability of the IDEEA device in detecting position showed that the reclining posture is one of the measures most subject to error for correct identification due to anatomical differences among subjects [ 13 , 26 ]. The alignment of trunk sensors is, in fact, crucial to distinguish between sitting, reclining and lying down.…”

Section: Discussionmentioning

confidence: 99%

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Physical activity monitoring in obese people in the real life environment

Benedetti

Gioia

Conti

et al. 2009

J NeuroEngineering Rehabil

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BackgroundObesity is a major problem especially in western countries and several studies underline the importance of physical activity to enhance diet. Currently there is increasing interest in instruments for monitoring daily physical activity. The purpose of this pilot study was to appraise the qualitative and quantitative differences in physical activities and gait analysis parameters in control and obese subjects by means of an innovative tool for the monitoring of physical activity.MethodsTwenty-six obese patients, 16 women and 10 men, aged 22 to 69 years with Body Mass Index (BMI) between 30 and 51.4 kg/m2, were compared with 15 control subjects, 4 men and 11 women, aged 24 to 69 with BMI between 18 and 25 kg/m2 during daily physical activities. The IDEEA device (Minisun, Fresno, CA), based on a wearable system of biaxial accelerometers and able to continuously record the physical activities and energy expenditure of a subject in time was used. Time spent in different physical activities such as standing, sitting, walking, lying, reclining, stepping, energy expenditure and gait parameters (velocity, stance duration, etc) were measured during a 24-hours period.ResultsA trend toward a reduced number of steps was present, associated to reduced speed, reduced cadence and reduced rate of single and double limb support (SLS/DLS). Moreover, obese people spent significant less time stepping, less time lying and more time in a sitting or reclined position during the night. The energy expenditure during a 24-hours period was higher in the obese compared to controls.ConclusionsThe study provided objective parameters to differentiate the daily motor activity of obese subjects with respect to controls, even a larger population is required to confirm these findings. The device used can be of support in programming educational activities for life style modification in obese people as well as for monitoring the results of various kinds of intervention in these patients concerning weight and physical performance.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Physical activity monitoring in obese people in the real life environment

Benedetti

Gioia

Conti

et al. 2009

J NeuroEngineering Rehabil

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“…In addition, Dunnewold et al [10] used an AC, but they only considered static activities and they assessed just a few basic aspects of PD motor symptoms. In contrast, the AC itself has been a subject of research for a long time [8]- [14]. Methods have been proposed for the discrimination of static from dynamic activities using the alternating current component of an acceleration signal [8], [9].…”

Section: Ambulatory Monitoring Of Activities and Motormentioning

confidence: 99%

Ambulatory Monitoring of Activities and Motor Symptoms in Parkinson's Disease

Zwartjes

Heida

Vugt

et al. 2010

IEEE Trans. Biomed. Eng.

122

107

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Abstract-Ambulatory monitoring of motor symptoms in Parkinson's disease (PD) can improve our therapeutic strategies, especially in patients with motor fluctuations. Previously published monitors usually assess only one or a few basic aspects of the cardinal motor symptoms in a laboratory setting. We developed a novel ambulatory monitoring system that provides a complete motor assessment by simultaneously analyzing current motor activity of the patient (e.g., sitting, walking, etc.) and the severity of many aspects related to tremor, bradykinesia, and hypokinesia. The monitor consists of a set of four inertial sensors. Validity of our monitor was established in seven healthy controls and six PD patients treated with deep brain stimulation (DBS) of the subthalamic nucleus. The patients were tested at three different levels of DBS treatment. Subjects were monitored while performing different tasks, including motor tests of the Unified PD Rating Scale (UPDRS). Output of the monitor was compared to simultaneously recorded videos. The monitor proved very accurate in discriminating between several motor activities. Monitor output correlated well with blinded UPDRS ratings during different DBS levels. The combined analysis of motor activity and symptom severity by our PD monitor brings true ambulatory monitoring of a wide variety of motor symptoms one step closer.

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“…In addition, Dunnewold et al (Dunnewold et al 1998) used an AC, but they only considered static activities and they assessed just a few basic aspects of PD motor symptoms. In contrast, the AC itself has been a subject of research for a long time (Bouten et al 1994;Veltink et al 1996;Dunnewold et al 1998;Najafi et al 2003;Zhang et al 2003;Bao and Intille 2004;Mackey et al 2006). Methods have been proposed for the discrimination of static from dynamic activities using the alternating current component of an acceleration signal (Bouten et al 1994;Veltink et al 1996).…”

Section: Introductionmentioning

confidence: 99%

Selective stimulation of the subthalamic nucleus

Zwartjes¹

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Reliability and validity of an activity monitor (IDEEA®) in a paediatric population

Cited by 3 publications

References 3 publications

Physical activity monitoring in obese people in the real life environment

Physical activity monitoring in obese people in the real life environment

Ambulatory Monitoring of Activities and Motor Symptoms in Parkinson's Disease

Selective stimulation of the subthalamic nucleus

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