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apple inc smartphone iphone 7
Smartphone Iphone 7, supplied by apple inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/smartphone+iphone+7/smartphone+iphone+7/pmc12262556-91-10-15
Average 90 stars, based on 1 article reviews
smartphone iphone 7 - by Bioz Stars, 2026-09
90/100 stars

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Immunocytochemistry:

Article Title: TracMyAir smartphone application for modeling exposures to PM 2.5 and ozone - Integration with air quality networks and location-activity sensors.
Article Snippet: • iPhone application that determines personal exposure metrics for ambient fine particulate matter and ozone • Fine-scale exposure model uses outdoor concentrations, home building characteristics, weather, and time-activity data • Method can improve exposure assessments for epidemiologic studies A R T I C L E I N F O

Article Title: Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review
Article Snippet: Garcia et al (2019) [ ] , Smartphone ( iPhone 7, Apple Inc ) Camera (standard image) , Capture facial images.

Article Title: Cuffless blood pressure estimation based on haemodynamic principles: progress towards mobile healthcare
Article Snippet: All participants had their own smartphone, including iPhone 7, 8, X, XS, 11 and 11 Pro (Apple Inc., Cupertino, U.S.A.).

Article Title: A Dietary Sugarcane-Derived Polyphenol Mix Reduces the Negative Effects of Cyclic Heat Exposure on Growth Performance, Blood Gas Status, and Meat Quality in Broiler Chickens
Article Snippet: Video recordings (2 chickens/pen) were made at 12:00 on day 34 with a smartphone (iPhone 7, Apple Inc., Cupertino, CA, USA) for subsequent analysis of respiration rate.

Article Title: Head-Cervical Spine Motion Measurement in Healthy Population: Comparison of CROM Apparatus and "G-Plus" APP on iPhone.
Article Snippet: -BACKGROUND: Assessment of head-cervical spine motion (HCSM) is a vital index of functional evaluation for cervical surgery, but there is a lack of HCSM datasets in the healthy population and no suitable tools to measure HCSM in clinical practice.. The objectives of this study were to obtain the normal values of HCSM in a healthy population, test the reliability and validity of an APP “G-Plus,” and analyze related influencing factors of HCSM.

Article Title: Smartphone-Based Assessment of Postural Balance in Patients With End-Stage Knee Osteoarthritis: A Cross-Sectional Study
Article Snippet: Acceleration data analysis Acceleration data were acquired from a smartphone (iPhone 7, software version 15.6.1; Apple Inc., Cupertino, CA, USA) equipped with a built-in 3D accelerometer, using the MATLAB Mobile app (free version; MathWorks, v. 8.9.1; MathWorks, Inc., Natick, MA, USA).

Article Title: Validity and reliability of “ My Jump app ” to assess vertical jump performance: a meta-analytic review
Article Snippet: Jimenez-Olmedo et al. (2022) , N = 39, active adult athletes, 25 male (age = 22.2 ± 2.7 years, height = 180.1 ± 4.4 cm, body mass = 77.6 ± 6.8 kg) and 14 female (age = 23.2 ± 1.8 years, height = 170.7 ± 4.4 cm, body mass = 66.2 ± 4.0 kg) , two iPhone 7 units (Apple Inc., Cupertino, CA, USA) , CMJ , Two identical smartphones recorded 195 countermovement jump executions at heights 30 and 90 cm, which were randomly assessed by three experienced observers. The videos were randomly analyzed in regard to the observation heights, jump trials, and participants , Not reported , Not reported , Not reported , CMJ, ICC = 0.99 (between-observer) ICC = 0.99 (within-observer).

Article Title: External validation of a machine learning based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study.
Article Snippet: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.. 1 External validation of a machine learning based classification algorithm 1 for ambulatory heart rhythm diagnostics in pericardioversion atrial 2 fibrillation patients using smartphone photoplethysmography: the 3 SMARTBEATS-ALGO study 4 5

Activity Assay:

Article Title: TracMyAir smartphone application for modeling exposures to PM 2.5 and ozone - Integration with air quality networks and location-activity sensors.
Article Snippet: • iPhone application that determines personal exposure metrics for ambient fine particulate matter and ozone • Fine-scale exposure model uses outdoor concentrations, home building characteristics, weather, and time-activity data • Method can improve exposure assessments for epidemiologic studies A R T I C L E I N F O

Article Title: Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review
Article Snippet: Garcia et al (2019) [ ] , Smartphone ( iPhone 7, Apple Inc ) Camera (standard image) , Capture facial images.

Article Title: Cuffless blood pressure estimation based on haemodynamic principles: progress towards mobile healthcare
Article Snippet: All participants had their own smartphone, including iPhone 7, 8, X, XS, 11 and 11 Pro (Apple Inc., Cupertino, U.S.A.).

Article Title: A Dietary Sugarcane-Derived Polyphenol Mix Reduces the Negative Effects of Cyclic Heat Exposure on Growth Performance, Blood Gas Status, and Meat Quality in Broiler Chickens
Article Snippet: Video recordings (2 chickens/pen) were made at 12:00 on day 34 with a smartphone (iPhone 7, Apple Inc., Cupertino, CA, USA) for subsequent analysis of respiration rate.

Article Title: Head-Cervical Spine Motion Measurement in Healthy Population: Comparison of CROM Apparatus and "G-Plus" APP on iPhone.
Article Snippet: -BACKGROUND: Assessment of head-cervical spine motion (HCSM) is a vital index of functional evaluation for cervical surgery, but there is a lack of HCSM datasets in the healthy population and no suitable tools to measure HCSM in clinical practice.. The objectives of this study were to obtain the normal values of HCSM in a healthy population, test the reliability and validity of an APP “G-Plus,” and analyze related influencing factors of HCSM.

Article Title: Smartphone-Based Assessment of Postural Balance in Patients With End-Stage Knee Osteoarthritis: A Cross-Sectional Study
Article Snippet: Acceleration data analysis Acceleration data were acquired from a smartphone (iPhone 7, software version 15.6.1; Apple Inc., Cupertino, CA, USA) equipped with a built-in 3D accelerometer, using the MATLAB Mobile app (free version; MathWorks, v. 8.9.1; MathWorks, Inc., Natick, MA, USA).

Article Title: Validity and reliability of “ My Jump app ” to assess vertical jump performance: a meta-analytic review
Article Snippet: Jimenez-Olmedo et al. (2022) , N = 39, active adult athletes, 25 male (age = 22.2 ± 2.7 years, height = 180.1 ± 4.4 cm, body mass = 77.6 ± 6.8 kg) and 14 female (age = 23.2 ± 1.8 years, height = 170.7 ± 4.4 cm, body mass = 66.2 ± 4.0 kg) , two iPhone 7 units (Apple Inc., Cupertino, CA, USA) , CMJ , Two identical smartphones recorded 195 countermovement jump executions at heights 30 and 90 cm, which were randomly assessed by three experienced observers. The videos were randomly analyzed in regard to the observation heights, jump trials, and participants , Not reported , Not reported , Not reported , CMJ, ICC = 0.99 (between-observer) ICC = 0.99 (within-observer).

Article Title: External validation of a machine learning based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study.
Article Snippet: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.. 1 External validation of a machine learning based classification algorithm 1 for ambulatory heart rhythm diagnostics in pericardioversion atrial 2 fibrillation patients using smartphone photoplethysmography: the 3 SMARTBEATS-ALGO study 4 5

Standard Deviation:

Article Title: TracMyAir smartphone application for modeling exposures to PM 2.5 and ozone - Integration with air quality networks and location-activity sensors.
Article Snippet: • iPhone application that determines personal exposure metrics for ambient fine particulate matter and ozone • Fine-scale exposure model uses outdoor concentrations, home building characteristics, weather, and time-activity data • Method can improve exposure assessments for epidemiologic studies A R T I C L E I N F O

Article Title: Mobile and Wearable Technology for the Monitoring of Diabetes-Related Parameters: Systematic Review
Article Snippet: Garcia et al (2019) [ ] , Smartphone ( iPhone 7, Apple Inc ) Camera (standard image) , Capture facial images.

Article Title: Cuffless blood pressure estimation based on haemodynamic principles: progress towards mobile healthcare
Article Snippet: All participants had their own smartphone, including iPhone 7, 8, X, XS, 11 and 11 Pro (Apple Inc., Cupertino, U.S.A.).

Article Title: A Dietary Sugarcane-Derived Polyphenol Mix Reduces the Negative Effects of Cyclic Heat Exposure on Growth Performance, Blood Gas Status, and Meat Quality in Broiler Chickens
Article Snippet: Video recordings (2 chickens/pen) were made at 12:00 on day 34 with a smartphone (iPhone 7, Apple Inc., Cupertino, CA, USA) for subsequent analysis of respiration rate.

Article Title: Head-Cervical Spine Motion Measurement in Healthy Population: Comparison of CROM Apparatus and "G-Plus" APP on iPhone.
Article Snippet: -BACKGROUND: Assessment of head-cervical spine motion (HCSM) is a vital index of functional evaluation for cervical surgery, but there is a lack of HCSM datasets in the healthy population and no suitable tools to measure HCSM in clinical practice.. The objectives of this study were to obtain the normal values of HCSM in a healthy population, test the reliability and validity of an APP “G-Plus,” and analyze related influencing factors of HCSM.

Article Title: Smartphone-Based Assessment of Postural Balance in Patients With End-Stage Knee Osteoarthritis: A Cross-Sectional Study
Article Snippet: Acceleration data analysis Acceleration data were acquired from a smartphone (iPhone 7, software version 15.6.1; Apple Inc., Cupertino, CA, USA) equipped with a built-in 3D accelerometer, using the MATLAB Mobile app (free version; MathWorks, v. 8.9.1; MathWorks, Inc., Natick, MA, USA).

Article Title: Validity and reliability of “ My Jump app ” to assess vertical jump performance: a meta-analytic review
Article Snippet: Jimenez-Olmedo et al. (2022) , N = 39, active adult athletes, 25 male (age = 22.2 ± 2.7 years, height = 180.1 ± 4.4 cm, body mass = 77.6 ± 6.8 kg) and 14 female (age = 23.2 ± 1.8 years, height = 170.7 ± 4.4 cm, body mass = 66.2 ± 4.0 kg) , two iPhone 7 units (Apple Inc., Cupertino, CA, USA) , CMJ , Two identical smartphones recorded 195 countermovement jump executions at heights 30 and 90 cm, which were randomly assessed by three experienced observers. The videos were randomly analyzed in regard to the observation heights, jump trials, and participants , Not reported , Not reported , Not reported , CMJ, ICC = 0.99 (between-observer) ICC = 0.99 (within-observer).

Article Title: External validation of a machine learning based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study.
Article Snippet: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.. 1 External validation of a machine learning based classification algorithm 1 for ambulatory heart rhythm diagnostics in pericardioversion atrial 2 fibrillation patients using smartphone photoplethysmography: the 3 SMARTBEATS-ALGO study 4 5



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