2025· Journal of Frontiers in Multidisciplinary Research· Vol 6, pp. 598-602· 0 citations
TL;DR
This work proposes a clinical engineering framework for AI-driven home-based neurorehabilitation grounded in SEIPS 2.0 sociotechnical principles and specifies deployment constraints for rural cohorts including a bandwidth-tiered profile and a polytrauma-compatible cognitive guardrail.
Abstract
The therapeutic cliff, defined as the steep drop in rehabilitation intensity once a patient leaves inpatient care, is a documented driver of poor functional recovery after stroke and traumatic brain injury. For rural veterans, distance to specialised care, broadband disparity, and fragmented access amplify the drop. We propose a clinical engineering framework for AI-driven home-based neurorehabilitation grounded in SEIPS 2.0 sociotechnical principles. The framework integrates a wearable inertial measurement layer, an artificial intelligence exercise-quality and dose-tracking layer, a fall-prediction subsystem, a caregiver interface layer, and a Veterans Health Administration Care Coordination Home Telehealth integration layer. We synthesise eighteen peer-reviewed sources, map architecture components to validated evidence, and specify deployment constraints for rural cohorts including a bandwidth-tiered profile and a polytrauma-compatible cognitive guardrail. Validation pathways and policy implications for telerehabilitation reimbursement parity are outlined.
Background Current neurorehabilitation often relies on static, diagnosis-driven protocols or generic exercise administration, contributing to suboptimal long-term outcomes. There is a clinical need for a cohesive, mechanism-based framework to guide therapeutic reasoning, dosing, and longitudinal adaptation. Methods A s...
Ahmad Rifai Sarraj, Jihan Allaw, Fadi Zein El Abidin et al.· NeuroRehabilitation (Reading...· 0 citations
INTRODUCTION
Millions of stroke survivors in the US have sensory-motor impairments that significantly impact quality of life and place a long-term burden on families, communities, and the healthcare system. Neurorehabilitation aims to improve function, typically through repetitive practice of movements and task-related...
Russell Jeter, Steven L. Wolf, S. N. Housley· Neurorehabilitation and Neur...· 0 citations
OBJECTIVE
Convergent evidence indicates that high-dose, high-intensity rehabilitation (HDHI) improves outcomes beyond usual care after stroke, yet implementation remains limited. While questions of optimal dose, timing, and delivery format continue to be refined, the biological plausibility and clinical rationale for H...
M. Branscheidt, W. Mahmoud, Christoph Bauer et al.· International Journal of Str...· 0 citations
Neurological disorders—led by ischemic and hemorrhagic stroke, traumatic brain injury (TBI), spinal cord injury (SCI), and neurodegenerative conditions such as Parkinson’s disease and multiple sclerosis—represent a foremost contributor to global disease burden, long-term functional disability, and socioeconomic strain....
Radosław Swędrak, Zuzanna Dobrakowska, Jakub Klepacz· International Journal of Inn...· 0 citations
Home-based stroke rehabilitation often suffers from low adherence due to usability barriers and a lack of engaging, trustworthy tools. mRehab addresses these challenges by pairing a smartphone application with 3D-printed functional objects, enabling post-stroke survivors to practice task-oriented, upper-limb activities...
Emily Liu, Kritarth Dandapat, Tanmay Anishkumar Master et al.· Proceedings of the 4th Inter...· 0 citations
Background: Wearable sensing and local wireless communication architectures offer significant potential for accessible rehabilitation technologies. The objective of this exploratory study was to design, implement, and describe an interdisciplinary, wireless inertial sensing platform—the Virtual Therapist Platform (VTP)...
