Vol. 10 No. 3 (2019): IJPHM Special Issue on PHM for Human Health & Performance

The International Journal of Prognostics and Health Management (IJPHM) is the premier online open access journal related to multidisciplinary research on Prognostics, Diagnostics, and System Health Management. This special issue is focused on the development, implementation, and evolution of standards, guidelines, and best practices relevant to condition monitoring, diagnostic, and prognostic technologies across a range of operational domains.

Having its origin in aerospace, predictive health management (PHM) most recently has broken ground in the fields of wearable smart sensors, sensor-data-fusion, machine learning and data mining, prediction and diagnosis, and electronic health records and databases - all in the context of prognostics and health management for human health and performance on Earth and in Space.

PHM's current and envisioned applications are within general healthcare, sports/athletes, theatre, space, and other extreme environments along with how the needs, data stream, and supporting PHM tools, can be better designed, developed, implemented, integrated, verified, and validated to impact smart healthcare. More specifically, biofeedback-controlled devices are looming on the horizon of smart healthcare. These devices integrate wearable sensors, bi-directional data exchange, cloud-based data analysis, health and disease status modeling and prediction, and prescribed intervention/treatment onto human smart service platforms. From an end-user perspective, usability, wearability, and appearance are key design factors. From a technology point of view, high data accuracy and fidelity (i.e., medical-grade data), real-time bi-directional healthcare data streaming, real-time data analysis and understanding, and health status prediction (i.e., PHM) are critical components to create successful biofeedback-based products. Biofeedback-controlled human smart service systems have the potential to improve health and treatment outcome, with a significant savings potential in healthcare costs to patients, health insurers, and economies at large.

Published: 2019-12-01

Technical Papers

Long-Term Modeling and Monitoring of Neuromusculoskeletal System Performance Using Tattoo-Like EMG Sensors

Kaiwen Yang, Luke Nicolini, Irene Kuang, Nanshu Lu, Dragan Djurdjanovic
Abstract 462 | PDF Downloads 228 | DOI https://doi.org/10.36001/ijphm.2019.v10i3.2705

Design of an Affordable Socially Assistive Robot for Remote Health and Function Monitoring and Prognostication

Michelle J Johnson, Michael J. Sobrepera, Enri Kina, Rochelle Mendonca
Abstract 338 | PDF Downloads 182 | DOI https://doi.org/10.36001/ijphm.2019.v10i3.2706

Dynamic Behavior of Cortisol and Cortisol Metabolites in Human Eccrine Sweat

J. Ray Runyon, Min Jia, Michael R. Goldstein, Perry Skeath, Leif Abrell, Jon Chorover, Esther M. Sternberg
Abstract 229 | PDF Downloads 184 | DOI https://doi.org/10.36001/ijphm.2019.v10i3.2707

Alarm device for self-tracking of progression during wrist rehabilitation

Mritha Ramalingam, Elanchezhian Chinnavan, Nur Syamimi Binti Jasmi, Goh Mei Xin, Yuvaneswary Santhiresegar
Abstract 259 | PDF Downloads 215 | DOI https://doi.org/10.36001/ijphm.2019.v10i3.2708

Technical Briefs