Showing 181 - 200 results of 287 for search '"accelerometer"', query time: 0.07s Refine Results
  1. 181

    Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors by Kestens Yan, Barnett Tracie, Mathieu Marie-Ève, Henderson Mélanie, Bigras Jean-Luc, Thierry Benoit, Maxime St-Onge, Lambert Marie

    Published 2014-01-01
    “…Proof of concept and tools are presented using data collected among the first 37 participants recruited in 2011. Results. Valid accelerometer data was available for 5.6 (SD=1.62) days in average, heart rate data for 6.5 days, and GPS data was available for 6.1 (2.1) days. …”
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  2. 182
  3. 183

    Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-In Device Sensors: A Proof-of-Concept Study by Olivia L. Finnegan, R. Glenn Weaver, Hongpeng Yang, James W. White, Srihari Nelakuditi, Zifei Zhong, Rahul Ghosal, Yan Tong, Aliye B. Cepni, Elizabeth L. Adams, Sarah Burkart, Michael W. Beets, Bridget Armstrong

    Published 2024-01-01
    “…SensorLog was downloaded onto study iPads and collected data from the accelerometer, gyroscope, and magnetometer sensors while the participant interacted with the iPad. …”
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  4. 184

    Protocol for a Phase 2 randomized controlled patient-assessor blinded study: efficacy and safety of combined cortical and cerebellar dual-target transcranial magnetic stimulation f... by Jing Xu, Na Cao, Yan Qu, Suhang Shang, Xincheng Liu, Xuexin Wang, Fangfang Hu, Xuerong Bai, Qiumin Qu, Meng Zhang, Hongmei Cao

    Published 2025-01-01
    “…Tremor will be assessed using both the subjective The Essential Tremor Rating Assessment Scale (TETRAS) and objective accelerometer-based tremor analysis. at baseline (before stimulation), after the first, fifth, tenth days of treatment (D1, 5, 10), 24 h after 10 days of treatment (D10-24 h), and 1, 2, 3, and 4 weeks after stimulation (W1, 2, 3, 4).DiscussionThis is a Phase 2 randomized, controlled, patient-assessor blinded clinical trial. …”
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  5. 185

    A supervised model to identify wolf behavior from tri-axial acceleration by Charlotte Lorand, Léa Bouet, Olivier Devineau, Marianna Chimienti, Alina L. Evans, Peggy Callahan, Mark Beckel, Timothy G. Laske, Ane Eriksen

    Published 2025-01-01
    “…To address this issue, behavior classification models have increasingly been used to detect specific behaviors in wildlife equipped with tri-axial accelerometers. Such models typically need to be trained on data from the target species. …”
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  6. 186

    Healthy Life Centres: a 3-month behaviour change programme’s impact on participants’ physical activity levels, aerobic fitness and obesity: an observational study by Ellen Eimhjellen Blom, Eivind Aadland, Ane Kristiansen Solbraa, Line Merethe Oldervoll

    Published 2020-09-01
    “…This study aimed to investigate the impact of behaviour change interventions delivered by Norwegian Healthy Life Centres (HLCs) on participants’ PA levels, aerobic fitness and obesity, and furthermore to investigate possible predictors of change.Design An observational study with a pre–post design and a 3-month follow-up.Setting Thirty-two HLCs in Norway were included.Participants A total of 713 participants (72% of the participants included at baseline), 71% women, with a mean age of 51 (18–87 years) and body mass index (BMI) of 32 (SD 7) met to follow-up.Intervention Individual consultations and tailored individual and group-based exercise and courses organised by the HLCs and cooperating providers.Outcome measures The primary outcome was time spent in moderate to vigorous PA (MVPA, min/day) (ActiGraph GT3X+ accelerometer). The secondary outcomes were light PA (LPA, min/day), number of steps per day, time spent sedentary (SED, min/day), aerobic fitness (submaximal treadmill test, min), BMI (kg/m2) and waist circumference (WC, cm).Results There was no change in MVPA (B 1.4, 95% CI −0.4 to 3.1) after 3 months. …”
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  7. 187
  8. 188

    Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

    Published 2022-02-01
    “…This study uses smartphones as the main technology in obtaining data by utilizing the built-in accelerometer and gyroscope sensors. There are 8 types of activities studied with a combination of 5, 10, and 15 seconds of experimental time and the position of the smartphone is carried freely or in the right trouser pocket. …”
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  9. 189

    Smartphone apps for tracking physical activity and sedentary behavior: A criterion validity review by Raul Cosme Ramos Prado, Margarethe Thaisi Garro Knebel, Evelyn Helena Corgosinho Ribeiro, Inaian Pignatti Teixeira, Jeffer Eidi Sasaki, Luciano Vieira de Araújo, Paulo Henrique Guerra, Alex Antonio Florindo

    Published 2022-08-01
    “…However, as it is unclear whether these apps are valid for tracking PA and SB when compared to research-grade accelerometers, thus, this systematic review aimed to investigate the validity of smartphone apps for tracking PA and SB using the accelerometer as a criterion measure. …”
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  10. 190

    The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis by Marga Decraene, Kar Hau Chong, Ty Stanford, Dorothea Dumuid, Penny Cross, Greet Cardon, Vera Verbestel, Marieke De Craemer, Anthony Okely

    Published 2025-01-01
    “…Methods Australian preschoolers (3–5 years) from the Early Start Baseline Study wore an ActiGraph accelerometer to assess sedentary behaviour (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). …”
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  11. 191

