Biosymbiotic platform for chronic long-range monitoring of biosignals in limited resource settings.
Tucker StuartMax FarleyJulia AmatoRyan ThienJessica HannaAman BhatiaDavid Marshall ClausenPhilipp GutrufPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
Remote patient monitoring is a critical component of digital medicine, and the COVID-19 pandemic has further highlighted its importance. Wearable sensors aimed at noninvasive extraction and transmission of high-fidelity physiological data provide an avenue toward at-home diagnostics and therapeutics; however, the infrastructure requirements for such devices limit their use to areas with well-established connectivity. This accentuates the socioeconomic and geopolitical gap in digital health technology and points toward a need to provide access in areas that have limited resources. Low-power wide area network (LPWAN) protocols, such as LoRa, may provide an avenue toward connectivity in these settings; however, there has been limited work on realizing wearable devices with this functionality because of power and electromagnetic constraints. In this work, we introduce wearables with electromagnetic, electronic, and mechanical features provided by a biosymbiotic platform to realize high-fidelity biosignals transmission of 15 miles without the need for satellite infrastructure. The platform implements wireless power transfer for interaction-free recharging, enabling long-term and uninterrupted use over weeks without the need for the user to interact with the devices. This work presents demonstration of a continuously wearable device with this long-range capability that has the potential to serve resource-constrained and remote areas, providing equitable access to digital health.
Keyphrases
- healthcare
- high throughput
- public health
- heart rate
- resting state
- mental health
- high frequency
- functional connectivity
- health information
- human health
- white matter
- small molecule
- low cost
- case report
- electronic health record
- big data
- blood pressure
- multiple sclerosis
- social media
- direct oral anticoagulants
- data analysis
- gestational age
- drug induced
- machine learning