Determining a Likely Mechanism of Missingness in Repeated Measures Sleep Data From #Wearable #FitnessTrackers: Longitudinal Analysis Background: #Wearable #FitnessTrackers have become a valuable tool in public #Health research due to their ability to collect large-scale, individual-level data at a low cost. Because of this, #Wearables have the potential to mitigate the urgent need for #Health research in low-resource settings. However, their use has been largely limited to high-income settings, and a major challenge remains: high rates of missing data. This problem may be exacerbated in low-resource environments where logistical and operational barriers further complicate data collection. #Wearable sleep data collected in an urban informal settlement in Uganda during The Onward Project on Well-being and Adversity project revealed substantial challenges related to missingness in low-resource research settings. Objective: The study aimed to characterize the patterns and frequency of missing data and to demonstrate the use of analytical methods to determine the underlying missingness mechanism. Methods: For this study, 300 women in slum communities in Kampala were equipped with Garmin smartwatches that collected data over 5 days. The nature of missingness was assessed through four methods: pattern analysis, the Little test, a random forest classification model, and a logistic regression classification model. Pattern analysis is an established method of identifying missing data patterns, while the Little test is used specifically to identify missing completely at random data. Random forest and logistic regression models are more recent methods proposed to identify the mechanism of missingness; both were used to examine agreement between the 2 methods and to ensure a thorough examination of missingness patterns. Results: Approximately 30% of nighttime data were missing. Three patterns were identified that occurred in over 10% of participants’ data: no data missing, fifth night of data missing, and all nights of data missing. Pattern analysis and the Little test (

New in JMIR mhealth: Determining a Likely Mechanism of Missingness in Repeated Measures Sleep Data From #Wearable #FitnessTrackers: Longitudinal Analysis

Samsung finally brings blood pressure tracking to US Galaxy Watches https://thever.ge/QeqB #Wearable #Gadgets #Samsung #News #Tech

You can embody the moth with this Wearable Antennae Pattern!

Pattern Links can be found here: craftyintentions.com#/wearable-an...

#craftyintentions #crochet #wearablecrochet #antennae #crochetpattern #amigurumi #moth #fiberart #softsculpture #wearable #headband #horns #antenna

Examining the Use of Consumer #Wearable Devices and #Digital Tools for Stress Measurement in College Students: Scoping Review of Methods Background: College-aged students face persistent academic and social stress that adversely affects their mental and physical #Health. #Digital phenotyping with #Wearable devices enables real-time stress monitoring from continuous physiological signals, supporting just-in-time therapeutic interventions to improve student well-being. Despite rapid advances in #Wearables and analytical methods, it remains unclear which devices, physiological signals, and machine learning or deep learning approaches are most commonly used for stress detection in this population. Objective: This study aimed to systematically review the literature to identify best practices and emerging trends in stress measurement using #Wearable technology and #Digital tools among college-aged students. We sought to evaluate commonalities in sensor types, datasets, and machine learning approaches used for stress detection. Methods: A systematic search was conducted across medical and computer science databases, including Embase, PubMed, IEEE Xplore, and ACM #Digital Library, for studies published between January 2020 and December 2025. Studies were included if they examined psychological stress detection using #Wearable or #Digital tools among college-aged students and were excluded if they focused on nonpsychological stress, were reviews or prototypes without a defined study population, or lacked clear population information. Two reviewers independently screened studies and extracted data on the #Wearable sensors, physiological signals, datasets, and modeling approaches to summarize trends in stress prediction. Results: A total of 134 studies met the inclusion criteria and were included in the review from the original 792 papers. Electrodermal activity was the most frequently used physiological signal, appearing in 57.5% (n=77) of studies, and wrist-worn #Wearable devices were the predominant sensing modality. Among studies that compared algorithms, support vector machines were identified as the most commonly applied and best-performing model in 33.3% (n=45) of cases. Overall, 62.8% (n=84) of included studies relied on preexisting datasets, and approximately 80% (n=67) of those used the #Wearable Stress and Affect Detection dataset, which contains only 15 participants. Demographic reporting was inconsistent, as 27.6% (n=37) of studies did not report sex distribution, and only 4 studies justified the sample size. The use of temporal modeling algorithms was limited, despite their importance for capturing the dynamic, time-varying nature of stress. This review highlights persistent gaps and underscores the need for more diverse datasets and advanced modeling approaches to improve stress detection accuracy. Conclusions: Our review innovatively synthesizes #Wearable-based stress detection research focused on college-aged students. Unlike prior reviews that aggregate heterogeneous populations or focus primarily on algorithmic performance, this review focused on #Wearable sensors, physiological signals, modeling approaches, and methodological quality to identify persistent gaps limiting real-world deployment. These findings inform the development of more generalizable monitoring systems to support early mental #Health intervention in students.

New in JMIR mhealth: Examining the Use of Consumer #Wearable Devices and #Digital Tools for Stress Measurement in College Students: Scoping Review of Methods

$37.9m initiative to help Singaporeans age well Singapore launches a $37.9 million initiative to develop technologies for healthy ageing, focusing on AI, robotics, and personalised healthcare. Read more at straitstimes.com. Read more at straitstime...

