Paper Citation Record · LEDGER

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning

As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2411.15533.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.15533 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:14:08.390728Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact2
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9da6b3e-061c-45d4-b892-31829e2bf925 · outbound

This paper cites (2018, 09) Why limbs.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning (2018, 09) Why limbs

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.643517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d64c7427-982f-47d1-a7cf-7f6bf981eab6 · outbound

This paper cites Access to prosthetic devices in developing countries: Pathways and challenges,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Access to prosthetic devices in developing countries: Pathways and challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.629846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22d133af-88cb-4d2b-b494-af76af263025 · outbound

This paper cites The abc of emg,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning The abc of emg,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.615666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef04f0bb-f6eb-464b-aebe-54eaac925ce7 · outbound

This paper cites Bronzino and Donald R.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Bronzino and Donald R

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.602064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78eed6d3-43c3-407c-9595-bf8c7d9eebd8 · outbound

This paper cites Dry-contact and non- contact biopotential electrodes: Methodological review,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Dry-contact and non- contact biopotential electrodes: Methodological review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.590101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5cc22c3f-6091-4960-9d7f-adf1dac47a37 · outbound

This paper cites Evaluation of the forearm emg signal features for the control of a prosthetic hand,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Evaluation of the forearm emg signal features for the control of a prosthetic hand,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.577233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3f81bc1d-e09c-4987-bd16-de68af01623e · outbound

This paper cites Emg-controlled prosthetic hand with fuzzy logic classification algorithm,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Emg-controlled prosthetic hand with fuzzy logic classification algorithm,

Reference 7

Resolution: verified exact; doi, observed 2026-08-12T14:14:08.425139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d489af57-cab2-4e21-8d6e-7d78e4ff1df1 · outbound

This paper cites Comparison of different time and frequency domain feature extraction methods on elbow gesture’s emg,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Comparison of different time and frequency domain feature extraction methods on elbow gesture’s emg,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.564156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f755743-9885-44ba-ade1-bfd4137ceabf · outbound

This paper cites Feature extraction of emg signals in time and frequency domain for myopathy, neuropathy and healthy muscle,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Feature extraction of emg signals in time and frequency domain for myopathy, neuropathy and healthy muscle,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.549962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f575e31b-d56c-4732-809b-cb5631b4f787 · outbound

This paper cites Hagan, H.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Hagan, H

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.535622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b96fa5c5-d3c9-4a02-a3bc-eb54e907f62e · outbound

This paper cites SVM and ANN based Classification of EMG signals by using PCA and LDA.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning SVM and ANN based Classification of EMG signals by using PCA and LDA

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:14:08.444357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c9128a43-d568-4bf5-9f04-4faa1c28eb4d · outbound

This paper cites Classi- fication of myoelectric surface signals of hand movements using su- pervised learning techniques,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Classi- fication of myoelectric surface signals of hand movements using su- pervised learning techniques,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.520842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 67a4a1d7-94e1-4ac1-9f7e-57d09dbc13eb · outbound

This paper cites Feature extraction and classifi- cation for emg signals using linear discriminant analysis,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Feature extraction and classifi- cation for emg signals using linear discriminant analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.504405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28d916e1-492b-46e7-9ab1-4ce297233053 · outbound

This paper cites Multiclass motion identification using myoelectric signals and support vector machines,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Multiclass motion identification using myoelectric signals and support vector machines,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.489402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50223c69-bccc-4098-b7c2-3261a74c9bbe · outbound

This paper cites Myoelectric signal classification of targeted muscles using dictionary learning,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Myoelectric signal classification of targeted muscles using dictionary learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.474339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 241244c3-d07a-4815-8040-1b91b03b6332 · outbound

This paper cites A hand-modeled feature extraction-based learning network to detect grasps using semg signal,.

Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning A hand-modeled feature extraction-based learning network to detect grasps using semg signal,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:14:08.458767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.