{ "id": "AIBD-0050", "title": "Coapt pattern-recognition myoelectric prostheses attached to transulnar osseointegration implants restore daily-living control in two patients", "summary": "Two transulnar amputees given Coapt pattern-recognition prostheses on osseointegration implants regained activities of daily living.", "date_observed": "2021-12-15", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "A JBJS Case Connector report published 15 December 2021 (Jaime, Reif, Kafedzic, Garrison, Dhawan and Rozbruch) describes two people with traumatic transulnar amputations. Both underwent osseointegration implantation. After surgery a myoelectric prosthesis fitted with Coapt pattern-recognition software was attached directly to the implant. The software classifies electromyographic (EMG) signal patterns to drive a multiarticulating hand and wrist. Both trained with the software. At the most recent follow-ups of 18 months and 2 years the implants showed no loosening. The authors state that prosthetic control gradually improved to allow activities of daily living. Surgery dates are not given in the abstract.", "category": "benefit created", "unexpected": false, "purpose": "Pattern-recognition control of a multiarticulating myoelectric hand and wrist for people with upper-limb amputation", "system": "Coapt pattern recognition myoelectric control (Coapt, Chicago, IL) on a multiarticulating hand and wrist", "model_version": null, "developer": "Coapt LLC", "deployer": "Hospital for Special Surgery, New York (Department of Limb Lengthening and Complex Reconstruction; the affiliation is given for the first author)", "location": "New York, New York, United States", "domain": "Rehabilitation medicine / upper-limb prosthetics", "segment": "Amputee prosthetic care", "benefit_type": "Improved Accessibility", "taxonomy_note": null, "registry_ids": {}, "ratings": [ { "group": "personal", "depth": 2, "reason": "Two identifiable patients gained prosthetic control enough for daily living activities, documented at 18-month and 2-year follow-up. The abstract has no validated functional scores, so life-changing is unsupported." }, { "group": "societal", "depth": 1, "reason": "A two-patient case report demonstrating feasibility of combining osseointegration with pattern-recognition control; no population-level effect shown." } ], "ai_role": { "status": "assessed", "statement": "The Coapt software is a machine-learning pattern-recognition controller that maps electromyographic patterns to hand and wrist motions. The report attributes improved control to training with this software on an osseointegrated attachment. So the AI contribution is entangled with the surgical attachment and cannot be isolated." }, "evidence": [ { "kind": "case report", "citation": "Jaime KM, Reif TJ, Kafedzic H, Garrison G, Dhawan J, Rozbruch SR (2021). Attachment of a Myoelectric Prosthesis After Transulnar Osseointegration Implantation: A 2-Patient Case Study. JBJS Case Connector 11(4).", "title": "Attachment of a Myoelectric Prosthesis After Transulnar Osseointegration Implantation: A 2-Patient Case Study", "url": "https://europepmc.org/abstract/MED/34910710", "date": "2021-12-15", "written_by": "deployer", "quote": "After surgery, a myoelectric prosthetic equipped with Coapt (Chicago, IL) recognition software was attached directly to the implant." }, { "kind": "peer-reviewed study", "citation": "Simon AM, Turner KL, Miller LA, Potter BK, Beachler MD, Dumanian GA, Hargrove LJ, Kuiken TA (2023). User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use. IEEE Trans Neural Syst Rehabil Eng.", "title": "User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use", "url": "https://europepmc.org/abstract/MED/36355739", "date": "2023-01-31", "written_by": "makers", "quote": "they showed significant improvements in the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure while using pattern recognition control compared to direct control" } ], "replication": { "produced_by": [ "Stable implanted attachment delivering consistent electrode contact", "Pattern-recognition classifier trained on the patient's own EMG patterns", "Structured training with the software after surgery" ], "must_hold": [ "Sufficient residual muscle signals to separate grip and wrist classes", "Osseointegration without loosening over the follow-up period", "Clinician-supervised calibration and training" ], "echoes": [ { "date": "2023-01-31", "setting": "Randomized 8-week home trials of pattern recognition versus direct control with the Coapt system in transradial amputees (cohort)", "model_version": "Coapt COMPLETE CONTROL with Ossur i-Limb Ultra Revolution", "outcome": "recurred", "source": "Simon et al. (2023) IEEE Trans Neural Syst Rehabil Eng, PMID 36355739" } ] }, "paired_incident": null, "headline": "Coapt pattern recognition restores daily living for two amputees", "metric": null, "comparator": { "against": "direct myoelectric control", "before": null, "after": "significant improvements in the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure while using pattern recognition control compared to direct control", "basis": "measured", "quote": "After the home trial, they showed significant improvements in the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure while using pattern recognition control compared to direct control; other outcome measures showed no differences between control styles.", "url": "https://europepmc.org/abstract/MED/36355739" }, "later": { "status": "persisted", "date": "2023-01-31", "note": "A later randomized home-use study of transradial amputees confirmed broader grip use and better myoelectric control with Coapt pattern recognition than with direct control.", "quote": "While at home, participants demonstrated broader usage of grips in pattern recognition compared to direct