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Validation of accelerometers

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https://www.readbyqxmd.com/read/28436909/pulse-transit-time-measurement-using-seismocardiogram-photoplethysmogram-and-acoustic-recordings-evaluation-and-comparison
#1
Chenxi Yang, Negar Tavassolian
This work proposes a novel method of pulse transit time measurement. The proximal arterial location data is collected from seismocardiogram (SCG) recordings by placing a MEMS accelerometer on the chest wall. The distal arterial location data is recorded using an acoustic sensor placed inside the ear. The performance of distal location recordings is evaluated by comparing SCG-acoustic and SCG-Photoplethysmogram (PPG) measurements. PPG and acoustic performances under motion noise are also compared. Experimental results suggest comparable performances for the acoustic-based and PPG-based devices...
April 24, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28432935/accelerometry-based-assessment-and-detection-of-early-signs-of-balance-deficits
#2
Heidi Similä, Milla Immonen, Miikka Ermes
Falls are the cause for more than half of the injury-related hospitalizations among older people. Accurate assessment of individuals' fall risk could enable targeted interventions to reduce the risk. This paper presents a novel method for using wearable accelerometers to detect early signs of deficits in balance from gait. Gait acceleration data were analyzed from 35 healthy female participants (73.86±5.40 years). The data were collected with waist-mounted accelerometer and the participants performed three supervised balance tests: Berg Balance Scale (BBS), Timed-Up-and-Go (TUG) and 4m walk...
April 13, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28430147/suitability-of-strain-gage-sensors-for-integration-into-smart-sport-equipment-a-golf-club-example
#3
Anton Umek, Yuan Zhang, Sašo Tomažič, Anton Kos
Wearable devices and smart sport equipment are being increasingly used in amateur and professional sports. Smart sport equipment employs various sensors for detecting its state and actions. The correct choice of the most appropriate sensor(s) is of paramount importance for efficient and successful operation of sport equipment. When integrated into the sport equipment, ideal sensors are unobstructive, and do not change the functionality of the equipment. The article focuses on experiments for identification and selection of sensors that are suitable for the integration into a golf club with the final goal of their use in real time biofeedback applications...
April 21, 2017: Sensors
https://www.readbyqxmd.com/read/28422585/validation-of-the-ipaq-against-different-accelerometer-cut-points-in-older-cancer-survivors-and-adults-at-risk-of-cancer
#4
Liane S Lewis, James Hernon, Allan Clark, John M Saxton
INTRODUCTION: The present study investigated the convergent validity of an interview-administered IPAQ long version (IPAQ-L) in an older population by comparison with objective accelerometry movement data. METHODS: Data from 52 participants (mean age 67.9 years, 62% male) were included in the analysis. Treadmill derived (TM-ACC: 1952-5724 cpm) and free-living physical activity (PA) derived (FL-ACC: 760-5724 cpm) accelerometer cut-points were used as criterion. RESULTS: IPAQ-L measures (total PA, leisure-time, walking-time, sedentary time) were significantly correlated with accelerometry (P≤0...
April 19, 2017: Journal of Aging and Physical Activity
https://www.readbyqxmd.com/read/28420602/the-fitbit-one-physical-activity-tracker-in-men-with-prostate-cancer-validation-study
#5
Erin L Van Blarigan, Stacey A Kenfield, Lucy Tantum, Lisa A Cadmus-Bertram, Peter R Carroll, June M Chan
BACKGROUND: Physical activity after cancer diagnosis improves quality of life and may lengthen survival. However, objective data in cancer survivors are limited and no physical activity tracker has been validated for use in this population. OBJECTIVE: The aim of this study was to validate the Fitbit One's measures of physical activity over 7 days in free-living men with localized prostate cancer. METHODS: We validated the Fitbit One against the gold-standard ActiGraph GT3X+ accelerometer in 22 prostate cancer survivors under free-living conditions for 7 days...