    Testing the Recruitment Frequency, Implementation Fidelity, and Feasibility of Outcomes of the Heart Failure Activity Coach Study (HEALTHY): Pilot Randomized Controlled Trial by Andreas Blomqvist, Maria Bäck, Leonie Klompstra, Anna Strömberg, Tiny Jaarsma

    Published 2025-01-01
    “…The intervention duration was 12 weeks, and in weeks 1 and 12, the participants wore an accelerometer daily to objectively measure their physical activity. …”
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  12. 192

    Efficacy of Unsupervised YouTube Dance Exercise for Patients With Hypertension: Randomized Controlled Trial by Mizuki Sakairi, Taiju Miyagami, Hiroki Tabata, Naotake Yanagisawa, Mizue Saita, Mai Suzuki, Kazutoshi Fujibayashi, Hiroshi Fukuda, Toshio Naito

    Published 2025-01-01
    “…The activity levels of the participants were monitored using a triaxial accelerometer. BP and body composition were measured on the day of participation and after 2 months. …”
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  13. 193

    Myofascial trigger points therapy increases neck mobility and reduces headache pain in migraine patients – pilot study by Maciej Olesiejuk, Małgorzata Chalimoniuk, Tomasz Sacewicz

    Published 2025-02-01
    “…Outcome measures included: CS-ROM (assessed using an accelerometer system), subjective headache pain intensity (evaluated via the Visual Analog Scale (VAS)), and calcitonin gene-related peptide (CGRP) concentrations. …”
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  14. 194

    Association between lifestyle factors and thyroid function in young sedentary euthyroid adults by Elisa Merchan-Ramirez, Guillermo Sanchez-Delgado, Lucas Jurado-Fasoli, Francisco M Acosta, Manuel Muñoz-Torres, Jose M. Llamas-Elvira, Jonatan R Ruiz

    Published 2024-01-01
    “…The time spent in sedentary, PA levels and sleep habits were objectively measured using a wrist-worn accelerometer. Results: Energy and carbohydrate intake were positively associated with thyroid stimulating hormone (TSH) (β = 0.222; R2 = 0.102; P = 0.022 and β = 0.425; R2 = 0.129; P = 0.007, respectively) whereas fat intake was negatively associated with TSH (β = −0.428; R2 = 0.137; P = 0.004). …”
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  15. 195

    Normative Database of Spatiotemporal Gait Metrics Across Age Groups: An Observational Case–Control Study by Lianne Mobbs, Vinuja Fernando, R. Dineth Fonseka, Pragadesh Natarajan, Monish Maharaj, Ralph J. Mobbs

    Published 2025-01-01
    “…., equipped with a triaxial accelerometer, gyroscope, and magnetometer, was used to capture gait data. …”
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  16. 196

    Impact of bedroom light exposure on glucose metabolic markers and the role of circadian-dependent meal timing: A population-based cross-sectional study by Qi Li, Yu-xiang Xu, Xiu-zhen Lu, Yu-ting Shen, Yu-hui Wan, Pu-yu Su, Fang-biao Tao, Xin Chen, Ying Sun

    Published 2025-01-01
    “…Seven consecutive days of sleep time and 24-h dietary records were assessed by wrist-worn accelerometer and mobile phone photos, respectively. …”
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  17. 197

    Interplay between physical activity volume and intensity with modeled life expectancy in women and men: A prospective cohort analysis by Francesco Zaccardi, Alex V. Rowlands, Paddy C. Dempsey, Cameron Razieh, Joe Henson, Jonathan Goldney, Benjamin D. Maylor, Atanu Bhattacharjee, Yogini Chudasama, Charlotte Edwardson, Jari A. Laukkanen, Ulf Ekelund, Melanie J. Davies, Kamlesh Khunti, Thomas Yates

    Published 2025-12-01
    “…Methods: Individuals from UK Biobank with wrist-worn accelerometer data were included. The average acceleration and intensity gradient were extracted to describe the physical activity volume and intensity profile. …”
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  18. 198

    IMU Sensor-Based Worker Behavior Recognition and Construction of a Cyber–Physical System Environment by Sehwan Park, Minkyo Youm, Junkyeong Kim

    Published 2025-01-01
    “…In particular, methods such as using accelerometers and gyroscopes within MEMS sensors to acquire data based on workers’ angles, utilizing three-axis accelerometers and barometric pressure sensors to improve the accuracy of fall detection systems, and measuring the wearer’s gait using the x-, y-, and z-axis data from accelerometers and gyroscopes are being studied. …”
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  19. 199

    An improved coarse alignment algorithm for SINS based on rotation modulation by Yong Yang, Donglin Li, Lingbing Kong, Kaijun Xu, Honghui Xiang

    Published 2025-01-01
    “…The primary challenge in this process lies in reducing the alignment time while enhancing accuracy, particularly as conventional analytic algorithms often suffer from decreased precision due to measurement errors in accelerometers and gyroscopes. This paper proposes an improved coarse alignment algorithm by introducing single-axis continuous rotation modulation to compensate for the errors in gyroscopes and accelerometers, thus improving accuracy. …”
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  20. 200

    Technology applications in bovine gait analysis: A scoping review. by Amir Nejati, Anna Bradtmueller, Elise Shepley, Elsa Vasseur

    Published 2023-01-01
    “…Among emergent technologies, deep learning and wearable sensors (e.g., accelerometers) appear to be the most promising options. …”
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