Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                

Search Articles

View query in Help articles search

Search Results (1 to 10 of 28221 Results)

Download search results: CSV END BibTex RIS


Convergence in Mobility Data Sets From Apple, Google, and Meta

Convergence in Mobility Data Sets From Apple, Google, and Meta

In this work, we selected the month of April 2022 to analyze the market share of different MOSs, which is when the first tech company (ie, Apple) stopped their mobility data collection. A total of 58 countries were analyzed, which were the countries present in all 3 mobility data sets. A breakdown of the countries is available in Multimedia Appendix 1. Each one of the 3 companies provided their data in daily batches, which we treated in 7-day periods.

Gustavo Sganzerla Martinez, David J Kelvin

JMIR Public Health Surveill 2023;9:e44286


Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan

Characteristics of Acute Childhood Illness Apps for Parents: Environmental Scan

These terms were searched 4 times on September 14, 2020, for 4 marketplace locations (the US Apple App Store, US Google Play Store, Canadian Apple App Store, and Canadian Google Play Store), and a maximum of 50 results per search term per store returned (for a maximum of 850 apps returned per store location across all searches).

James Benoit, Lisa Hartling, Michelle Chan, Shannon Scott

J Med Internet Res 2021;23(10):e29441


Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study

Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study

Fitbit Charge 2 (top) and Apple Watch 3 (bottom) compared to the electrocardiogram (ECG) across 24-hours. bpm: beats per minute. Overall, across the 24-hour recording, the Apple Watch 3 had a MAPE of 5.86%, whereas the Fitbit Charge 2 had MAPE of 5.96%. During sitting conditions, the Apple Watch 3 had a MAPE of 7.21%, whereas the Fitbit Charge 2 had a MAPE of 6.93%. During walking conditions, the Apple Watch 3 had a MAPE of 4.64%, whereas the Fitbit Charge 2 had a MAPE of 9.21%.

Benjamin W W Nelson, Nicholas B Allen

JMIR Mhealth Uhealth 2019;7(3):e10828


Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

For analyses, we used Apple’s average daily information on the three types of trips as well as their ratios using a root search function on Apple Maps on each day compared with that on January 13, 2020. Apple provides no information regarding how many users or proportions of Apple users used this function. To elucidate the associations between R(t) and Apple data, we regressed R(t) on a polynomial function of daily data.

Junko Kurita, Yoshiyuki Sugishita, Tamie Sugawara, Yasushi Ohkusa

JMIR Public Health Surveill 2021;7(2):e20335


Acceptance of the Apple Watch Series 6 for Telemonitoring of Older Adults With Chronic Obstructive Pulmonary Disease: Qualitative Descriptive Study Part 1

Acceptance of the Apple Watch Series 6 for Telemonitoring of Older Adults With Chronic Obstructive Pulmonary Disease: Qualitative Descriptive Study Part 1

Using the staging system of the GOLD, which considers a variety of factors, such as exacerbations, symptom severity, and forced expiratory volume, 3 people (P4, P6, and P10) were classified as GOLD grade 4 with “very severe COPD,” 3 (P1, P8, and P9) as GOLD grade 3 with “severe COPD,” and 3 (P3, P5, and P7) as GOLD grade 2 with “mild to moderate COPD” [12].

Antonia Arnaert, Pia Sumbly, Daniel da Costa, Yuxin Liu, Zoumanan Debe, Sylvain Charbonneau

JMIR Aging 2023;6:e41549


Engagement and Participant Experiences With Consumer Smartwatches for Health Research: Longitudinal, Observational Feasibility Study

Engagement and Participant Experiences With Consumer Smartwatches for Health Research: Longitudinal, Observational Feasibility Study

Before enrollment, 9 participants had used a smartphone only (n=3), wearable only (n=3), or both (n=3) for health or activity monitoring. In total, 6894 watch questions and 643 gigabytes of sensor data were received over the 90-day study period. Participants wore the watch on 73% (81/90) of days. Over time, the number of active participants decreased (Figure 2): from 25 on the first day to 11 on the last day.

Anna L L Beukenhorst, Kelly Howells, Louise Cook, John McBeth, Terence W O'Neill, Matthew J Parkes, Caroline Sanders, Jamie C Sergeant, Katy S Weihrich, William G Dixon

JMIR Mhealth Uhealth 2020;8(1):e14368


Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

Wearables included ring-type devices (Oura Ring 3, Oura) and watch-type devices (Apple Watch 8, Apple Inc; Galaxy Watch 5, Samsung Electronics Co, Ltd; Fitbit Sense 2, Fitbit Inc; and Google Pixel Watch, Google LLC). Nearables included pad-type devices (Withings Sleep Tracking Mat, Withings) and motion sensor devices (Amazon Halo Rise, Amazon Inc; and Google Nest Hub 2, Google LLC).

Taeyoung Lee, Younghoon Cho, Kwang Su Cha, Jinhwan Jung, Jungim Cho, Hyunggug Kim, Daewoo Kim, Joonki Hong, Dongheon Lee, Moonsik Keum, Clete A Kushida, In-Young Yoon, Jeong-Whun Kim

JMIR Mhealth Uhealth 2023;11:e50983


Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study

Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study

This study aimed to assess if commercially available mobile health technology such as the Apple Watch could be used for monitoring home-based exercise in future cardiac rehabilitation programs. The purpose of this study was to evaluate the accuracy of the Apple Watch with regard to HR and EE measurements during exercise in patients with cardiovascular diseases.

Maarten Falter, Werner Budts, Kaatje Goetschalckx, Véronique Cornelissen, Roselien Buys

JMIR Mhealth Uhealth 2019;7(3):e11889


Continuous Measurement of Reconnaissance Marines in Training With Custom Smartphone App and Watch: Observational Cohort Study

Continuous Measurement of Reconnaissance Marines in Training With Custom Smartphone App and Watch: Observational Cohort Study

A specially designed software app, used for subject consent and data collection, was designed on Apple’s Research Kit platform (Apple Inc and Thread Research) for the purposes of this study (Figure 3) [15-17]. At the time of consent, i Phones and Apple Watches were distributed to study subjects, and they received a structured tutorial on how to use the app and Watch and were instructed to wear the Watch for collection all day and all night.

Leslie Saxon, Brooks DiPaula, Glenn R Fox, Rebecca Ebert, Josiah Duhaime, Luciano Nocera, Luan Tran, Mona Sobhani

JMIR Mhealth Uhealth 2020;8(6):e14116


Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study

Validity of the Polar M430 Activity Monitor in Free-Living Conditions: Validation Study

The Polar M430 (Polar Electro Oy, Kempele, Finland), released in 2017, is a sport watch with a 6–light-emitting diode wrist-based optical heart rate sensor and a 50-Hz triaxial accelerometer for tracking PA. It weighs 51 g, with 20 days of battery life. Acti Graph w GT3 X-BT (Acti Graph LLC, Pensacola, FL, USA) is a 19-g triaxial accelerometer with a 30- to 100-Hz sampling rate, to be worn on the wrist, hip, ankle, or thigh, with 25 days of battery life.

André Henriksen, Sameline Grimsgaard, Alexander Horsch, Gunnar Hartvigsen, Laila Hopstock

JMIR Form Res 2019;3(3):e14438