control.", "url": "https://europepmc.org/abstract/MED/36355739" }, "value": null, "developer_country": "United States", "deployer_country": "United States", "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "source": null, "editor": "AIBD" }, { "date": "2026-10-20", "change": "Named the deployer and location from the first author's affiliation in the cited Europe PMC record, the Department of Limb Lengthening and Complex Reconstruction at Hospital for Special Surgery in New York, which the record had said was not given.", "source": "https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:34910710&resultType=core&format=json", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against, what happened since from the cited sources.", "source": "https://europepmc.org/abstract/MED/36355739; https://europepmc.org/abstract/MED/36355739", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Country of the developer and the deployer added from the organization's own site or a registry.", "source": "https://coaptengineering.com/lti-acquisition; https://en.wikipedia.org/wiki/Hospital_for_Special_Surgery", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" } ], "confidence": "claimed", "shade": "low", "claim_status": "The deployer's account", "claim_basis": "Sources: the makers' peer-reviewed study and the deployer's case report. The cited evidence includes no independent source and no finding by a regulator or court.", "profile": { "case_id": "AIBD-0050", "catalog_version": "1.0.0", "source_fingerprint": "a39530618e073fea1374938745b7eadf7d04d6e78b93306046e3fcc6488d718a", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0050-source-0001", "AIBD-0050-source-0002" ], "families": { "strategic assessments": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "evaluations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "monetary observations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "institutional decisions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] } }, "fields": { "actors[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "developer": "Coapt LLC", "deployer": "Hospital for Special Surgery, New York (Department of Limb Lengthening and Complex Reconstruction; the affiliation is given for the first author)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "developer", "deployer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "actors[].ownership_control": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_contribution": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ai_role": { "status": "assessed", "statement": "The Coapt software is a machine-learning pattern-recognition controller that maps electromyographic patterns to hand and wrist motions. 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Both underwent osseointegration implantation. After surgery a myoelectric prosthesis fitted with Coapt pattern-recognition software was attached directly to the implant. The software classifies electromyographic (EMG) signal patterns to drive a multiarticulating hand and wrist. Both trained with the software. At the most recent follow-ups of 18 months and 2 years the implants showed no loosening. The authors state that prosthetic control gradually improved to allow activities of daily living. Surgery dates are not given in the abstract.", "benefit_type": "Improved Accessibility" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].distribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].duration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].id": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].stakeholder_group": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "personal", "depth": 2, "reason": "Two identifiable patients gained prosthetic control enough for daily living activities, documented at 18-month and 2-year follow-up. The abstract has no validated functional scores, so life-changing is unsupported." }, { "group": "societal", "depth": 1, "reason": "A two-patient case report demonstrating feasibility of combining osseointegration with pattern-recognition control; no population-level effect shown." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ratings" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].status": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].tradeoffs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].unexpected": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "unexpected": false, "purpose": "Pattern-recognition control of a multiarticulating myoelectric hand and wrist for people with upper-limb amputation" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "unexpected", "purpose" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "places[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "location": "New York, New York, United States", "developer_country": "United States", "deployer_country": "United States" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "location", "developer_country", "deployer_country" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "purpose": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "purpose": "Pattern-recognition control of a multiarticulating myoelectric hand and wrist for people with upper-limb amputation" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "purpose" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "record_dates": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "date_observed": "2021-12-15", "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "editor": "AIBD" }, { "date": "2026-10-20", "change": "Named the deployer and location from the first author's affiliation in the cited Europe PMC record, the Department of Limb Lengthening and Complex Reconstruction at Hospital for Special Surgery in New York, which the record had said was not given.", "source": "https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:34910710&resultType=core&format=json", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against, what