Detalles de la búsqueda
1.
An explanation for the accuracy of sensor-based measures of energy intake: Amount of food consumed matters more than dietary composition.
Appetite
; 194: 107176, 2024 03 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38154576
2.
Toward more rigorous and informative nutritional epidemiology: The rational space between dismissal and defense of the status quo.
Crit Rev Food Sci Nutr
; 63(18): 3150-3167, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-34678079
3.
Combining passive eating monitoring and ecological momentary assessment to characterize dietary lapses from a lifestyle modification intervention.
Appetite
; 175: 106090, 2022 Aug 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35598718
4.
Evaluating Pedometer Algorithms on Semi-Regular and Unstructured Gaits.
Sensors (Basel)
; 21(13)2021 Jun 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-34206289
5.
Detecting Eating Episodes From Wrist Motion Using Daily Pattern Analysis.
IEEE J Biomed Health Inform
; 28(2): 1054-1065, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38079368
6.
Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Prediabetes and Obesity.
J Diabetes Sci Technol
; 18(2): 266-272, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-37747075
7.
A new method for measuring meal intake in humans via automated wrist motion tracking.
Appl Psychophysiol Biofeedback
; 37(3): 205-15, 2012 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-22488204
8.
Top-Down Detection of Eating Episodes by Analyzing Large Windows of Wrist Motion Using a Convolutional Neural Network.
Bioengineering (Basel)
; 9(2)2022 Feb 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-35200423
9.
Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocol.
Digit Health
; 7: 2055207620988212, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33598309
10.
Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial.
JMIR Res Protoc
; 10(12): e33568, 2021 Dec 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-34874892
11.
The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss Program.
J Technol Behav Sci
; 6(2): 406-418, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-35356149
12.
Head movements and simulator sickness generated by a virtual environment.
Aviat Space Environ Med
; 81(10): 929-34, 2010 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-20922884
13.
The role of self-efficacy and information processing in weight loss during an mHealth behavioral intervention.
Digit Health
; 6: 2055207620976755, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33294209
14.
Between- and Within-Subjects Predictors of the Kilocalorie Content of Bites of Food.
J Acad Nutr Diet
; 119(7): 1109-1117, 2019 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-30777655
15.
Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions.
J Acad Nutr Diet
; 119(9): 1516-1524, 2019 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-31155473
16.
Bite count rates in free-living individuals: new insights from a portable sensor.
BMC Nutr
; 4: 23, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-32153886
17.
Real-time correction of heart interbeat intervals.
IEEE Trans Biomed Eng
; 54(5): 946-50, 2007 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-17518294
18.
Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables.
IEEE J Biomed Health Inform
; 21(3): 599-606, 2017 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-28113994
19.
A comparison of bite size and BMI in a cafeteria setting.
Physiol Behav
; 181: 38-42, 2017 Nov 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-28890272
20.
Measuring the Consumption of Individual Solid and Liquid Bites Using a Table-Embedded Scale During Unrestricted Eating.
IEEE J Biomed Health Inform
; 21(6): 1711-1718, 2017 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-27898385