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Validation of accelerometers

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https://www.readbyqxmd.com/read/28303543/accelerometer-data-collection-and-processing-criteria-to-assess-physical-activity-and-other-outcomes-a-systematic-review-and-practical-considerations
#1
REVIEW
Jairo H Migueles, Cristina Cadenas-Sanchez, Ulf Ekelund, Christine Delisle Nyström, Jose Mora-Gonzalez, Marie Löf, Idoia Labayen, Jonatan R Ruiz, Francisco B Ortega
BACKGROUND: Accelerometers are widely used to measure sedentary time, physical activity, physical activity energy expenditure (PAEE), and sleep-related behaviors, with the ActiGraph being the most frequently used brand by researchers. However, data collection and processing criteria have evolved in a myriad of ways out of the need to answer unique research questions; as a result there is no consensus. OBJECTIVES: The purpose of this review was to: (1) compile and classify existing studies assessing sedentary time, physical activity, energy expenditure, or sleep using the ActiGraph GT3X/+ through data collection and processing criteria to improve data comparability and (2) review data collection and processing criteria when using GT3X/+ and provide age-specific practical considerations based on the validation/calibration studies identified...
March 16, 2017: Sports Medicine
https://www.readbyqxmd.com/read/28303432/network-coded-cooperative-communication-in-a-real-time-wireless-hospital-sensor-network
#2
R Prakash, A Balaji Ganesh, Somu Sivabalan
The paper presents a network coded cooperative communication (NC-CC) enabled wireless hospital sensor network architecture for monitoring health as well as postural activities of a patient. A wearable device, referred as a smartband is interfaced with pulse rate, body temperature sensors and an accelerometer along with wireless protocol services, such as Bluetooth and Radio-Frequency transceiver and Wi-Fi. The energy efficiency of wearable device is improved by embedding a linear acceleration based transmission duty cycling algorithm (NC-DRDC)...
May 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28290759/cross-validation-of-two-accelerometers-for-assessment-of-physical-activity-and-sedentary-time-in-preschool-children
#3
Sofiya Alhassan, John R Sirard, Laura B F Kurdziel, Samantha Merrigan, Cory Greever, Rebecca M C Spencer
PURPOSE: The purpose of this study was to cross-validate previously developed Actiwatch (AW; Ekblom et al. 2012) and AcitGraph (AG; Sirard et al. 2005; AG-P, Pate et al. 2006) cut-point equations to categorize free-living physical activity (PA) of preschoolers using direct observation (DO) as the criterion measure. A secondary aim was to compare output from the AW and the AG from previously developed equations. METHODS: Participants' (n=33; age=4.4±0.8 yrs; females, n=12) PA was directly observed for three 10-minute periods during the preschool-day while wearing the AW (non-dominant wrist) and AG (waist)...
March 14, 2017: Pediatric Exercise Science
https://www.readbyqxmd.com/read/28288011/using-activity-monitors-to-measure-sit-to-stand-transitions-in-overweight-obese-youth
#4
Tarrah Mitchell, Kelsey Borner, Jonathan Finch, Jacqueline Kerr, Jordan Carlson
INTRODUCTION: Reducing sedentary behavior has emerged as an important health intervention strategy. Although hip-worn, and more recently wrist-worn, accelerometers are commonly used for measuring physical activity and sedentary behavior, they may not provide accurate measures of postural changes. The current study examined the validity of commonly used hip- and wrist-worn accelerometer cut points and the thigh-worn activPAL activity monitor for measuring sit-to-stand transitions as compared to direct observation in youth with overweight and obesity...
March 10, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28285547/objective-physical-activity-measurement-in-people-with-multiple-sclerosis-a-review-of-the-literature
#5
Blathin Casey, Susan Coote, Alan Donnelly
PURPOSE: The purpose of this study is to identify the objective physical activity (PA) measurement tools and outputs that are used within Multiple Sclerosis (MS) literature. METHODS: A systematic search strategy on eight databases (2000-2016) using keywords associated with MS and PA. RESULTS: This review includes 32 papers. Uni-axial accelerometers were the most popular objective PA tool in this review (68%). Pedometers (14%) and multi-sensor systems (3%) were the second and third most common...
March 13, 2017: Disability and Rehabilitation. Assistive Technology
https://www.readbyqxmd.com/read/28283993/development-and-validity-of-the-rating-of-fatigue-scale
#6
D Micklewright, A St Clair Gibson, V Gladwell, A Al Salman
OBJECTIVE: The purpose of these experiments was to develop a rating-of-fatigue (ROF) scale capable of tracking the intensity of perceived fatigue in a variety of contexts. METHODS: Four experiments were carried out. The first provided the evidential basis for the construction of the ROF scale. The second tested the face validity of the ROF, and the third tested the convergent and divergent validity of the ROF scale during ramped cycling to exhaustion and 30 min of resting recovery...
