Accuracy of a step counter during treadmill and daily life walking by healthy adults and patients with cardiac disease

Thorup, Charlotte Brun; Andreasen, Jan Jesper; Sørensen, Erik Elgaard; Grønkjær, Mette; Dinesen, Birthe; Hansen, John H. L.

doi:10.1136/bmjopen-2016-011742

Cited by 45 publications

(63 citation statements)

References 47 publications

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“…For the hip-worn PAMs among all participants and for wrist-worn PAMs among participants without rollators, the relationship was similar. In line with several other studies of consumer-grade PAMs in older adults, we found a higher accuracy in faster walking older adults [17,19,20,24]. As described in the introduction, walkers with assistive devices are more likely to have alternative gait pattern compared to walkers using no assistive device.…”

Section: Discussionsupporting

confidence: 92%

“…In this model, each tester measures each participant, and testers are considered representative of a larger population of testers. Previously studies have either used Pearson correlation coefficients [19], unspecified ICC [17,18] or ICC (2,1) [12,14,15]. Agreement between two continuous outcomes should be reported using ICC values [25], and future studies should as a minimum report the specific sub-type of ICC as well as difference (percentage or mean) allowing the results to be compared between studies.…”

Section: Discussionmentioning

confidence: 99%

“…To our knowledge, few studies have investigated the measurement properties of consumer-grade PAMs in older adults, and none of these has studied the measurement properties of a given PAM model worn on the hip and wrist [12,[14][15][16][17][18][19][20]. Therefore, the present study aimed to investigate (a) the criterion validity of four consumer-grade PAMs in older adults performing a self-paced indoor walking test and (b) whether the measurement properties of the PAMs differed between older adults with and without rollators and comparing wrist-worn and hip-worn positions.…”

Section: Introductionmentioning

confidence: 99%

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Criterion validity for step counting in four consumer-grade physical activity monitors among older adults with and without rollators

Larsen

Korfitsen

Juhl

et al. 2020

Eur Rev Aging Phys Act

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Background: Few studies have investigated the measurement properties of consumer-grade physical activity monitors (PAMs) in older adults. Therefore, we investigated the criterion validity of consumer-grade PAMs in older adults and whether the measurement properties differed between older adults with and without rollators and whether worn on the hip or at the wrist. Methods: Consumer-grade PAMs were eligible for inclusion in this study if they: 1) could be fastened at the hip as well as on the wrist, 2) were simple in function and design and thus easy to use for participants with minimal technical skills, 3) included step-counting as outcome measure and 4) were powered by a button cell battery. Participants performed self-paced walking for six minutes while two physiotherapists counted their steps with a click-counter. The average of the two counts was used as criterion. The participants wore 16 monitors, four located bilaterally on both hips and wrists. Our prior expectation was that all monitors would have at least moderate criterion validity for all participants, good criterion validity for participants walking without a rollator and poor criterion validity for participants walking with a rollator. Results: Four physical activity monitors were included in this study; Misfit Shine, Nokia GO, Jawbone UP Move and Garmin Vivofit 3. A total of 103 older adults participated. Nokia GO was excluded from this study due to technical issues. Therefore, we present results on the frequency of data loss, ICC (1, 2) and percentage measurement error for Misfit Shine, Garmin Vivofit 3 and Jawbone UP Move located on four different positions. Conclusions: The hip-worn PAMs did not differ significantly in terms of measurement error or criterion validity. Wrist-worn monitors cannot adequately measure number of steps in a population of older adults using rollators. The hip-worn PAMs were superior to wrist-worn PAMs among older adults with and without rollators.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Criterion validity for step counting in four consumer-grade physical activity monitors among older adults with and without rollators

Larsen

Korfitsen

Juhl

et al. 2020

Eur Rev Aging Phys Act

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“…Pedometers are less accurate when the sensor is attached to the wrist or hip, compared to ankle-based pedometers. Similarly, slower walking speed, unsteady and uneven gaits influence accuracy [33][34][35][36]. In the case of accelerometers, Nelson et al [6] found that wrist-worn accelerometers are more accurate than hip-worn sensors.…”

