OTOtherJournal of neuroengineering and rehabilitation2017

Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements.

Agamemnon Krasoulis, Iris Kyranou, Mustapha Suphi Erden and 2 others

PMID 28697795

WHAT IT FOUND

Adding inertial sensor data to muscle signals improved offline hand-movement decoding and real-time prosthetic hand control in mostly able-bodied users.

The amputee result came from a single participant.

Key findings

01In offline decoding of 40 hand movements, combining surface EMG with inertial measurements gave the highest balanced classification accuracy, with medians of 82.7% for able-bodied and 77.8% for amputee subjects.

02In real-time pick-and-place with a prosthetic hand, able-bodied users had significantly higher completion rates when both EMG and inertial data were used than when EMG alone was used, and this was seen in 10 out of 11 participants.

03For the single amputee real-time participant, the best completion rate and completion time occurred with EMG plus inertial data from a selected subset of three sensors.

STILL TO COME

How it was doneWhat they foundWhat it means for OTs

Read the rest of this summary

You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.

Already have one?

What it does not show

The real-time group was small and mostly able-bodied, with only one amputee participant, so the amputee result cannot be treated as evidence for a population. Able-bodied participants had their fingers bandaged closed to mimic limb loss, which may not reproduce the muscle signals, socket fit or daily use of an actual prosthetic user. Training and testing used the same arm postures for the same grips, which may have favoured decoders that use posture-dependent inertial signals. The study tested a short laboratory task and reported technical control metrics, not patient-reported function, independence, safety or long-term outcomes. One amputee's offline data collection was interrupted early because of a power supply failure, so that participant did not perform the final two movements.

Declared interests

Funding was from Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council and Microsoft Research.

The easy way to misread this

Do not conclude that adding inertial sensors makes prosthetic hands clinically better for amputees. The real-time evidence is mainly from able-bodied users whose fingers were bandaged, and the amputee finding comes from a single participant in a short laboratory task.

Read it on PubMed →