Moticon AG’s Post

Bluetooth in medical devices: Ready for critical care? Last week, I attended the Austrian Society for Biomedical Engineering - ÖGBMT biomedical conference to speak about our reliable Bluetooth capabilities at DEWINE Labs. I spoke to multiple people who plan to use or already use Bluetooth Low Energy (BLE) in their medical devices. The applications range from physiotherapy devices over back and spine protectors to cardiology equipment. Although I have already helped some projects in the more-or-less medical domain, I have limited experience with health-critical devices and their BLE support. - Abbott, Medtronic, Boston Scientific, and others use BLE for their pacemakers.  - Infineon Technologies and others build BLE chips for medical wearables. It would be interesting to transfer our reliable BLE from our typical industrial use cases to safety-critical medical care. I wonder: Are there specific challenges for BLE applications in safety-critical medical domains that need to be solved? What is your experience with that? Let me know in the comments.

As we hit the #RoadToEurope we’re showcasing the innovators from around the globe who are selected to present at #LSIEurope24. Today we’re showcasing 3 innovators in Spain selected to present at LSI Europe ‘24 in Portugal: 1. Juan Alcantara — Nuubo → Simplifying the remote monitoring of physiological parameters through a non-intrusive wearable device. The company designs, manufactures and sells a portfolio of innovative wearable wireless medical technologies for prevention, diagnosis, and rehabilitation. 2. Kirill Lopatin — xAID → Develops an end-to-end radiology solution that utilizes artificial intelligence to automate scans, report writing, and patient management. The solution analyzes CT and MRI images to accelerate review and detection of potential pathologies, synthesizes findings and documents them in the EHR, and then reminds patients of follow-up visits. 3. Pau Rodríguez — Methinks AI → Focused on stroke, the second most common cause of death and a major cause of disability globally. Its AI software, Methinks Stroke Suite, is capable of assisting in stroke triage and providing decision support for life-saving treatment using the simplest medical imaging (non-contrast CT), with the potential to optimize stroke triage and reduce time to treatment. We look forward to seeing these innovators take the stage this September 16th - 20th in Portugal. Want to see what other innovators are presenting at LSI Europe ‘24? Head over to our website to see the first 100+ innovators selected to present.

#Review Cost-Effective Fiber Optic Solutions for Biosensing by Cátia Leitão, Sónia O. Pereira, Carlos Marques, Nunzio Cennamo, Luigi Zeni, Madina Shaimerdenova, Takhmina Ayupova and Daniele Tosi https://lnkd.in/epH4dW3z MDPI Universidade de Aveiro University of Campania "Luigi Vanvitelli" Nazarbayev University #POCmonitoring #smartphoneopticalbiosensors #opticalinterrogationmethods #cancerbiomarkers #cardiovascularbiomarkers #openaccess #Abstract In the last years, optical fiber sensors have proven to be a reliable and versatile biosensing tool. Optical fiber biosensors (OFBs) are analytical devices that use optical fibers as transducers, with the advantages of being easily coated and biofunctionalized, allowing the monitorization of all functionalization and detection in real-time, as well as being small in size and geometrically flexible, thus allowing device miniaturization and portability for point-of-care (POC) testing. Knowing the potential of such biosensing tools, this paper reviews the reported OFBs which are, at the moment, the most cost-effective. Different fiber configurations are highlighted, namely, end-face reflected, unclad, D- and U-shaped, tips, ball resonators, tapered, light-diffusing, and specialty fibers. Packaging techniques to enhance OFBs’ application in the medical field, namely for implementing in subcutaneous, percutaneous, and endoscopic operations as well as in wearable structures, are presented and discussed. Interrogation approaches of OFBs using smartphones’ hardware are a great way to obtain cost-effective sensing approaches. In this review paper, different architectures of such interrogation methods and their respective applications are presented. Finally, the application of OFBs in monitoring three crucial fields of human life and wellbeing are reported: detection of cancer biomarkers, detection of cardiovascular biomarkers, and environmental monitoring.