April 18, 2017: JMIR Cancer
https://www.readbyqxmd.com/read/28420599/use-of-machine-learning-classifiers-and-sensor-data-to-detect-neurological-deficit-in-stroke-patients
#6
Eunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam
BACKGROUND: The pronator drift test (PDT), a neurological examination, is widely used in clinics to measure motor weakness of stroke patients. OBJECTIVE: The aim of this study was to develop a PDT tool with machine learning classifiers to detect stroke symptoms based on quantification of proximal arm weakness using inertial sensors and signal processing. METHODS: We extracted features of drift and pronation from accelerometer signals of wearable devices on the inner wrists of 16 stroke patients and 10 healthy controls...
April 18, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28419025/ensemble-methods-for-classification-of-physical-activities-from-wrist-accelerometry
#7
Alok Kumar Chowdhury, Dian Tjondronegoro, Vinod Chandran, Stewart G Trost
PURPOSE: To investigate whether the use of ensemble learning algorithms improve physical activity recognition accuracy compared to the single classifier algorithms, and to compare the classification accuracy achieved by three conventional ensemble machine learning methods (bagging, boosting, random forest) and a custom ensemble model comprising four algorithms commonly used for activity recognition (binary decision tree, k nearest neighbour, support vector machine, and neural network)...
April 18, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28410113/watch-dog-detecting-self-harming-activities-from-wrist-worn-accelerometers
#8
Pratool Bharti, Anurag Panwar, Ganesh Gopalakrishna, Sriram Chellappan
In a 2012 survey, in the United States alone, there were more than 35; 000 reported suicides with approximately 1; 800 of being psychiatric inpatients. Recent CDC (Centers for Disease Control and Prevention) reports indicate an upward trend in these numbers. In psychiatric facilities, staff perform intermittent or continuous observation of patients manually in order to prevent such tragedies, but studies show that they are insufficient, and also consume staff time and resources. In this paper, we present the Watch-Dog system, to address the problem of detecting self-harming activities when attempted by in-patients in clinical settings...
April 7, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28408158/validity-of-the-activpal3-activity-monitor-in-people-moderately-affected-by-multiple-sclerosis
#9
E H Coulter, L Miller, S McCorkell, C McGuire, K Algie, J Freeman, B Weller, P G Mattison, A McConnachie, O Wu, L Paul
Walking is the primary form of physical activity performed by people with Multiple Sclerosis (MS), therefore it is important to ensure the validity of tools employed to measure walking activity. The aim of this study was to assess the criterion validity of the activPAL3 activity monitor during overground walking in people with MS. Validity of the activPAL3 accelerometer was compared to video observation in 20 people moderately affected by MS. Participants walked 20-30m twice along a straight quiet corridor at a comfortable speed...
April 10, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28403159/improved-supervised-classification-of-accelerometry-data-to-distinguish-behaviors-of-soaring-birds
#10
Maitreyi Sur, Tony Suffredini, Stephen M Wessells, Peter H Bloom, Michael Lanzone, Sheldon Blackshire, Srisarguru Sridhar, Todd Katzner
Soaring birds can balance the energetic costs of movement by switching between flapping, soaring and gliding flight. Accelerometers can allow quantification of flight behavior and thus a context to interpret these energetic costs. However, models to interpret accelerometry data are still being developed, rarely trained with supervised datasets, and difficult to apply. We collected accelerometry data at 140Hz from a trained golden eagle (Aquila chrysaetos) whose flight we recorded with video that we used to characterize behavior...
2017: PloS One
https://www.readbyqxmd.com/read/28399658/evaluation-of-a-coplanar-6a3%C3%AF-configuration-in-the-hybrid-iii-50-th-percentile-male-head
#11
Yun-Seok Kang, Sam Goldman, Kevin Moorhouse, John Bolte
OBJECTIVES: In order to understand the mechanisms of TBI and develop proper safety measures, it is essential that accurate instrumentation methods are utilized. The Brain Injury Criterion (BrIC) has been developed and validated to predict brain injuries in combination with the head injury criterion (Takhounts et al., 2011 ; Takhounts et al., 2013 ). Being that the validated BrIC is heavily dependent on angular motion, the accuracy of any head instrumentation technique should be judged in part by its ability to measure angular motion...
