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.
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.
Bachelors of Engineering in Biomedical Engineering, Masters of Engineering Management - Dartmouth College
Bachelors of Engineering in Electrical and Mechanical Engineering - Dartmouth College
Masters of Public Health, Masters of Bioinformatics, PhD in Health Policy and Clinical Practice - Dartmouth College
Associate Professor of Medicine, University of North Carolina
Associate Professor of Engineering, Dartmouth College
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.