Mission

ACQUISITION OF HOME-BASED HEALTHCARE DATA

Remotely acquired healthcare data provides insights to patients and healthcare providers that can have monumental impacts on the quality of care. SynchroHealth, LLC aims to develop hardware and software solutions for non-invasive detection and acquisition of remote healthcare data using Bluetooth Low Energy-enabled (BLE) technologies. 

About Us

We are an early-stage small business formed by

researchers and engineers at Dartmouth and The University of North Carolina at Chapel Hill. Our multidisciplinary team places emphasis on the development of technologies for the remote monitoring of at-risk older adults.

Team

Sue Mohieldin

Bachelors of Engineering in Electrical and Mechanical Engineering - Dartmouth College

Curtis Petersen

Masters of Public Health, Masters of Bioinformatics, PhD in Health Policy and Clinical Practice - Dartmouth College

Ryan Halter

Associate Professor of Engineering, Dartmouth College

John Batsis

Associate Professor of Medicine, University of North Carolina

Products

BandPass is a system capable of monitoring, evaluating, and guiding patients in upper body resistance strength training in real-time

Integrated potentiometric sensor equipped to an elastic exercise band with custom-designed electronics for control and wireless transmission of patient data to a corresponding application

With BandPass, we aim to provide clinically relevant data on compliance and use of exercise training with feedback that is personalized 

News & Publications

BandPass: A Bluetooth-Enabled Remote Monitoring Device for Sarcopenia 

Mohieldin S, Minor CM, Petersen CL, Batsis JA, Halter RJ. BandPass: A Bluetooth-Enabled Remote Monitoring Device for Sarcopenia. IEEE International Conference on Communications. 2021 June 14-23. WS-9: Workshop on Ageing Well and Living Healthy Enabling Technologies: Networking and Sensing. Under Review.

Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study

Petersen CL, Halter R, Kotz D, Loeb L, Cook S, Pidgeon D, Christensen BC, Batsis JA. Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study. JMIR Mhealth Uhealth. 2020 Aug 7;8(8):e16862. doi: 10.2196/16862. PMID: 32540843; PMCID: PMC7442942.

Detection and Monitoring of Repetitions Using an mHealth-Enabled Resistance Band

Petersen CL, Wechsler EV, Halter RJ, Boateng GG, Proctor PO, Kotz DF, Cook SB, Batsis JA. Detection and Monitoring of Repetitions Using an mHealth-Enabled Resistance Band. IEEE Int Conf Connect Health Appl Syst Eng Technol. 2018 Sep;2018:22-24. Epub 2019 Feb 25. PMID: 30984918; PMCID: PMC6456081.

Contact Us

info@SynchroHealth.io