happened since from the cited sources.", "source": "https://europepmc.org/abstract/MED/36355739; https://europepmc.org/abstract/MED/36355739", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Country of the developer and the deployer added from the organization's own site or a registry.", "source": "https://coaptengineering.com/lti-acquisition; https://en.wikipedia.org/wiki/Hospital_for_Special_Surgery", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "editor": "AIBD" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "date_observed", "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.attempts[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "Stable implanted attachment delivering consistent electrode contact", "Pattern-recognition classifier trained on the patient's own EMG patterns", "Structured training with the software after surgery" ], "must_hold": [ "Sufficient residual muscle signals to separate grip and wrist classes", "Osseointegration without loosening over the follow-up period", "Clinician-supervised calibration and training" ], "echoes": [ { "date": "2023-01-31", "setting": "Randomized 8-week home trials of pattern recognition versus direct control with the Coapt system in transradial amputees (cohort)", "model_version": "Coapt COMPLETE CONTROL with Ossur i-Limb Ultra Revolution", "outcome": "recurred", "source": "Simon et al. (2023) IEEE Trans Neural Syst Rehabil Eng, PMID 36355739" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.conditions": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "Stable implanted attachment delivering consistent electrode contact", "Pattern-recognition classifier trained on the patient's own EMG patterns", "Structured training with the software after surgery" ], "must_hold": [ "Sufficient residual muscle signals to separate grip and wrist classes", "Osseointegration without loosening over the follow-up period", "Clinician-supervised calibration and training" ], "echoes": [ { "date": "2023-01-31", "setting": "Randomized 8-week home trials of pattern recognition versus direct control with the Coapt system in transradial amputees (cohort)", "model_version": "Coapt COMPLETE CONTROL with Ossur i-Limb Ultra Revolution", "outcome": "recurred", "source": "Simon et al. (2023) IEEE Trans Neural Syst Rehabil Eng, PMID 36355739" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "revision_history[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "editor": "AIBD" }, { "date": "2026-10-20", "change": "Named the deployer and location from the first author's affiliation in the cited Europe PMC record, the Department of Limb Lengthening and Complex Reconstruction at Hospital for Special Surgery in New York, which the record had said was not given.", "source": "https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:34910710&resultType=core&format=json", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against, what happened since from the cited sources.", "source": "https://europepmc.org/abstract/MED/36355739; https://europepmc.org/abstract/MED/36355739", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Country of the developer and the deployer added from the organization's own site or a registry.", "source": "https://coaptengineering.com/lti-acquisition; https://en.wikipedia.org/wiki/Hospital_for_Special_Surgery", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "editor": "AIBD" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sector": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "domain": "Rehabilitation medicine / upper-limb prosthetics", "segment": "Amputee prosthetic care" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "domain", "segment" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].access_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].citation_locator": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "case report", "citation": "Jaime KM, Reif TJ, Kafedzic H, Garrison G, Dhawan J, Rozbruch SR (2021). Attachment of a Myoelectric Prosthesis After Transulnar Osseointegration Implantation: A 2-Patient Case Study. JBJS Case Connector 11(4).", "title": "Attachment of a Myoelectric Prosthesis After Transulnar Osseointegration Implantation: A 2-Patient Case Study", "url": "https://europepmc.org/abstract/MED/34910710", "date": "2021-12-15", "written_by": "deployer", "quote": "After surgery, a myoelectric prosthetic equipped with Coapt (Chicago, IL) recognition software was attached directly to the implant." }, { "kind": "peer-reviewed study", "citation": "Simon AM, Turner KL, Miller LA, Potter BK, Beachler MD, Dumanian GA, Hargrove LJ, Kuiken TA (2023). User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use. IEEE Trans Neural Syst Rehabil Eng.", "title": "User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use", "url": "https://europepmc.org/abstract/MED/36355739", "date": "2023-01-31", "written_by": "makers", "quote": "they showed significant improvements in the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure while using pattern recognition control compared to direct control" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].id": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "AIBD-0050-source-0001", "AIBD-0050-source-0002" ], "role": "Existing evidence items, in their original order" }, "provenance": { "kind": "curatorial", "basis": "Stable within the fingerprinted record version; no source content or source review has been added.