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How does #wearabletech bring hope to Parkinson's patients?💭 Through its potential to… 🧠improve walking by aiding leg movement 🧠improve sleep and mental calmness 🧠reduce symptoms without surgery 🧠enhance understanding of movement dysfunction, leading to better outcomes for patients.     Find further info on the Medriva piece. #wearabledevice #roboticsengineering

Did you see the recent article in Modern Retina for Ophthalmology Times featuring IALVS as a source of information for Low Vision assistive devices? This is a great resource for your patients! #optometry #optometrist #lowvision

🚀 Exciting Innovation Alert! 🚀 Researchers have developed a groundbreaking adhesive device that allows individuals to speak without the use of their vocal cords. Utilizing artificial intelligence, this flexible device attached to the neck reads throat and larynx muscle movements, converting them into speech. This revolutionary technology offers a non-invasive communication tool for those unable to speak due to vocal fold issues. Not only does it detect throat movements, but it also generates electrical energy, eliminating the need for batteries. Published in Nature Communications, this device could transform communication for people with voice disorders or recovering from throat surgery. Stay tuned for more updates on this life-changing technology! https://lnkd.in/dEaKvYik?

Title: Wearable Medical Bandage for Predicting Diabetic Foot Ulcers Abstract: The development of a wearable medical device in the form of a bandage has been introduced to monitor temperature and pulsatile-blood-flow signals on the forefoot, aiming to predict diabetic foot ulcers at an early stage. This prototype bandage integrates a real-time data monitoring platform, enabling domestic usage for diabetic patients. The device simultaneously measures blood volumetric change and temperature variation in the forefoot area. The pulsatile-blood-flow signal waveform is analyzed to assess blood perfusion-related information for predicting ischemic ulcers, while temperature differences indicate neuropathic ulcers. The device, worn as a bandage, incorporates a sensory module placed within its hollow pocket. A mobile application platform allows doctors to access real-time data for early ulceration prediction. Findings: The study reveals significant differences in the pulsatile-blood-flow signal peaks between subjects with and without foot ischemic ulcers. The presence of ischemic ulcers correlates with flattened waveforms, indicating reduced blood perfusion to the forefoot tissue. Temperature difference data analysis demonstrates occasional exceedance of the 4°F range for subjects with neuropathic ulcers, while subjects without complications maintain narrower temperature ranges. Originality/Value: This wearable medical bandage prototype offers simultaneous monitoring of temperature and pulsatile-blood-flow signals on the forefoot, enabling prediction of both ischemic and neuropathic diabetic foot ulcers. The device's domestic usability, coupled with a real-time monitoring platform, presents an innovative approach for early ulceration detection without clinical assistance.

Orthopedics Trend #10: Wearables Coming of Age Wearable technology is extending beyond fitness tracking to play a significant role in patient rehabilitation, enhancing recovery processes. We will start to see real-time diagnostics with wearables and wearables used in clinical trial data collection. Don’t be surprised if Apple, MS, Google get into this space quickly. Explore 21 more trends redefining the orthopedics landscape here - https://lnkd.in/efNSUCTi

Comparison of continuous temperature measurement methods in the intensive care unit: standard bladder catheter measurements versus non-invasive transcutaneous sensors by KD Dr. med. Ulrike Ehlers, eMBA, MAS ASAE, Jens Ulmer, Urs Pietsch et al. from Kantonsspital St.Gallen 🇨🇭 https://lnkd.in/d3frhEcG 🌡️ Purpose: This study aimed to evaluate the efficacy of a wearable system for body core temperature measurement against traditional bladder and tympanic thermometers in an ICU environment, assessing if non-invasive continuous monitoring could serve as a viable alternative to standard invasive methods 🏥 Setting & Methods: Conducted between May and September 2023, at a 20-bed surgical ICU, this study involved 112 patients. Each participant was equipped with a greenTEG AG wireless sensor system attached at the clavicular and lateral chest positions, alongside standard bladder and intermittent tympanic temperature measurements. A total of 355 simultaneous readings were analyzed across a span of 6 hours to 6 days 📊 Results: Wearable Sensors vs. Bladder Temperature: The non-invasive sensors consistently showed a negative bias compared to bladder temperatures, with a mean absolute error (MAE) of 0.45°C for lateral chest and 0.50°C for clavicular positions. Impact of Body Mass Index (BMI): For patients with BMI ≥ 25, the MAE increased to 0.50°C (lateral chest) and 0.56°C (clavicular), suggesting body constitution significantly affects sensor accuracy. Tympanic vs. Wearable Measurements: Tympanic thermometers showed a lower MAE of 0.35°C, performing better than wearable sensors in most cases but were less favorable in higher BMI patients 🔍 Conclusion: While the wearable system did not meet the clinical criteria necessary for replacing invasive methods due to lower precision, its continuous and non-invasive nature offers a potential alternative to intermittent tympanic measurements. Particularly in certain patient groups, this method showed comparable precision to tympanic thermometers.

Innovative research combining Fitbit (now part of Google) bands and #AI is transforming predictive postoperative outcomes. An interdisciplinary research team led by Chenyang Lu at Washington University in St. Louis received the Distinguished Paper Award from the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT) for a study on predicting postoperative outcomes for pancreatic surgery patients using Fitbit bands. The team collaborated with 61 patients undergoing pancreatic cancer surgery at Barnes-Jewish Hospital and developed a powerful machine-learning model that achieved significantly higher predictive performance compared with the American College of Surgeons’ National Surgical Quality Improvement Program surgical risk calculator. https://lnkd.in/gwRnVqnZ

Fellows from Harvard University in Cambridge, MA, USA, are using opbox and opmux to drive innovation in the field of estimating joint torque in dynamic activities using wearable A-mode ultrasound. You can explore their groundbreaking work published in Nature Communications, Volume 15, Article Number 5756 (2024). Imagine the possibilities with opbox in your hands. Whether you're working on an innovative drone for at-height NDT inspections (https://lnkd.in/d-kvjv7w), or on the system for manual spot weld testing enhanced by AI software (https://lnkd.in/dp9DNhzb), material analysis, or any other high-tech application, opbox can elevate your projects to new heights. How will you use opbox (with opmux) to revolutionize your work? Let us help you unlock its full potential and achieve your goals. Contact us today to learn more and discover how we can support your success! #opbox #NDT #ultrasound #ultrasonic #pbpoptel More about.... Estimation of joint torque in dynamic activities using wearable A-mode ultrasound Yichu Jin, Jonathan T. Alvarez, Elizabeth L. Suitor, Krithika Swaminathan, Andrew Chin, Umut S. Civici, Richard W. Nuckols, Robert D. Howe & Conor J. Walsh Nature Communications volume 15, Article number: 5756 (2024) Abstract The human body constantly experiences mechanical loading. However, quantifying internal loads within the musculoskeletal system remains challenging, especially during unconstrained dynamic activities. Conventional measures are constrained to laboratory settings, and existing wearable approaches lack muscle specificity or validation during dynamic movement. Here, we present a strategy for estimating corresponding joint torque from muscles with different architectures during various dynamic activities using wearable A-mode ultrasound. We first introduce a method to track changes in muscle thickness using single-element ultrasonic transducers. We then estimate elbow and knee torque with errors less than 7.6% and coefficients of determination (R2) greater than 0.92 during controlled isokinetic contractions. Finally, we demonstrate wearable joint torque estimation during dynamic real-world tasks, including weightlifting, cycling, and both treadmill and outdoor locomotion. The capability to assess joint torque during unconstrained real-world activities can provide new insights into muscle function and movement biomechanics, with potential applications in injury prevention and rehabilitation. https://lnkd.in/dzgz-4mz

