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Mary Grace N. Tamio
shared news
在 June 29 2023 at 07:38 PM
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Sensitivity and Specificity of Wearables for Atrial Fibrillation in Elderly Populations: A Systematic Review
#wearables
#atrialfibrillation
#journals
#articles
More info | ⬇️
Sensitivity and Specificity of Wearables for Atrial Fibrillation in Elderly Populations: A Systematic Review
This study aims to evaluate the sensitivity and specificity of wearable devices for AF detection in older adults, as well ...
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Mary Grace N. Tamio
在 December 01 2022 at 08:54 PM
已編輯
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Fitness levels can be accurately predicted using wearable devices—no exercise required
#fitness
#wearables
#wearabledevices
More info | ⬇️
https://cn1699.com/news/fitness-levels-can-be-accurately-predicted-using-wearable-devices%E2%80%94no-exercise-required
Fitness levels can be accurately predicted using wearable devices—no exercise required | CN1699
Cambridge researchers have developed a method for measuring overall fitness accurately on wearable devices—and more robustly than current consumer...
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Mary Grace N. Tamio
在 November 07 2022 at 05:47 PM
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A skin-stroking device could help curb alcohol cravings
#wearables
#wearabledevice
#medicaldevice
More info | ⬇️
https://cn1699.com/news/skin-stroking-device-could-help-curb-alcohol-cravings
A skin-stroking device could help curb alcohol cravings | CN1699
Aalto University researchers are developing a device that helps support sobriety in conjunction with other treatments, such as psychosocial...
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Mary Grace N. Tamio
在 October 21 2022 at 11:08 PM
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Low Temperature Graphene Coating for Enhanced Wearables
#graphene
#wearables
More info | ⬇️
https://cn1699.com/news/low-temperature-graphene-coating-enhanced-wearables
Low Temperature Graphene Coating for Enhanced Wearables | CN1699
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Mary Grace N. Tamio
在 July 27 2022 at 10:03 PM
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Wearable system detects COVID two days before symptoms appear
#wearables
#wearablesystem
#COVID19
For more information | ⬇️
https://cn1699.com/news/wearable-system-detects-covid-two-days-symptoms-appear
Wearable system detects COVID two days before symptoms appear | CN1699
Using data from a wearable, an algorithm could predict 68% of COVID cases two days before symptoms appeared
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