March 10, 2017: Sports Medicine
https://www.readbyqxmd.com/read/28276736/zooming-into-daily-life-within-person-associations-between-physical-activity-and-affect-in-young-adults
#7
Petra Haas, Johanna Schmid, Gertraud Stadler, Merle Reuter, Caterina Gawrilow
OBJECTIVE: Negative affect in daily life is linked to poorer mental and physical health. Activity could serve as an effective, low-cost intervention to improve affect. However, few prior studies have assessed physical activity and affect in everyday life, limiting the ecological validity of prior findings. This study investigates whether daily activity is associated with negative and positive evening affect in young adults. DESIGN: Young adults (N = 189, Mdn = 23...
March 1, 2017: Psychology & Health
https://www.readbyqxmd.com/read/28269567/a-wrist-worn-spo2-monitor-with-custom-finger-probe-for-motion-artifact-removal
#8
S P Preejith, Akshay S Ravindran, Rohan Hajare, Jayaraj Joseph, Mohanasankar Sivaprakasam
Continuous monitoring of blood oxygen saturation (SpO2) level and heart rate is critical in surgery, ICUs and patients suffering from Chronic Obstructive Pulmonary Diseases. Pulse oximeters which compute SpO2 using transmittance photoplethysmography (PPG), is widely accepted for continuous monitoring. Presence of motion artifacts in PPG signals is a major obstacle in the extraction of reliable cardiovascular parameters, in real time and continuous monitoring applications. In this paper, a wrist worn device with a custom finger probe with an integrated accelerometer to remove motion artifacts is presented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269374/detection-of-chewing-from-piezoelectric-film-sensor-signals-using-ensemble-classifiers
#9
Muhammad Farooq, Edward Sazonov
Selection and use of pattern recognition algorithms is application dependent. In this work, we explored the use of several ensembles of weak classifiers to classify signals captured from a wearable sensor system to detect food intake based on chewing. Three sensor signals (Piezoelectric sensor, accelerometer, and hand to mouth gesture) were collected from 12 subjects in free-living conditions for 24 hrs. Sensor signals were divided into 10 seconds epochs and for each epoch combination of time and frequency domain features were computed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269366/a-triboelectric-motion-sensor-in-wearable-body-sensor-network-for-human-activity-recognition
#10
Hui Huang, Xian Li, Ye Sun
The goal of this study is to design a novel triboelectric motion sensor in wearable body sensor network for human activity recognition. Physical activity recognition is widely used in well-being management, medical diagnosis and rehabilitation. Other than traditional accelerometers, we design a novel wearable sensor system based on triboelectrification. The triboelectric motion sensor can be easily attached to human body and collect motion signals caused by physical activities. The experiments are conducted to collect five common activity data: sitting and standing, walking, climbing upstairs, downstairs, and running...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269364/video-analysis-validation-of-a-real-time-physical-activity-detection-algorithm-based-on-a-single-waist-mounted-tri-axial-accelerometer-sensor
#11
Alan K Bourke, Espen A F Ihlen, Pepijn Van de Ven, John Nelson, Jorunn L Helbostad
We have validated a real-time activity classification algorithm based on monitoring by a body worn system which is potentially suitable for low-power applications on a relatively computationally lightweight processing unit. The algorithm output was validated using annotation data generated from video recordings of 20 elderly volunteers performing both a semi-structured protocol and a free-living protocol. The algorithm correctly identified sitting 75.1% of the time, standing 68.8% of the time, lying 50.9% of the time, and walking and other upright locomotion 82...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269056/body-position-classification-for-cardiorespiratory-measurement
#12
Marcel Mlynczak, Martin Berka, Wiktor Niewiadomski, Gerard Cybulski
Heart activity, or at least heart rate variability, is associated with body position. Our previous studies have confirmed that impedance pneumography may be used to record respiratory function, but the calibration coefficients for this method depend on position. Data were collected from 24 students (12 male, 12 female), who alternated positions between lying (on front, back, and right side), sitting and standing. Signals from an attached iPhone's internal sensors (accelerometer, gyroscope, magnetometer) were recorded and attitude relative to gravity was calculated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268969/real-time-activity-classification-in-a-wearable-system-prototype-for-knee-health-assessment-via-joint-sounds
#13
Hakan Toreyin, Hyeon Ki Jeong, Sinan Hersek, Caitlin N Teague, Omer T Inan
An algorithm for performing activity classification for a joint health assessment system using acoustical emissions from the knee is presented. The algorithm was refined based on linear acceleration data from the shank and the thigh sampled at 100 Hz/ch and collected from eight healthy subjects performing unloaded flexion-extension and sit-to-stand motions. The algorithm was implemented on a field-programmable gate array (FPGA)-based processor and has been validated in realtime on a subject performing two minutes of activities consisting of flexion-extension, sit-to-stand, and other motions while standing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268967/two-threshold-energy-based-fall-detection-using-a-triaxial-accelerometer