Section: The Tracker and Sensor Typesmentioning

confidence: 99%

A Systematic Literature Review of the Factors that Influence the Accuracy of Consumer Wearable Health Device Data

Mahloko

Adebesin

2020

Lecture Notes in Computer Science

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The use of consumer wearable health device (CWHD) for fitness tracing has seen an upward trend worldwide. CWHDs support individuals in taking ownership of their personal well-being and keeping track of their fitness goals. However, there are genuine concerns over the accuracy of the data collected by these devices. In this study, we investigated the factors that influence the accuracy of the data collected by CWHDs for heart rate measurement, physical activity (PA), and sleep monitoring using a systematic literature review. Forty-seven papers were analyzed from five electronic databases based on specific inclusion and exclusion criteria. All 47 papers that we analyzed were published by authors from developed countries. Using thematic analysis, we classified the factors that influence the accuracy of the data collected by CWHDs into three main groups, namely (i) the tracker and sensor type, (ii) the algorithm used in the device, and (iii) the limitation in the design, energy consumption, and processing capability of the device. The research results point to a dearth of studies that focus on the accuracy of the data collected by CWHDs by researchers from developing countries. Keywords: Consumer wearable health device Á CWHD Á Wearable health device Á Wearable health device data accuracy Á Systematic literature review © IFIP International Federation for Information Processing 2020

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“…The bracelet in the study (see the Table of Materials) was chosen as it is commonly used in various studies 22,23 . Also, for a population with reduced functional capacity, it is better and more suitable as it is more sensitive to movement 24 . As for the sample frequency, the pulse samples are taken continuously during activity and every minute during the day.…”

Section: Introductionmentioning

confidence: 99%

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Dor-Haim

Katzburg

Leibowitz

2019

JoVE

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Despite the evidence that cardiac rehabilitation (CR) reduces the risk of recurrent cardiac events, only a minority of eligible patients are willing to join existing programs at cardiac rehabilitation centers. The unique remote patient monitoring system presented here enables healthcare providers to monitor CR patients at home in real-time and at low cost. The system combines mobile technology, artificial intelligence, and supportive services, expanding the delivery of medical care to the patient's home. The primary aim of the study is to increase the long-term adherence to physical activity in patients who participate in CR via the addition of a home-based digitally monitored CR component to the standard CR program in patients with ischemic heart disease (IHD), with the idea of forming new habitual health behaviors and increasing the long-term motivation for physical exercise (PE) habits at home. Secondary aims are to assess the program's impact on the physical activity level measured by average steps per day, minutes of exercise per week, blood pressure, metabolic parameters, body mass index, and waistto-hip ratio, as well as a quality-of-life (QoL) questionnaire.The study has two arms: (1) home-based monitored exercise using a smart digital garment and wristband, in addition to motivation and reinforcement via text messages; (2) standard CR facility-based exercise. The study design is a randomized, controlled trial comparing standard CR to a home-based monitoring and reinforcement program. The study program is designed for 12 weeks.Clinical tests and anthropometric measurements are performed before and after the study, measuring height, weight, waist circumference, visceral fat and body mass index (BMI), blood pressure, and HbA1c and lipid profile. Patients have to complete a baseline survey including socio-demographic characteristics and QoL questionnaire SF-36. At the end of the study, patients complete a survey regarding the use of the smart digital garment's benefits and usability. The study is currently underway.

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Accuracy of a step counter during treadmill and daily life walking by healthy adults and patients with cardiac disease

Cited by 45 publications

References 47 publications

Criterion validity for step counting in four consumer-grade physical activity monitors among older adults with and without rollators

Criterion validity for step counting in four consumer-grade physical activity monitors among older adults with and without rollators

A Systematic Literature Review of the Factors that Influence the Accuracy of Consumer Wearable Health Device Data

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

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