In a recent study conducted by the University of Glasgow, researchers tested the new, FDA-cleared Sensinel™ Cardiopulmonary Management (CPM) System from Analog Devices. Their focus? Early detection of fluid overload – a critical factor in heart failure progression.   Unlike invasive methods, this non-invasive wearable uses multiple sensors to measure physiological parameters. Imagine patients slipping it on for 3-5 minutes per application – a small commitment with potentially life-changing results.   The research found that the Sensinel CPM System accurately detected fluid changes in heart failure patients admitted for fluid removal. By catching signs of fluid overload early, it could help prevent costly hospital admissions. Learn more: https://ow.ly/gKal50REIf0

Check our recent publications in three esteemed journals. In this Medium Q&A (https://lnkd.in/e-S_BtrY), I explore how our innovations are shaping the future of MRI technology, blending comfort, precision, and affordability in medical imaging. Recent Publications: [1]. Wireless, customizable coaxially shielded coils for magnetic resonance imaging, Science Advances (https://lnkd.in/eCHiJhV2) [2]. Wearable coaxially-shielded metamaterial for magnetic resonance imaging, Advanced Materials (https://lnkd.in/eQT7XnJk) [3]. Computational-design enabled wearable and tunable metamaterials via freeform auxetics for magnetic resonance imaging, Advanced Science (https://lnkd.in/e8dB9f4V) (Left Image Below): Various form-fitting coils are positioned on the MRI bed, designed to closely conform to diverse anatomical sites, enhancing MRI performance wirelessly and passively.  (Top Right Image Below): The thin, lightweight, and flexible metamaterial enables a comfortable MRI experience without physical constraints. (Low Right Image Below): A man wears a highly compact and lightweight coil, meticulously crafted to enhance MRI finger imaging wirelessly and passively.

Innovative Breakthrough in Chronic Wound Care Researchers at the California Institute of Technology (Caltech) have introduced a groundbreaking wearable bioelectronic system designed for monitoring and treating chronic wounds. This advanced device merges metabolic and inflammatory monitoring with non-invasive therapy options, such as antimicrobial treatment and electrically stimulated tissue regeneration, directly onto the skin. It represents a significant advancement in personalized wound management, ensuring comfort and efficiency for users. In preclinical in vivo experiments, the device proved its capability to accurately evaluate the condition of chronic wounds and to speed up the healing processes in rodent models, showcasing great promise for human healthcare applications. This innovation opens new paths for managing chronic wounds, offering insights into a future filled with integrated healthcare solutions aimed at enhancing patient outcomes and improving the quality of life for millions suffering from chronic wounds. 🌟👩⚕️🏥 Reference: Ehsan Shirzaei Sani et al. ,A stretchable wireless wearable bioelectronic system for multiplexed monitoring and combination treatment of infected chronic wounds.Sci. Adv.9,eadf7388(2023).DOI:10.1126/sciadv.adf7388 #biomedicalengineering #upf #upfcomunicació #engineering #pompeufabra #bioengineering #technews

Notable advances are happening in the field of wearables for healthcare and HCI !!! This research is a good start for my day !!!

This Nature Electronics article presents a single-element-transducer-based wearable ultrasound system and its application in health monitoring and human-machine interface. Although the single-element structure is simple, the signals contain rich information about deep tissues. Previously, we mainly used single-element-transducer signals for basic health monitoring, such as observing arterial pulses and changes in diaphragm thickness. Now, with artificial intelligence, we can extract complex information from these signals to enable precise human-machine interaction: our results show that the single-element-transducer signal can accurately predict the bending angles of all finger and wrist joints in one hand! The lead authors of this article are Xiaoxiang Gao, Xiangjun Chen, Muyang Lin, and Wentong Yue. This work was in strong collaboration with Dr. Jinghong Li and Joe Wang. We are deeply grateful for the support provided by The National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering (NIBIB), UC San Diego, UC San Diego Jacobs School of Engineering, and UC San Diego School of Medicine.