In #Singapore an #artificialintelligence tool that can predict fracture #risk in seconds and #wearable #sensors for fall risk are among the solutions being developed in a $37.9 million programme to help Singaporeans age more #healthily with #technology.

www.straitstimes.com/singapore/he...

Aurora Borealis!

At this time of year? At this time of day? In this part of the country? Localized ENTIRELY in this tail?

...

Yes!

Want a tail like this of your own? 🤔

#furry #therian #tail #crafts #floofy #wearable #yarnvstheresult

Wearable Intelligent Throat Discover how the wearable intelligent throat uses AI and sensors to help stroke patients speak again.

What if you could speak… without using your voice?

A #wearable “intelligent throat” uses #AI to turn silent muscle movements into real speech for patients with stroke or ALS.

The future of communication in #medicine is already here.

www.musumeci.online/the-wearable...

Multiple Garmin smartwatches get inReach Remote update ahead of future stable rollout Garmin has started the weekend by rolling out a new update to many of its older high-end smartwatches. Replacing a recent beta release, Beta Version 26.07 should resolve an issue that impacts inReach ...

Multiple Garmin smartwatches get inReach Remote update ahead of future stable rollout tinyurl.com/yfd9wsf6 #Garmin #GarminFenix #Fenix7 #Fenix7Pro #smartwatch #wearable

My friend got me an interesting birthday present. 🫨 #iykyk #wearable #birthday

Garmin releases new update with Garmin Coach improvements to older smartwatches Garmin claims to have improved its Garmin Coach service across multiple high-end smartwatches. Also featuring a potential Garmin Connect issue, v26.06 is currently being beta tested across Enduro 2, F...

Garmin releases new update with Garmin Coach improvements to older smartwatches tinyurl.com/yf5n6mzz #Garmin #GarminFenix #GarminCoach #smartwatch #wearable

Original post on eweek.com

Figure AI Founder Bets on ‘Family’ of AI Devices with New Venture Hark Brett Adcock launches Hark to build AI devices as OpenAI, Apple, and Meta push into hardware, raising questions about the ...

#Artificial #Intelligence #Hardware #Innovation #International #Latest #News #Wearable #Tech #ai […]

Fitbit’s budget-friendly Inspire 3 is $30 off, matching its best price https://thever.ge/zEUj #VergeShopping #Wearable #Fitness #Gadgets #Deals #Tech

Meta gets ready to launch two new Ray-Ban AI glasses https://thever.ge/K8bp #Wearable #Gadgets #Lowpass #Column #Meta #Tech #AI

A pair of teal blue crocheted slipper socks.

Hot off the hook: slipper socks for my husband. 🧶 #crochet #wearable #socks

Pattern is from the "Toe Up Crochet Socks" class on Craftsy

The AI‑Driven Wearable Designed for Quiet Nights by QReverse - New Gizmo For roughly half of humanity, snoring is no joke . Studies show that about 45% of adult men and 26% of adult women snore , and in some households, that nightly

This #innovative, non‑invasive #AI enabled #wearable takes a smarter and much better‑looking approach to nighttime peace. I #sleep #gadget #NewGizmoBlog newgizmoblog.com/2026/02/15/t...

Multiple Garmin smartwatches get cellular connectivity improvements with new update Garmin has finalised a new update for its current Pro-branded smartwatches. Rolling out globally as a free update, System Software 21.39 is said to improve the cellular connectivity experience while i...

Multiple Garmin smartwatches get cellular connectivity improvements with new update tinyurl.com/52jst3nb #Garmin #GarminFenix #Fenix8Pro #Quatix8Pro #smartwatch #wearable

Seiko resurrected a 44-year-old digital watch NASA astronauts wore to space https://thever.ge/6bTV #Wearable #Gadgets #News #Tech

The Apple Watch SE 3 is even easier to recommend at $50 off https://thever.ge/xPEG #VergeShopping #Smartwatch #Wearable #Gadgets #Apple #Deals #Tech

#Electronic #Health #Records #Artificial #Intelligence #Privacy #Wearable #Computing #Computers #and #the

Origin | Interest | Match

The kid-friendly Fitbit Ace is $100, which matches its best price https://thever.ge/oNE7 #VergeShopping #Smartwatch #Wearable #Gadgets #Deals #Tech

Out of office #tshirt #graphictees #streetstyle #fashiontok #ootd #branddrop #shopnow #wearable #styleinspo #trending shorturl.at/r5hmj

Not the greatest pictures but I made a mesh sweater! I needed something to do with the pink frilly yarn in my stash, and I'm pretty happy with it! #crochet #sweater #yarn #handmade #cure #wearable #idea

His and hers. #tshirt #graphictees #streetstyle #fashiontok #ootd #branddrop #shopnow #wearable #styleinspo #trending shorturl.at/r5hmj

Wearable internet moment live now #tshirt #graphictees #streetstyle #fashiontok #ootd #branddrop #shopnow #wearable #styleinspo #trending shorturl.at/r5hmj