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "sources[].language": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "case report", "citation": "Jaime KM, Reif TJ, Kafedzic H, Garrison G, Dhawan J, Rozbruch SR (2021). Attachment of a Myoelectric Prosthesis After Transulnar Osseointegration Implantation: A 2-Patient Case Study. JBJS Case Connector 11(4).", "title": "Attachment of a Myoelectric Prosthesis After Transulnar Osseointegration Implantation: A 2-Patient Case Study", "url": "https://europepmc.org/abstract/MED/34910710", "date": "2021-12-15", "written_by": "deployer", "quote": "After surgery, a myoelectric prosthetic equipped with Coapt (Chicago, IL) recognition software was attached directly to the implant." }, { "kind": "peer-reviewed study", "citation": "Simon AM, Turner KL, Miller LA, Potter BK, Beachler MD, Dumanian GA, Hargrove LJ, Kuiken TA (2023). User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use. IEEE Trans Neural Syst Rehabil Eng.", "title": "User Performance With a Transradial Multi-Articulating Hand Prosthesis During Pattern Recognition and Direct Control Home Use", "url": "https://europepmc.org/abstract/MED/36355739", "date": "2023-01-31", "written_by": "makers", "quote": "they showed significant improvements in the Assessment of Capacity for Myoelectric Control (ACMC) outcome measure while using pattern recognition control compared to direct control" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].upstream_sources": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "strategic_assessments[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "strategic assessments" }, "summary": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "summary": "Two transulnar amputees given Coapt pattern-recognition prostheses on osseointegration implants regained activities of daily living.", "account": "A JBJS Case Connector report published 15 December 2021 (Jaime, Reif, Kafedzic, Garrison, Dhawan and Rozbruch) describes two people with traumatic transulnar amputations. Both underwent osseointegration implantation. After surgery a myoelectric prosthesis fitted with Coapt pattern-recognition software was attached directly to the implant. The software classifies electromyographic (EMG) signal patterns to drive a multiarticulating hand and wrist. Both trained with the software. At the most recent follow-ups of 18 months and 2 years the implants showed no loosening. The authors state that prosthetic control gradually improved to allow activities of daily living. Surgery dates are not given in the abstract." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "summary", "account" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].autonomy_permissions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].component_role": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].deployment_configuration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].inputs_outputs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_name": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].product_name": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "system": "Coapt pattern recognition myoelectric control (Coapt, Chicago, IL) on a multiarticulating hand and wrist" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "system" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].provider": { "state": "value_present", "value": { "kind": "structured", "data": { "application_developer": "Coapt LLC" } }, "provenance": { "kind": "legacy_record", "basis": "Mapped from the existing case description without a new external source review.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "Coapt pattern-recognition myoelectric prostheses attached to transulnar osseointegration implants restore daily-living control in two patients", "headline": "Coapt pattern recognition restores daily living for two amputees" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "title", "headline" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "version": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "a39530618e073fea1374938745b7eadf7d04d6e78b93306046e3fcc6488d718a" ], "role": "SHA-256 of normalized original case data" }, "provenance": { "kind": "curatorial", "basis": "Deterministic content version assigned by the local migration.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "workflow": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "A JBJS Case Connector report published 15 December 2021 (Jaime, Reif, Kafedzic, Garrison, Dhawan and Rozbruch) describes two people with traumatic transulnar amputations. Both underwent osseointegration implantation. After surgery a myoelectric prosthesis fitted with Coapt pattern-recognition software was attached directly to the implant. The software classifies electromyographic (EMG) signal patterns to drive a multiarticulating hand and wrist. Both trained with the software. At the most recent follow-ups of 18 months and 2 years the implants showed no loosening. The authors state that prosthetic control gradually improved to allow activities of daily living. Surgery dates are not given in the abstract.", "replication": { "produced_by": [ "Stable implanted attachment delivering consistent electrode contact", "Pattern-recognition classifier trained on the patient's own EMG patterns", "Structured training with the software after surgery" ], "must_hold": [ "Sufficient residual muscle signals to separate grip and wrist classes", "Osseointegration without loosening over the follow-up period", "Clinician-supervised calibration and training" ], "echoes": [ { "date": "2023-01-31", "setting": "Randomized 8-week home trials of pattern recognition versus direct control with the Coapt system in transradial amputees (cohort)", "model_version": "Coapt COMPLETE CONTROL with Ossur i-Limb Ultra Revolution", "outcome": "recurred", "source": "Simon et al. (2023) IEEE Trans Neural Syst Rehabil Eng, PMID 36355739" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" } }, "summary": { "total": 91, "addressed": 91, "known": 29, "reviewed": 0, "record_mapped": 29, "not_assessed": 62, "complete": false, "by_state": { "value_present": 29, "not_reported": 0, "unresolved": 0, "not_assessed": 62, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }