Science Blog

The US and international effort to address the novel Coronavirus (COVID-19) pandemic is unprecedented. Experts from healthcare, public health, and policy are joining forces with experts in manufacturing and technology for the rapid deployment of innovative, lifesaving solutions. VivoSense, an expert in remote monitoring of physiological signals, is contributing to this effort through their advanced data analytics and Human Augmented AI platform.

The pace, pressures, work-life balance, and emotional aspects of a physician’s job put them at risk for burnout. A study by the American Medical Association and Mayo Clinic found that burnout rates were particularly increased for specialty practitioners. Drs. Nicholas Slamon and Rob Parker, pediatric ICU physicians at Nemours/Alfred I. duPont Hospital for Children in Wilmington, DE, used VivoSense^® and real-time biometrics of physician stress to study its effects on the care of pediatric patients.

San Diego State University’s Clinical Psychology research group and the Drexel University WELL Center joined forces using VivoSense^® to investigate Heart Rate Variability (HRV) and its link to obesity, binge eating, and loss of control while eating. Specifically, the study examined the association between HRV and binge eating and change in HRV from a resting to a stressed task as a potential marker of emotional regulation capacity in obese individuals.

Here’s an example of how a clinical research team studying stuttering respiratory patterns and other biosignals used VivoSense® software to integrate a multitude of wearable physiological sensor data, manage signal artifacts and produce robust data analysis.

Scientists are increasingly relying on wearable sensors and machine learning to develop digital biomarkers. However, their successful development requires the identification of physiological events relevant to the disease state. Here's an overview of the method we use to accurately and efficiently label physiological events from biosignals collected from wearable sensors.

Health scientists at Hofstra University, NY, aim to uncover how resistance training with either a focus on intensity or volume increases muscle innervation, adaption and firing rates. These studies provide a greater understanding of how resistance training augments muscle activation and motor unit recruitment in trained individuals. This research has a broad range of applications, as we increasingly see the use of strength training in preventative healthcare and rehabilitation medicine.

The practice of medicine and medical research is undergoing a rapid digital revolution transforming healthcare into a science of data analytics. The term Digital Health has entered the lexicon as we increasingly understand and describe medicine in terms of data generated by wearable physiological sensors, genetic sequencing and medical imaging. Rock Health, a venture fund dedicated to the founding and growth of Digital Health companies, recently published a report on the data driven transformation of healthcare, in particular highlighting the urgent need to develop digital biomarkers. Digital biomarkers are the medical signal or signatures contained in the vast data sets generated by the ever increasing use of leading edge medical technologies.

Researchers at the Swiss Federal Institute of Sport Magglingen used VivoSense® Software to study the link between physical activity and its ability to improve resistance to psychosocial stress.

Roche’s Firefish clinical trial will evaluate drug efficacy against respiratory muscle function and breathing patterns in infants treated for SMA.

Orange County, CA, January, 2017 – Vivonoetics Inc., developer of VivoSense® respiratory testing solutions, announced today that in partnership with Great Lakes NeuroTechnologies, they will be providing advanced respiratory assessment to the Roche FIREFISH study.

In one of the largest studies of active duty combat troops ever conducted Heart Rate Variability (HRV) has been shown to be lowered in post-traumatic stress disorder, PTSD.