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Journal Abstract Search
139 related items for PubMed ID: 28824853
1. Development of a Wearable Sensor Algorithm to Detect the Quantity and Kinematic Characteristics of Infant Arm Movement Bouts Produced across a Full Day in the Natural Environment. Trujillo-Priego IA, Lane CJ, Vanderbilt DL, Deng W, Loeb GE, Shida J, Smith BA. Technologies (Basel); 2017 Sep; 5(3):. PubMed ID: 28824853 [Abstract] [Full Text] [Related]
2. Relationships between full-day arm movement characteristics and developmental status in infants with typical development as they learn to reach: An observational study. Shida-Tokeshi J, Lane CJ, Trujillo-Priego IA, Deng W, Vanderbilt DL, Loeb GE, Smith BA. Gates Open Res; 2018 Sep; 2():17. PubMed ID: 29708221 [Abstract] [Full Text] [Related]
3. Kinematic characteristics of infant leg movements produced across a full day. Trujillo-Priego IA, Smith BA. J Rehabil Assist Technol Eng; 2017 Sep; 4():. PubMed ID: 28845239 [Abstract] [Full Text] [Related]
4. Daily Quantity of Infant Leg Movement: Wearable Sensor Algorithm and Relationship to Walking Onset. Smith BA, Trujillo-Priego IA, Lane CJ, Finley JM, Horak FB. Sensors (Basel); 2015 Aug 04; 15(8):19006-20. PubMed ID: 26247951 [Abstract] [Full Text] [Related]
5. Daily Quantity and Kinematic Characteristics of Leg Movement in a Child With SMA (2 Copies SMN2). McIntyre M, Dunn L, David J, Devine C, Smith BA. Pediatr Phys Ther; 2023 Oct 01; 35(4):486-492. PubMed ID: 37747987 [Abstract] [Full Text] [Related]
8. Early full-day leg movement kinematics and swaddling patterns in infants in rural Guatemala: A pilot study. Oh J, Ordoñez ELT, Velasquez E, Mejía M, Grazioso MDP, Rohloff P, Smith BA. PLoS One; 2024 Oct 01; 19(2):e0298652. PubMed ID: 38422106 [Abstract] [Full Text] [Related]
9. Associating neuromotor outcomes at 12 months with wearable sensor measures collected during early infancy in rural Guatemala. Oh J, Ordoñez ELT, Velasquez E, Mejía M, Del Pilar Grazioso M, Rohloff P, Smith BA. Gait Posture; 2024 Sep 01; 113():477-489. PubMed ID: 39126960 [Abstract] [Full Text] [Related]
10. Identification of Developmental Delay in Infants Using Wearable Sensors: Full-Day Leg Movement Statistical Feature Analysis. Abrishami MS, Nocera L, Mert M, Trujillo-Priego IA, Purushotham S, Shahabi C, Smith BA. IEEE J Transl Eng Health Med; 2019 Sep 01; 7():2800207. PubMed ID: 30800535 [Abstract] [Full Text] [Related]
12. Quantifying Caregiver Movement when Measuring Infant Movement across a Full Day: A Case Report. Zhou J, Schaefer SY, Smith BA. Sensors (Basel); 2019 Jun 29; 19(13):. PubMed ID: 31261884 [Abstract] [Full Text] [Related]
13. Determining if wearable sensors affect infant leg movement frequency. Jiang C, Lane CJ, Perkins E, Schiesel D, Smith BA. Dev Neurorehabil; 2018 Feb 29; 21(2):133-136. PubMed ID: 28613085 [Abstract] [Full Text] [Related]
17. Identifying balance impairments in people with Parkinson's disease using video and wearable sensors. Stack E, Agarwal V, King R, Burnett M, Tahavori F, Janko B, Harwin W, Ashburn A, Kunkel D. Gait Posture; 2018 May 29; 62():321-326. PubMed ID: 29614464 [Abstract] [Full Text] [Related]
19. The timing of control signals underlying fast point-to-point arm movements. Ghafouri M, Feldman AG. Exp Brain Res; 2001 Apr 29; 137(3-4):411-23. PubMed ID: 11355386 [Abstract] [Full Text] [Related]