Wearables & Remote Monitoring
Patches, wearables, home monitoring and hospital-at-home hardware. 13 companies listed.
Developing Maternal aRMOR, a wrist worn monitor that uses laser and camera sensing of red blood cell flow to detect postpartum hemorrhage. Won the MedTech Innovator 2025 grand prize.
Biobeat makes a chest-worn patch that measures blood pressure and other vitals without a cuff, cleared for 24-hour ambulatory monitoring.
Builds a chest-worn cardiac sensor and AI software that noninvasively estimate hemodynamic pressures for heart failure management.
CoMind is developing CoMind One, a non-invasive optical monitor for cerebral blood flow, autoregulation and intracranial pressure in critical care.
Runs a platform that inventories connected medical and IoT devices on hospital networks, then tracks their vulnerabilities, flags threats and supports network segmentation. Customers include RWJBarnabas Health and several NHS trusts.
Makes HeartWatch, a wearable for continuous at home heart monitoring with an emergency contact function.
Makes a wireless patch for continuous breathing monitoring, first aimed at patient safety during procedural sedation.
Makes Nidra, a pair of wearable units that stimulate the peroneal nerves to reduce symptoms of moderate to severe restless legs syndrome in adults whose medication has stopped working. Resmed acquired the company in June 2026.
Pulsenmore makes a smartphone cradle that lets pregnant women perform ultrasound scans at home for remote reading by clinicians. It is listed on the Tel Aviv Stock Exchange.
Builds Sylvee, a wearable chest sensor that uses acoustic resonance to measure trapped air and lung volumes at home for people with COPD. Won MedTech Innovator in 2024.
Makes DripAssist, a low cost monitor and alarm that measures the rate of gravity fed IV fluid and blood transfusions without an infusion pump.
Makes an adhesive sensor that monitors blood pressure continuously, validated first in operating room settings.
Makes a wearable headband that uses EEG sensors and machine learning to detect a stroke as it starts and alert emergency services.
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