We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Smart T-Shirt Monitors Vital Signs Remotely

By HospiMedica International staff writers
Posted on 13 May 2020
A medical-grade T-shirt can trigger alerts to healthcare professionals when detecting changes in a patient's health.

The Chronolife (Paris, France) KeeSense remote platform monitoring (RPM) T-shirt is a multi-sensor wearable device that monitors electrocardiography (ECG), thoracic and abdominal respiration, skin temperature, thoracic impedance, and physical activity, to enable continuous remote tracking of vital clinical data in patients with chronic diseases, including prediction of acute pathological episodes. More...
The RPM platform uses the Hierarchy Of event-based Time Surfaces (HOTS) neuromorphic algorithm, which analyzes several data flows continuously. It also enable researchers to pursue real-world physiological data and run more robust and efficient therapeutic efficiency programs and clinical trials.

The KeeSense T-shirt transmits data to a paired smartphone app via Bluetooth, which then sends the data to a secure and certified server for live or time-delayed analysis by the wearer's healthcare team. The multi-parametric medical data enables researchers and healthcare teams to develop meaningful insights into a patients' long-term health, while also allowing prompt responses to medical emergencies. The T-shirt is designed for comfortable continuous use, and blends in unobtrusively and seamlessly with daily life. It is also fully reusable and washable.

“Chronolife is now well-positioned for partnerships with a wide range of telemedicine services and telehealth providers to innovate and deliver end-to-end, continuous RPM programs,” said Laurent Vandebrouck, CEO of Chronolife. “This will not only improve outcomes for patients with conditions that require constant monitoring, such as cardiovascular dysfunctions and respiratory illnesses, but also reduce hospital readmissions and help alleviate the ongoing shortage of healthcare resources and staff.”

The use of wearable RPM devices that allow constant monitoring of physiological signals is becoming essential for the advancement of both the diagnosis and treatment of diseases. Wearable systems allow physicians to overcome the limitations of technology and provide a response to the need for monitoring individuals over weeks or months. The data sets recorded using these systems are then processed to detect events predictive of possible worsening of the patient’s clinical situations, as well as assess the impact of clinical interventions.

Related Links:
Chronolife


Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Immobilization System
Cranial 4Pi Immobilization
Digital Radiography System (Ceiling Free)
Digix CF Series
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Surgical Techniques

view channel
Image: The thin foetoscope is guided through the abdominal wall to the placenta. Small magnets in its tip react to an externally generated magnetic field, enabling the instrument to be bent with precision. The robotic platform is designed to occlude shared blood vessels in the placenta of twins with twin-to-twin transfusion syndrome. (Image Credit: created with BioRender.com, ETH Zurich)

Robotic Platform Advances Fetoscopic Treatment of Twin-to-Twin Transfusion Syndrome

Twin-to-twin transfusion syndrome is a life-threatening complication in monochorionic twin pregnancies caused by unbalanced placental blood flow. Definitive treatment requires endoscopic laser coagulation... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.