#WearableDevices

@scilightpress.bsky.social

6 days ago

[Health and Metabolism] Review highlights wearable tech in diabetes care, integrating CGMs, smartwatches, and AI-driven analytics for precision metabolic health.

www.sciltp.com/journals/hm/...

#diabetesmellitus #glucosemonitoring #wearabledevices #artificialintelligence #multiomics #digitalhealth

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@semi1-98.bsky.social

4 weeks ago

Europe Kids Smartwatch Market Size, Share | Growth Report 2035 Europe Kids Smartwatch Market is projected to reach 792.34 USD Billion, at a 7.84% CAGR by driving industry size, share, top company analysis, segments research, trends and forecast report 2025 to 339...

Europe Kids Smartwatch Market Size, Share | Growth Report 2035 www.marketresearchfuture.com/reports/euro...
#EuropeKidsSmartwatch #KidsWearables #SmartwatchTechnology #WearableDevices

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Peking University

@pku1898.bsky.social

2 months ago

FLEXI achieves error-free operation over 10¹⁰ fixed and random multiplications, withstands 40,000+ bending cycles, and maintains stable performance for over 6 months. This breakthrough brings real computing power to #WearableDevices, #SoftRobotics, and next-generation #HealthcareSystems. @nature.com

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RootNationEN

@rootnationen.bsky.social

2 months ago

Xiaomi is testing mobile payments on Smart Band 9 Pro Xiaomi has expanded the capabilities of its flagship Smart Band 9 Pro fitness bracelet by launching a special early access program, the Pioneer Program. The launch of the initiative was announced by Zhang Lei, head of the company’s wearables division. As part of the program, users get the opportunity to be the first to test […] Post Xiaomi is testing mobile payments on Smart Band 9 Pro at Root-Nation.com.

Xiaomi is testing mobile payments on Smart Band 9 Pro #Xiaomi #SmartBand9Pro #MobilePayments #FitnessTech #WearableDevices

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Victor Green & Company

@victorgreen.co.uk

2 months ago

Barbieri et al found that #Patent filings for textile-based #Electromyography sensors—used for detecting muscular activity—have shown a stable level of #Innovation, suggesting it is a mature area. bit.ly/3MMPbm5 #EMG #Wearables #WearableDevices #WearableTechnology #TextileBasedSensors #FES

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@semi1-98.bsky.social

2 months ago

US Kids Smartwatch Market Emerging Market Trends Reshaping Industries in 2026 www.marketresearchfuture.com/reports/us-k...
#KidsSmartwatch #ChildSafetyTech #WearableDevices #USTechTrends #SmartWearables

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Lantape Biosensors

@lantapebiosensors.com

3 months ago

💡 Why ear PPG beats wrist sensors: Better blood flow stability, reduced motion artifacts, and more accurate readings during exercise. Perfect for athletes and health-conscious individuals seeking reliable data! Learn more: https://lantape.com/benefits-of-ear-derived-photoplethysmography/ #FitnessTech #Athletes #HealthData #WearableDevices #SportsTech #HeartHealth #BiometricSensors #HealthTracking #MedTech #Innovation

💡 Why ear PPG beats wrist sensors: Better blood flow stability, reduced motion artifacts, and more accurate readings during exercise. Perfect for athletes and health-conscious individuals seeking reliable data!

Learn more: lantape.com/benefits-of-...

#FitnessTech #HealthData #WearableDevices

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Rocky Mountain ADA Center

@rockymountainada.adata.org

4 months ago

Wearable devices in the workplace and the ADA How does the use of wearable devices in the workplace implicate the Americans with Disabilities Act, and what legal considerations should employers and employees consider?

(2/2) Take a look: rockymountainada.org/resources/re...

#WearableDevices #Employment #ADA

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Pure Tech

@puretech.news

4 months ago

New Body-Heat Tech Could Eliminate Smartwatch Chargers A recent breakthrough in battery technology suggests that body heat could one day replace traditional chargers for smartwatches and other wearables. Researchers from a university in South Korea, led by...

New Body-Heat Tech Could Eliminate Smartwatch Chargers #Technology #ConsumerTechnology #Wearables #SmartwatchTech #WearableDevices #Innovation

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Pure Tech

@puretech.news

5 months ago

Former Meta employees launch a ring to take voice notes and control music A raft of voice-based hardware devices have emerged, aimed at companionship, productivity, or personal growth. These include card-shaped devices from Plaud and Pocket; pendants from Friend, Limitless,...

Former Meta employees launch a ring to take voice notes and control music #Technology #ConsumerTechnology #Wearables #VoiceTechnology #WearableDevices #Startups

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@alexandre-houizot.bsky.social

5 months ago

La startup Wearable Devices vient d’obtenir un brevet inédit aux États-Unis 🇺🇸.

🧠 Leur technologie permet de simuler des sensations physiques quand tu interagis avec des objets en VR/AR.

#VR #AR #IA #Startup #WearableDevices #RéalitéVirtuelle #RéalitéAugmentée #Futur #OutilsIA

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Pure Tech

@puretech.news

5 months ago

Sesame raises $250M to advance lifelike voice companions and wearable devices Sesame AI Inc., a company building lifelike artificial intelligence voice companions and lightweight wearable devices that enable natural, continuous conversation with an ever-present digital assistant,...

Sesame raises $250M to advance lifelike voice companions and wearable devices #Technology #EmergingTechnologies #ArtificialIntelligence #VoiceTechnology #WearableDevices #InvestmentNews

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GRAPHERGIA

@graphergia.bsky.social

5 months ago

🔊 Save the date for the next #GRAPHERGIAhub webinar on laser-induced #graphene & #MXenes for #WearableDevices!

🗓️ 13 November - 12:00 CET
🖥️ Register here: us06web.zoom.us/webinar/regi...

Speakers: Spyros Yannopoulos (@forth-ite.bsky.social) & Marko Spasenović (POLYGRAPH)

@australo.bsky.social

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Pure Tech

@puretech.news

6 months ago

I tested this Oura Ring alternative with similar health tracking features but at half the price The budget-friendly RingConn Gen 2 Air delivers impressive health-tracking features that compete with top-tier rivals. And it's more affordable than ever during Prime Day.

I tested this Oura Ring alternative with similar health tracking features but at half the price #Technology #ConsumerTechnology #Wearables #OuraRing #HealthTech #WearableDevices

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JMIR Publications

@jmirpub.bsky.social

7 months ago

Estimation of Brachial-Ankle Pulse Wave Velocity With Hierarchical Regression Model From Wrist Photoplethysmography and Electrocardiographic Signals: Method Design Background: Photoplethysmography (PPG) signals captured by wearable devices can provide vascular age information and support pervasive and long-term monitoring of personal health condition. Objective: In this study, we aimed to estimate brachial-ankle pulse wave velocity (baPWV) from wrist PPG and electrocardiography (ECG) from smart watch. Methods: A total of 914 wrist PPG and ECG sequences and 278 baPWV measurements were collected via the smart watch from 80 men and 82 women with average age of 63.4 ± 13.4 and 64.3 ± 11.6 years. Feature extraction and weighted pulse decomposition were applied to identify morphological characteristics regarding blood volume change and component waves in pre-processed PPG and ECG signals. A systematic strategy of feature combination was performed. The hierarchical regression method based on the random forest for classification and extreme gradient boosting (XGBoost) algorithms for regression was employed, which first classified the data into subdivisions. The respective regression model for the subdivision was constructed with an overlapping zone. Results: By using 914 sets of wrist PPG and ECG signals for baPWV estimation, the hierarchical regression model with 2 subdivisions and an overlapping zone of 400 cm/s achieved root mean square error (RMSE) of 145.0 cm/s and 141.4 cm/s for 24 men and 26 women, respectively, which is better than the general XGBoost regression model and the multivariable regression model (all P < 0.001). Conclusions: We for the first time demonstrated that baPWV could be reliably estimated by the wrist PPG and ECG signals measured by the wearable device. Whether our algorithm could be applied clinically needs further verification.

New JMIR BioMedEng: Estimation of Brachial-Ankle Pulse Wave Velocity With Hierarchical Regression Model From Wrist Photoplethysmography and Electrocardiographic Signals: Method Design #HealthTech #WearableDevices #Photoplethysmography #ECG #PulseWaveVelocity

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Pure Science

@purescience.news

7 months ago

Whoop MG review — A screenless fitness tracker for performance geeks The Whoop MG would be the best sleep and recovery tracker on the market if it were not for its flawed hardware and performance hiccups.

Whoop MG review — A screenless fitness tracker for performance geeks #Science #TechnologyandEngineering #FitnessTech #WearableDevices #PerformanceTracking

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Pure Science

@purescience.news

7 months ago

Best smart rings 2025 — Our top 3 sleep and fitness tracker rings, tried and tested These are the best smart rings you can buy in every category, from Oura Ring Gen 4 and Ultrahuman Ring AIR to Amazfit Helio.

Best smart rings 2025 — Our top 3 sleep and fitness tracker rings, tried and tested #Science #TechnologyandEngineering #SmartRings #HealthTech #WearableDevices

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@treasurez.bsky.social

8 months ago

From music to voice commands, smart glasses have you covered.
cutt.ly/1rDqUH7H
#SmartAudio #HandsFreeLife #WearableDevices #SmartTools

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Pure Tech

@puretech.news

8 months ago

I tried sleep coaching on Galaxy Watch 8. Here’s why you should too I've tested Samsung's sleep coaching and it's improved my sleep thanks to its incredible insights. Here's why you should test it too.

I tried sleep coaching on Galaxy Watch 8. Here’s why you should too #Technology #ConsumerTechnology #Wearables #SleepTech #GalaxyWatch8 #WearableDevices

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pharmaphorum

@pharmaphorum.bsky.social

8 months ago

Google wearable AI can 'learn the language of our bodies' Google unveils a new family of sensor–language foundation models that could underpin a new generation of smarter health wearables.

Tech giant #Google has developed a #new family of sensor–language #foundationmodels that could underpin a coming generation of #health and wellness #wearabledevices.

pharmaphorum.com/news/google-...

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ISBNPA

@isbnpa.bsky.social

8 months ago

New #IJBNPA methodology paper presents a novel statistical approach to analyse longitudinal #PhysicalActivity data, capturing temporal patterns often missed by traditional tools! #WearableDevices
Check this out👇
ijbnpa.biomedcentral.com/articles/10.1186/s12966-...

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JMIR Publications

@jmirpub.bsky.social

9 months ago

Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study Background: Declining medication adherence remains a critical healthcare issue, often assessed through unreliable self-reporting methods. Wearable devices (WDs) may offer an objective means to improve adherence monitoring by continuously recording physiological and activity data. Objective: This study aimed to develop and internally validate personalized predictive models for identifying missed medication doses using WD-derived data. Methods: A 30-day prospective observational study was conducted with 8 participants who wore Apple Watches and used a dedicated iOS application. The application collected demographics, medication details, psychological factors, mealtimes, and daily missed dose events. WDs recorded time-series data (activity, heart rate, sleep) at 3-minute intervals. Data were aggregated into 1-hour segments, and lag (6- and 12-hour) as well as rolling (24-hour) features were generated. Light Gradient Boosting Machine models were constructed for each individual’s dosing regimen if the missed dose rate exceeded 20%. Two modeling approaches were compared: a Group Cross-Validation (CV) model that grouped data by day to avoid data leakage from rolling features, and a Non-rolling Feature model that excluded rolling features and used leave-one-out CV. F1 score, accuracy, recall, and precision were assessed. Results: Of the 15 enrolled participants, 8 completed the study; 4 had a missed dose rate above 20%. In these 4 individuals, the Group CV model achieved F1 scores of 0.435 to 0.902, accuracy ranging from 0.711 to 0.911, recall from 0.278 to 0.822, and precision of 1.000 for the most robust regimens. The Non-rolling Feature model yielded F1 scores of 0.667 to 0.910, accuracy ranging from 0.800 to 0.906, recall from 0.500 to 0.835, and precision of 1.000. Morning dosing regimens generally showed higher predictive performance than evening or afternoon. Time-series features, particularly those reflecting 6-, 12-, and 24-hour patterns, emerged as key predictors, indicating that physiological and lifestyle variations prior to dosing strongly influenced missed dose events. Conclusions: Personalized predictive models using WD-derived data demonstrated high precision for detecting missed medication doses, especially in morning and evening regimens. These findings underscore the #feasibility of employing objective physiological and activity data to forecast nonadherence and highlight the role of lifestyle patterns in determining missed doses. Future work should involve larger populations for external validation, strategies to improve recall—especially for clinically critical medications—and careful consideration of real-world implementation challenges.

JMIR Formative Res: Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study #MedicationAdherence #WearableDevices #HealthTech #PredictiveAnalytics #DigitalHealth

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Marketingino.com Magazine | The Playbook for Modern Leaders

@marketingino.com

9 months ago

The Rise of Numbers in Holistic Health: Wearable Devices Pave the Way In an era where personalized well-being takes center stage, wearable devices are revolutionizing how individuals approach holistic health. No longer just fancy gadgets for fitness enthusiasts, these smart technologies are becoming integral tools for monitoring, managing, and proactively enhancing various aspects of health, from physical activity and sleep to stress levels and even early disease detection. This surge in adoption is not only transforming individual wellness journeys but is also creating significant ripples across e-commerce and marketing landscapes. The Holistic Shift: Beyond Steps and Calories The concept of holistic health emphasizes the interconnectedness of mind, body, and spirit.

🛒 Marketers, listen up! #WearableDevices are reshaping the wellness landscape. Learn how the 60% online market share is driving new e-commerce strategies & why personalized health data is key.
#DigitalMarketing #HealthMarketing

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Pure Science

@purescience.news

9 months ago

New menstrual pad device tracks period blood for signs of disease Scientists are developing a new device that fits inside a menstrual pad and checks for

New menstrual pad device tracks period blood for signs of disease #Science #HealthandMedicine #MedicalTechnology #MenstrualHealth #HealthTech #WearableDevices

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@healthdivine.bsky.social

10 months ago

Hi-Tech Medical Devices Market Size, Growth Report 2035 Hi-Tech Medical Devices Market projected to grow at 3.58% CAGR, reaching USD 650.0 Billion by 2035. Top company industry analysis driving growth, trends, regions, opportunity, and global outlook 202...

🤖 The future is now! 💡 The Hi-Tech Medical Devices Market is booming with wearable health, AI, and precision care. 🚀
#HealthTech #WearableDevices #DigitalHealth #SmartHealthcare #MedTechRevolution

www.marketresearchfuture.com/reports/hi-t...