#14
Angela Sucerquia, Jose D Lopez, Francisco Vargas
Elderly fall detection based on accelerometers is an active research area. Nowadays authors are addressing specific problems such as failure rates and energy consumption, but in most cases their strategies do not conciliate these objectives. In this paper we propose a double threshold based methodology with two novel detection features, a product between the sum vector magnitude and the signal magnitude area, and a normalization of the signal magnitude area over five 1 s windows. The methodology was validated using the public Mobifall dataset, and one developed for this work...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268720/s2ni-a-mobile-platform-for-nutrition-monitoring-from-spoken-data
#15
Niloofar Hezarjaribi, Cody A Reynolds, Drew T Miller, Naomi Chaytor, Hassan Ghasemzadeh
Diet and physical activity are important lifestyle and behavioral factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used in the past to objectively measure physical activity or detect eating time. Diet monitoring, however, still relies on self-recorded data by end users where individuals use mobile devices for recording nutrition intake by either entering text or taking images. Such approaches have shown low adherence in technology adoption and achieve only moderate accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268417/combined-accelerometer-and-emg-analysis-to-differentiate-essential-tremor-from-parkinson-s-disease
#16
Nooshin Haji Ghassemi, Franz Marxreiter, Cristian F Pasluosta, Patrick Kugler, Johannes Schlachetzki, Axel Schramm, Bjoern M Eskofier, Jochen Klucken
In this study, we intended to differentiate patients with essential tremor (ET) from tremor dominant Parkinson disease (PD). Accelerometer and electromyographic signals of hand movement from standardized upper extremity movement tests (resting, holding, carrying weight) were extracted from 13 PD and 11 ET patients. The signals were filtered to remove noise and non-tremor high frequency components. A set of statistical features was then extracted from the discrete wavelet transformation of the signals. Principal component analysis was utilized to reduce dimensionality of the feature space...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268385/beat-to-beat-heart-rate-detection-by-smartphone-s-accelerometers-validation-with-ecg
#17
F Landreani, A Martin-Yebra, C Casellato, C Frigo, E Pavan, P-F Migeotte, E G Caiani
Mobile phones offer the possibility to monitor and track health parameters. Our aim was to test the feasibility and accuracy of measuring beat-to-beat heart rate using smartphone accelerometers by recording the vibrations generated by the heart during its function and transmitted to the chest wall, i.e. the so-called seismocardiographic signal (SCG). METHODS: 9 healthy male volunteers were studied in supine (SUP) and in standing (ST) posture. A smartphone (iPhone6, Apple) was positioned on the thorax (POS1) to acquire SCG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28267188/the-relationship-of-three-dimensional-human-skull-motion-to-brain-tissue-deformation-in-magnetic-resonance-elastography-studies
#18
Andrew A Badachhape, Ruth J Okamoto, Ramona S Durham, Brent D Efron, Sam J Nadell, Curtis L Johnson, Philip V Bayly
In traumatic brain injury (TBI), membranes such as the dura mater, arachnoid mater, and pia mater play a vital role in transmitting motion from the skull to brain tissue. Magnetic resonance elastography (MRE) is an imaging technique developed for noninvasive estimation of soft tissue material parameters. In MRE, dynamic deformation of brain tissue is induced by skull vibrations during magnetic resonance imaging (MRI); however, skull motion and its mode of transmission to the brain remain largely uncharacterized...
May 1, 2017: Journal of Biomechanical Engineering
https://www.readbyqxmd.com/read/28266563/quantification-of-free-living-activity-patterns-using-accelerometry-in-adults-with-mental-illness
#19
Justin J Chapman, James A Roberts, Vinh T Nguyen, Michael Breakspear
Physical activity is disrupted in many psychiatric disorders. Advances in everyday technologies - such as accelerometers in smart phones - opens exciting possibilities for non-intrusive acquisition of activity data. Successful exploitation of this opportunity requires the validation of analytical methods that can capture the full movement spectrum. The study aim was to demonstrate an analytical approach to characterise accelerometer-derived activity patterns. Here, we use statistical methods to characterize accelerometer-derived activity patterns from a heterogeneous sample of 99 community-based adults with mental illnesses...
March 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28265163/validity-of-gait-asymmetry-estimation-by-using-an-accelerometer-in-individuals-with-hemiparetic-stroke
#20
Kazuaki Oyake, Tomofumi Yamaguchi, Masafumi Sugasawa, Chihiro Oda, Shigeo Tanabe, Kunitsugu Kondo, Yohei Otaka, Kimito Momose
[Purpose] The purpose of this study was to evaluate the validity of estimating step time and length asymmetries, using an accelerometer against force plate measurements in individuals with hemiparetic stroke. [Subjects and Methods] Twenty-four individuals who previously had experienced a stroke were asked to walk without using a cane or manual assistance on a 16-m walkway. Step time and length were measured using force plates, which is the gold standard for assessing gait asymmetry. In addition to ground reaction forces, trunk acceleration was simultaneously measured using an accelerometer...
February 2017: Journal of Physical Therapy Science
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