Home ›
Entities
› academia
› Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery
Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery
Research article (2017 International Conference on Rehabilitation Robotics (ICORR), 2017) · cited 39× · AI/ML
Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery
Summary
Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery is a scholarly article[1].
Key Facts
Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery. Retrieved May 24, 2026, from https://4ort.xyz/entity/wearable-sensing-for-rehabilitation-after-stroke-bimanual-jerk-asymmetry-encodes-unique-information-about-the-variabilit
MLA“Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wearable-sensing-for-rehabilitation-after-stroke-bimanual-jerk-asymmetry-encodes-unique-information-about-the-variabilit.
BibTeX@misc{4ortxyz_wearable-sensing-for-rehabilitation-after-stroke-bimanual-jerk-asymmetry-encodes-unique-information-about-the-variabilit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery}}, year = {2026}, url = {https://4ort.xyz/entity/wearable-sensing-for-rehabilitation-after-stroke-bimanual-jerk-asymmetry-encodes-unique-information-about-the-variabilit}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery — https://4ort.xyz/entity/wearable-sensing-for-rehabilitation-after-stroke-bimanual-jerk-asymmetry-encodes-unique-information-about-the-variabilit (retrieved 2026-05-24)