April 11, 2017: Traffic Injury Prevention
https://www.readbyqxmd.com/read/28398945/objective-measures-of-physical-activity-and-cardiometabolic-and-endocrine-biomarkers
#12
Hala B AlEssa, Andrea K Chomistek, Susan E Hankinson, Junaidah B Barnett, Jennifer Rood, Charles E Matthews, Eric B Rimm, Walter C Willett, Frank B Hu, Deirdre K Tobias
PURPOSE: Although physical activity is an established risk factor for chronic disease prevention, the specific mechanisms underlying these relationships are poorly understood. We examined the associations between total activity counts (TAC) and moderate-vigorous physical activity (MVPA) measured by accelerometer, and physical activity energy expenditure (PAEE) measured by doubly-labeled water, with plasma levels of pro-insulin, insulin, c-peptide, IGFBP-3, IGF-1, adiponectin, leptin and leptin-sR...
April 11, 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28391210/atrial-fibrillation-detection-via-accelerometer-and-gyroscope-of-a-smartphone
#13
Olli Lahdenoja, Tero Hurnanen, Zuhair Iftikhar, Sami Nieminen, Timo Knuutila, Antti Saraste, Tuomas Kiviniemi, Tuija Vasankari, Juhani Airaksinen, Mikko Pankaala, Tero Koivisto
We present a smartphone-only solution for the detection of Atrial Fibrillation (AFib), which utilizes the builtin accelerometer and gyroscope sensors (Inertial Measurement Unit, IMU) in the detection. Depending on the patient's situation, it is possible to use the developed smartphone application either regularly or occasionally for making a measurement of the subject. The smartphone is placed on the chest of the patient who is adviced to lay down and perform a non-invasive recording, while no external sensors are needed...
April 5, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28389761/a-stop-signal-task-for-sheep-introduction-and-validation-of-a-direct-measure-for-the-stop-signal-reaction-time
#14
Franziska Knolle, Sebastian D McBride, James E Stewart, Rita P Goncalves, A Jennifer Morton
Huntington's disease (HD) patients show reduced flexibility in inhibiting an already-started response. This can be quantified by the stop-signal task. The aim of this study was to develop and validate a sheep version of the stop-signal task that would be suitable for monitoring the progression of cognitive decline in a transgenic sheep model of HD. Using a semi-automated operant system, sheep were trained to perform in a two-choice discrimination task. In 22% of the trials, a stop-signal was presented. Upon the stop-signal presentation, the sheep had to inhibit their already-started response...
April 7, 2017: Animal Cognition
https://www.readbyqxmd.com/read/28387566/energy-expenditure-in-playground-games-in-primary-school-children-measured-by-accelerometer-and-heart-rate-monitors
#15
Jorge Cañete García-Prieto, Vicente Martinez-Vizcaino, Antonio García-Hermoso, Mairena Sánchez-López, Natalia Arias-Palencia, Juan Fernando Ortega Fonseca, Ricardo Mora-Rodriguez
The aim of this study was to examine the energy expenditure (EE) measured using indirect calorimetry (IC) during playground games and to assess the validity of heart rate (HR) and accelerometry counts as indirect indicators of EE in children´s physical activity games. 32 primary school children (9.9 ± 0.6 years old, 19.8 ± 4.9 kg · m(-2) BMI and 37.6 ± 7.2 mL · kg(-1) · min(-1) VO2max). Indirect calorimetry (IC), accelerometry and HR data were simultaneously collected for each child during a 90 min session of 30 playground games...
April 7, 2017: International Journal of Sport Nutrition and Exercise Metabolism
https://www.readbyqxmd.com/read/28387544/promise-of-wearable-physical-activity-monitors-in-oncology-practice
#16
Muhammad S Beg, Arjun Gupta, Tyler Stewart, Chad D Rethorst
Commercially available physical activity monitors provide clinicians an opportunity to obtain oncology patient health measures to an unprecedented degree. These devices can provide objective and quantifiable measures of physical activity, which are not subject to errors or bias of self-reporting or shorter duration of formal testing. Prior work on so-called quantified-self data was based on older-generation, research-grade accelerometers, which laid the foundation for consumer-based physical activity monitoring devices to be validated as a feasible and reliable tool in patients with cancer...
