research grade wrist worn biosensor Search Results


research grade wrist worn biosensor  (Empatica Inc)
86
Empatica Inc research grade wrist worn biosensor
Research Grade Wrist Worn Biosensor, supplied by Empatica Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/research+grade+wrist+worn+biosensor/pm42154268-64-8-12?v=Empatica+Inc
Average 86 stars, based on 1 article reviews
research grade wrist worn biosensor - by Bioz Stars, 2026-07
86/100 stars
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research-grade wrist-worn device actigraph gt3x  (ActiGraph llc)
90
ActiGraph llc research-grade wrist-worn device actigraph gt3x
Research Grade Wrist Worn Device Actigraph Gt3x, supplied by ActiGraph llc, 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/research+grade+wrist+worn+biosensor/pm40101170-141-27-30?v=ActiGraph+llc
Average 90 stars, based on 1 article reviews
research-grade wrist-worn device actigraph gt3x - by Bioz Stars, 2026-07
90/100 stars
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research-grade wrist actigraphy device micortm a100  (Magellan Navigation)
90
Magellan Navigation research-grade wrist actigraphy device micortm a100
Methods for calculating rest–activity rhythms of physical activity and human–smartphone interactions. (A) Physical activity data measured by wrist <t>actigraphy.</t> (B) Human–smartphone interaction patterns obtained by tracking timestamps of three key variables: screen on/off events, notifications, and the app being used recorded by the Rhythm app. (C) The algorithm converts these timestamps into “app-counts,” analogous to “acti-counts” in physical activities. The app-counts exhibit diurnal fluctuation in the 24-h data. (D) The 7-day (168 h) data from either the Rhythm app or actigraphy enables the calculation of rest–activity rhythms.
Research Grade Wrist Actigraphy Device Micortm A100, supplied by Magellan Navigation, 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/research+grade+wrist+worn+biosensor/pmc11976045-96-7-13?v=Magellan+Navigation
Average 90 stars, based on 1 article reviews
research-grade wrist actigraphy device micortm a100 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
research grade wrist worn accelerometer  (Axivity Ltd)
86
Axivity Ltd research grade wrist worn accelerometer
Methods for calculating rest–activity rhythms of physical activity and human–smartphone interactions. (A) Physical activity data measured by wrist <t>actigraphy.</t> (B) Human–smartphone interaction patterns obtained by tracking timestamps of three key variables: screen on/off events, notifications, and the app being used recorded by the Rhythm app. (C) The algorithm converts these timestamps into “app-counts,” analogous to “acti-counts” in physical activities. The app-counts exhibit diurnal fluctuation in the 24-h data. (D) The 7-day (168 h) data from either the Rhythm app or actigraphy enables the calculation of rest–activity rhythms.
Research Grade Wrist Worn Accelerometer, supplied by Axivity Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/research+grade+wrist+worn+biosensor/pmc12848490-149-16-19?v=Axivity+Ltd
Average 86 stars, based on 1 article reviews
research grade wrist worn accelerometer - by Bioz Stars, 2026-07
86/100 stars
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wrist-worn devices  (ActiGraph llc)
90
ActiGraph llc wrist-worn devices
Methods for calculating rest–activity rhythms of physical activity and human–smartphone interactions. (A) Physical activity data measured by wrist <t>actigraphy.</t> (B) Human–smartphone interaction patterns obtained by tracking timestamps of three key variables: screen on/off events, notifications, and the app being used recorded by the Rhythm app. (C) The algorithm converts these timestamps into “app-counts,” analogous to “acti-counts” in physical activities. The app-counts exhibit diurnal fluctuation in the 24-h data. (D) The 7-day (168 h) data from either the Rhythm app or actigraphy enables the calculation of rest–activity rhythms.
Wrist Worn Devices, supplied by ActiGraph llc, 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/research+grade+wrist+worn+biosensor/pmc11440759-262-10-15?v=ActiGraph+llc
Average 90 stars, based on 1 article reviews
wrist-worn devices - by Bioz Stars, 2026-07
90/100 stars
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wrist-worn accelerometer geneactiv  (ActiGraph llc)
90
ActiGraph llc wrist-worn accelerometer geneactiv
Methods for calculating rest–activity rhythms of physical activity and human–smartphone interactions. (A) Physical activity data measured by wrist <t>actigraphy.</t> (B) Human–smartphone interaction patterns obtained by tracking timestamps of three key variables: screen on/off events, notifications, and the app being used recorded by the Rhythm app. (C) The algorithm converts these timestamps into “app-counts,” analogous to “acti-counts” in physical activities. The app-counts exhibit diurnal fluctuation in the 24-h data. (D) The 7-day (168 h) data from either the Rhythm app or actigraphy enables the calculation of rest–activity rhythms.
Wrist Worn Accelerometer Geneactiv, supplied by ActiGraph llc, 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/research+grade+wrist+worn+biosensor/10__1249_slash_mss__0000000000000978-39-3-16?v=ActiGraph+llc
Average 90 stars, based on 1 article reviews
wrist-worn accelerometer geneactiv - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

Image Search Results


Methods for calculating rest–activity rhythms of physical activity and human–smartphone interactions. (A) Physical activity data measured by wrist actigraphy. (B) Human–smartphone interaction patterns obtained by tracking timestamps of three key variables: screen on/off events, notifications, and the app being used recorded by the Rhythm app. (C) The algorithm converts these timestamps into “app-counts,” analogous to “acti-counts” in physical activities. The app-counts exhibit diurnal fluctuation in the 24-h data. (D) The 7-day (168 h) data from either the Rhythm app or actigraphy enables the calculation of rest–activity rhythms.

Journal: Depression and Anxiety

Article Title: Rest–Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and Human–Smartphone Interactions

doi: 10.1155/da/2617282

Figure Lengend Snippet: Methods for calculating rest–activity rhythms of physical activity and human–smartphone interactions. (A) Physical activity data measured by wrist actigraphy. (B) Human–smartphone interaction patterns obtained by tracking timestamps of three key variables: screen on/off events, notifications, and the app being used recorded by the Rhythm app. (C) The algorithm converts these timestamps into “app-counts,” analogous to “acti-counts” in physical activities. The app-counts exhibit diurnal fluctuation in the 24-h data. (D) The 7-day (168 h) data from either the Rhythm app or actigraphy enables the calculation of rest–activity rhythms.

Article Snippet: The participants were instructed to wear a research-grade wrist actigraphy device (MiCorTM A100, MiTAC Inc. Taiwan) on their nondominant wrist for a minimum of 4 weeks.

Techniques: Activity Assay

Demographics and characteristics by groups divided by rest–activity rhythm patterns.

Journal: Depression and Anxiety

Article Title: Rest–Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and Human–Smartphone Interactions

doi: 10.1155/da/2617282

Figure Lengend Snippet: Demographics and characteristics by groups divided by rest–activity rhythm patterns.

Article Snippet: The participants were instructed to wear a research-grade wrist actigraphy device (MiCorTM A100, MiTAC Inc. Taiwan) on their nondominant wrist for a minimum of 4 weeks.

Techniques: Comparison

Rest–activity rhythm patterns measured by actigraphy and Rhythm app for 7 days (168 h) in each group. (A) Individuals from the “earlier” group with earlier acrophase measures in both actigraphy (13.45, i.e., 13:27 PM) and human–smartphone interaction patterns (13.34). (B) Individuals from the “later” group with a later acrophase from both measures (15.92 and 16.10, respectively). (C) Individuals from the “irregular” group showing irregular rest–activity rhythm patterns, indicated by lower interdaily stability (IS) measured by actigraphy and Rhythm app, high intradaily variability (IV) measured by the app, and the greatest inconsistency between actigraphy- and app-measured acrophase (12.40 and 16.67, respectively).

Journal: Depression and Anxiety

Article Title: Rest–Activity Rhythm Patterns and Their Associations With Depression and Obesity: A Study Using Actigraphy and Human–Smartphone Interactions

doi: 10.1155/da/2617282

Figure Lengend Snippet: Rest–activity rhythm patterns measured by actigraphy and Rhythm app for 7 days (168 h) in each group. (A) Individuals from the “earlier” group with earlier acrophase measures in both actigraphy (13.45, i.e., 13:27 PM) and human–smartphone interaction patterns (13.34). (B) Individuals from the “later” group with a later acrophase from both measures (15.92 and 16.10, respectively). (C) Individuals from the “irregular” group showing irregular rest–activity rhythm patterns, indicated by lower interdaily stability (IS) measured by actigraphy and Rhythm app, high intradaily variability (IV) measured by the app, and the greatest inconsistency between actigraphy- and app-measured acrophase (12.40 and 16.67, respectively).

Article Snippet: The participants were instructed to wear a research-grade wrist actigraphy device (MiCorTM A100, MiTAC Inc. Taiwan) on their nondominant wrist for a minimum of 4 weeks.

Techniques: Activity Assay