Fellows from Harvard University in Cambridge, MA, USA, are using opbox and opmux to drive innovation in the field of estimating joint torque in dynamic activities using wearable A-mode ultrasound. You can explore their groundbreaking work published in Nature Communications, Volume 15, Article Number 5756 (2024). Imagine the possibilities with opbox in your hands. Whether you're working on an innovative drone for at-height NDT inspections (https://lnkd.in/d-kvjv7w), or on the system for manual spot weld testing enhanced by AI software (https://lnkd.in/dp9DNhzb), material analysis, or any other high-tech application, opbox can elevate your projects to new heights. How will you use opbox (with opmux) to revolutionize your work? Let us help you unlock its full potential and achieve your goals. Contact us today to learn more and discover how we can support your success! #opbox #NDT #ultrasound #ultrasonic #pbpoptel More about.... Estimation of joint torque in dynamic activities using wearable A-mode ultrasound Yichu Jin, Jonathan T. Alvarez, Elizabeth L. Suitor, Krithika Swaminathan, Andrew Chin, Umut S. Civici, Richard W. Nuckols, Robert D. Howe & Conor J. Walsh Nature Communications volume 15, Article number: 5756 (2024) Abstract The human body constantly experiences mechanical loading. However, quantifying internal loads within the musculoskeletal system remains challenging, especially during unconstrained dynamic activities. Conventional measures are constrained to laboratory settings, and existing wearable approaches lack muscle specificity or validation during dynamic movement. Here, we present a strategy for estimating corresponding joint torque from muscles with different architectures during various dynamic activities using wearable A-mode ultrasound. We first introduce a method to track changes in muscle thickness using single-element ultrasonic transducers. We then estimate elbow and knee torque with errors less than 7.6% and coefficients of determination (R2) greater than 0.92 during controlled isokinetic contractions. Finally, we demonstrate wearable joint torque estimation during dynamic real-world tasks, including weightlifting, cycling, and both treadmill and outdoor locomotion. The capability to assess joint torque during unconstrained real-world activities can provide new insights into muscle function and movement biomechanics, with potential applications in injury prevention and rehabilitation. https://lnkd.in/dVPbGMzJ

I love my job! Fellows from Harvard University in Cambridge, MA, USA, are using opbox and opmux to drive innovation in the field of estimating joint torque in dynamic activities using wearable A-mode ultrasound. You can explore their groundbreaking work published in Nature Communications, Volume 15, Article Number 5756 (2024). Imagine the possibilities with opbox in your hands. Whether you're working on an innovative drone for at-height NDT inspections (https://lnkd.in/d-kvjv7w), or on the system for manual spot weld testing enhanced by AI software (https://lnkd.in/dp9DNhzb), material analysis, or any other high-tech application, opbox can elevate your projects to new heights. How will you use opbox (with opmux) to revolutionize your work? Let us help you unlock its full potential and achieve your goals. Contact us today to learn more and discover how we can support your success! #opbox #NDT #ultrasound #ultrasonic #pbpoptel More about.... Estimation of joint torque in dynamic activities using wearable A-mode ultrasound Yichu Jin, Jonathan T. Alvarez, Elizabeth L. Suitor, Krithika Swaminathan, Andrew Chin, Umut S. Civici, Richard W. Nuckols, Robert D. Howe & Conor J. Walsh  Nature Communications volume  15, Article number: 5756 (2024) Abstract The human body constantly experiences mechanical loading. However, quantifying internal loads within the musculoskeletal system remains challenging, especially during unconstrained dynamic activities. Conventional measures are constrained to laboratory settings, and existing wearable approaches lack muscle specificity or validation during dynamic movement. Here, we present a strategy for estimating corresponding joint torque from muscles with different architectures during various dynamic activities using wearable A-mode ultrasound. We first introduce a method to track changes in muscle thickness using single-element ultrasonic transducers. We then estimate elbow and knee torque with errors less than 7.6% and coefficients of determination (R2) greater than 0.92 during controlled isokinetic contractions. Finally, we demonstrate wearable joint torque estimation during dynamic real-world tasks, including weightlifting, cycling, and both treadmill and outdoor locomotion. The capability to assess joint torque during unconstrained real-world activities can provide new insights into muscle function and movement biomechanics, with potential applications in injury prevention and rehabilitation. https://lnkd.in/dVfdkEpB