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IEC 80601-2-78 ED2 Medical electrical equipment - Part 2-78
IEC 80601-2-78 ED2 Medical electrical equipment - Part 2-78: Particular requirements for basic safety and essential performance of medical robots for rehabilitation, assessment, compensation or alleviation.
In the medium term, IEC 80601‑2‑78 Ed.2 will serve as the basis for a corresponding European standard that can be harmonised under the MDR. This will support European SMEs by providing a recognised and authoritative framework for demonstrating conformity. As a result, companies can reduce the time and cost associated with regulatory approval, improve the quality and consistency of their technical documentation, and accelerate their access to the European market
Burkhard Zimmermann
Leading IEC SC62 D JWG 36 and support IEC SC62A JWG 9 as an expert
Jan Veneman
Overall, these initiatives close critical gaps for European SMEs by clarifying expectations around robotic and AI-enabled rehabilitation devices, helping them accelerate safe market access, contain compliance costs, and remain competitive across EU and global markets.
are essential - not only to protect patients and clinicians, but also to give manufacturers and providers the confidence to deploy these technologies responsibly. By codifying “state-of the-art” expectations, the standards framework enables innovation while safeguarding users.
Societal benefits enabled by robust standards include:
Patient safety and dignity: Defined limits, fail-safe behaviours, and human–robot interaction requirements reduce the risk of harm and ensure predictable performance in rehabilitation settings.
Healthcare access: Standardised safety/performance criteria help scale high-quality therapy beyond specialised centres, supporting adoption in regional hospitals and community care.
Clinician support and quality of care: Reliable, well-tested systems can deliver high-dose, repeatable training while reducing therapist physical strain, freeing time for complex clinical tasks.
Public trust and uptake: Transparent, consensus-based requirements underpin procurement, reimbursement, and clinical guidelines—building societal confidence in robotic care.
Innovation with accountability: Clear targets shorten development cycles, lower compliance ambiguity for SMEs, and focus competition on outcomes and usability rather than ad-hoc safety interpretations.
The degree-of-autonomy guidance further generalises these protections to any medical product using robotic or AI technologies. By providing a common language for autonomy levels and the associated safety controls and human oversight, it supports ethically aligned, trustworthy deployment of AI-enabled medical devices across care pathways, from clinics to homes.
User’s Quality of Experience (QoE) on Multimedia Conferencing Services - Part 1: General
This Technical Report describes general considerations to be taken for measurement of user’s Quality of Experience (QoE) on multimedia conferencing services.
IEC PAS 63088. (2017). Smart Manufacturing – Reference Architecture Model Industry 4.0 (RAMI4.0). V1.0
Information technology — Sensor networks: Sensor Network Reference Architecture (SNRA) — Part 3: Reference architecture views
ISO/IEC 29182-3:2014 provides Sensor Network Reference Architecture (SNRA) views. The architecture views include business, operational, systems, and technical perspectives, and these views are presented in functional, logical, and/or physical views where applicable. ISO/IEC 29182-3:2014 focuses on high-level architecture views which can be further developed by system developers and implementers for specific applications and services.