Results 111 to 120 of about 34,081 (232)

Applying time series analyses on continuous accelerometry data – Dataset

, 2020
Data and analysis script accompanying the study: Applying time series analyses on continuous accelerometry data – a clinical example in older adults with and without cognitive ...
Neumann, Konrad, Rackoll, Torsten
core   +1 more source

Longer Sleep Duration Predicts Progression to Bipolar or Psychotic Disorders in Youth Accessing Early Intervention Mental Health Services

Bipolar Disorders, Volume 28, Issue 7, November 2026.
ABSTRACT Background While growing evidence implicates sleep‐wake and circadian rhythm disturbances (SCRDs) in the onset and course of mood and psychotic disorders, longitudinal studies using objective measures are limited. This clinical cohort study examined whether actigraphy‐derived SCRDs (sleep duration, timing, and efficiency) predicted transition ...
Joanne S. Carpenter, Jacob J. Crouse, Mathew Varidel, Emiliana Tonini, Mirim Shin, Natalia Zmicerevska, Alissa Nichles, Daniel F. Hermens, Kathleen R. Merikangas, Elizabeth M. Scott, Ian B. Hickie, Frank Iorfino   +11 more
wiley   +1 more source

Age‐Specific Associations of Moderate‐to‐Vigorous Physical Activity With Relative and Absolute Risk of Type 2 Diabetes in UK Biobank Participants

Diabetes, Obesity and Metabolism, Volume 28, Issue 11, Page 10099-10109, November 2026.
ABSTRACT Aims We assessed the age‐specific associations between moderate‐to‐vigorous physical activity (MVPA) and incident type 2 diabetes. Materials and Methods We included UK Biobank participants with valid accelerometry data without diabetes mellitus at baseline (N = 87 975; 62.7 years [IQR, 55.6–67.9]; 57% women).
Qiuyu Feng, Raymond Noordam, Denghui Hu, Gali Albalak, Ko Willems van Dijk, Diana van Heemst   +5 more
wiley   +1 more source

Review of accelerometry for determining daily activity among elderly patients

, 2011
Cheung VH, Gray L, Karunanithi M. Review of accelerometry for determining daily activity among elderly patients.
Len Gray, Cheung, Vivian H., Mohanraj Karunanithi, Gray, Len, Karunanithi, Mohanraj, Vivian H. Cheung   +5 more
core   +1 more source

Device‐Measured 24‐h Movement Behaviors and Arterial Intima‐Media Thickness in Young Adults

Scandinavian Journal of Medicine &Science in Sports, Volume 36, Issue 11, November 2026.
ABSTRACT Physical activity, including light physical activity (LPA) and moderate‐to‐vigorous physical activity (MVPA), sedentary behavior (SED), and sleep, often referred to as “24‐h movement behaviors”, are modifiable behaviors that may be associated with arterial intima‐media thickness (IMT).
Kristin Suorsa, Tomi Laitinen, Jarkko Heiskanen, Tuija Leskinen, Yaxing Meng, Jesse Pasanen, Suvi Rovio, Juhani S. Koskinen, Juha Mykkänen, Olli J. Heinonen, Jorma Viikari, Tapani Rönnemaa, Harri Niinikoski, Olli Raitakari, Sari Stenholm, Katja Pahkala   +15 more
wiley   +1 more source

Accelerometry in Diagnosis of Functional Tremor

Annals of Clinical and Experimental Neurology
Introduction. Functional tremor (FT) is the most common phenotype of functional movement disorders. Electrophysiological assessment is included in the diagnostic criteria for tremor; however, there is currently no consensus criteria for the differential diagnosis of FT.
Konstantin M. Evdokimov, Ekaterina O. Ivanova, Amayak G. Brutyan, Ekaterina Y. Fedotova, Sergey N. Illarioshkin   +4 more
openaire   +2 more sources

Onset Detection of Epileptic Seizures From Accelerometry Signal

, 2018
Onset Detection of Epileptic Seizures From Accelerometry ...
Chandan Karmakar (13063638), Terence J O'Brien (7947908), Ramanathan Muthuganapathy (13558267), Shitanshu Kusmakar (13558261), Bernard Yan (521583), Marimuthu Palaniswami (74096)   +5 more
core  

Multisite accelerometry for sleep and wake classification in children

, 2015
Actigraphy is a useful alternative to the gold standard polysomnogram for non-invasively measuring sleep and wakefulness. However, it is unable to accurately assess sleep fragmentation due to its inability to differentiate restless sleep from wakefulness
Boynton, A., Tran, T., Terrill, P. I., Bradley, A. P., Lamprecht, M. L.   +4 more
core  

Response rate to accelerometry in the ongoing GINIplus study (date: June 2012).

, 2013
Response rate to accelerometry in the ongoing GINIplus study (date: June 2012).
Rebecca Pfitzner (417917), Andrea von Berg (163159), Claudia Klümper (417918), Sibylle Koletzko (163151), Holger Schulz (13022), Alexander Horsch (405483), Joachim Heinrich (60421), Dietrich Berdel (163164), Carl P. Bauer (417919), Lukas Gorzelniak (405478)   +9 more
core   +1 more source

Accelerometry and the Capacity–Performance Gap: Case Series Report in Upper-Extremity Motor Impairment Assessment Post-Stroke

Bioengineering
This case series investigates whether traditional machine learning (ML) and convolutional neural network (CNN) models trained on wrist-worn accelerometry data collected in a laboratory setting can accurately predict real-world functional hand use in ...
Estevan M. Nieto, Edaena Lujan, Crystal A. Mendoza, Yazbel Arriaga, Cecilia Fierro, Tan Tran, Lin-Ching Chang, Alvaro N. Gurovich, Peter S. Lum, Shashwati Geed   +9 more
doaj   +1 more source