February 2017: Journal of Oncology Practice
https://www.readbyqxmd.com/read/28385099/psychometric-properties-of-a-scale-to-assess-parental-self-efficacy-for-influencing-children-s-dietary-physical-activity-sedentary-and-screen-time-behaviors-in-disadvantaged-areas
#17
Åsa Norman, Benjamin Bohman, Gisela Nyberg, Liselotte Schäfer Elinder
BACKGROUND: According to social cognitive theory, self-efficacy is central to behavior change. Consequently, parental self-efficacy (PSE) for influencing children's dietary, physical activity (PA), sedentary, and screen time behaviors is important for child obesity prevention. The aim of this study was to evaluate the psychometric properties of an instrument to measure PSE regarding these behaviors in disadvantaged areas. METHOD: Parents ( n = 229) of whom 47% had completed secondary school or less, and who participated in the Healthy School Start trial, responded to a 15-item PSE instrument...
April 1, 2017: Health Education & Behavior: the Official Publication of the Society for Public Health Education
https://www.readbyqxmd.com/read/28368823/monitoring-of-gait-quality-in-patients-with-chronic-pain-of-lower-limbs
#18
Philippe Terrier, Joane Le Carre, Marie-Laure Connaissa, Bertrand Leger, Francois Luthi
Severe injuries of lower extremities often lead to chronic pain and reduced walking abilities. We postulated that measuring free-living gait can provide further information about walking ability in complement to clinical evaluations. We sought to validate a method that characterizes free gaits with a wearable sensor. Over one week, 81 healthy controls (HC) and 66 chronic lower limb pain patients (CLLPP) hospitalized for multidisciplinary rehabilitation wore a simple accelerometer (Actigraph). In the acceleration signals, steady one-minute walks detected numbered 7,835 (5,085 in CLLPP and 2,750 in HC)...
March 28, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28365580/measuring-physical-activity-in-juvenile-idiopathic-arthritis-activity-diary-versus-accelerometer
#19
Wineke Armbrust, G J F Joyce Bos, Jan H B Geertzen, Pieter J J Sauer, Pieter U Dijkstra, Otto T H M Lelieveld
OBJECTIVE: (1) To determine convergent validity of an activity diary (AD) and accelerometer (Actical brand/Phillips-Respironics) in measuring physical activity (PA) in children with juvenile idiopathic arthritis (JIA). (2) To determine how many days give reliable results. (3) To analyze effects of correcting accelerometer data for non-wear. METHODS: Patients with JIA (8-13 yrs) were recruited from 3 Dutch pediatric rheumatology centers. PA was assessed for 7 days with an AD and accelerometer, and was expressed as mean min/day of rest, light PA (LPA), moderate to vigorous PA (MVPA), and PA level (PAL)...
April 1, 2017: Journal of Rheumatology
https://www.readbyqxmd.com/read/28365123/technical-note-validation-of-a-semi-automated-software-tool-to-determine-gait-cycle-variables-in-dairy-cows
#20
M Alsaaod, R Kredel, B Hofer, A Steiner
This paper presents the validation of a software tool called Cow-Gait-Analyzer (University of Bern, Switzerland) to determine gait-cycle variables in lame and non-lame dairy cows using features derived from low-cost, stand-alone 3-dimensional accelerometers (400 Hz). The Cow-Gait-Analyzer automatically extracts the relevant gait events of foot load and toe off, which characterize gait-cycle duration, stance phase, and swing phase during walking. A nonautomatic step is visual inspection of the pedograms. If the software does not automatically choose the right peaks according to pedogram definitions, peaks can be manually chosen...
March 29, 2017: Journal of Dairy Science
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