Tags

Type your tag names separated by a space and hit enter

Exploring intrinsic triggers for functional facial electrostimulation based on intramuscular electromyography recordings.
Conf Proc IEEE Eng Med Biol Soc 2019; 2019:6599-6602CP

Abstract

Based on univariate intramuscular electromyography (EMG) recordings of facial muscles of patients suffering from chronic idiopathic facial palsy we propose a data-driven feature selection process for the discrimination of different mimic maneuvers. Following fundamental ideas of automatic EMG decompositions based on templates defined by motor unit action potentials, the proposed approach relies on a multiple template matching. Yet, the novel methodology utilizes templates derived from the intramuscular EMG signal itself without any supervisor interaction or a priori information by identifying abundant short signal sections (motifs). Focusing on motifs as individual, characteristical graphoelements of an EMG recording implies a high level of flexibility. In connection with facial palsy such a flexibility is necessary, since unique individual, also pathological, EMG patterns can be expected due to the high spatial variability of intramuscular recordings combined with random patterns of aberrant reinnervation. The proposed methodology is applied to EMG data of frontalis, zygomaticus, and orbicularis oculi muscle without patient- or muscle-specific adaptations.

Authors

No affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31947354

Citation

Leistritz, Lutz, et al. "Exploring Intrinsic Triggers for Functional Facial Electrostimulation Based On Intramuscular Electromyography Recordings." Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2019, 2019, pp. 6599-6602.
Leistritz L, Poschl C, Volk GF. Exploring intrinsic triggers for functional facial electrostimulation based on intramuscular electromyography recordings. Conf Proc IEEE Eng Med Biol Soc. 2019;2019:6599-6602.
Leistritz, L., Poschl, C., & Volk, G. F. (2019). Exploring intrinsic triggers for functional facial electrostimulation based on intramuscular electromyography recordings. Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2019, pp. 6599-6602. doi:10.1109/EMBC.2019.8856675.
Leistritz L, Poschl C, Volk GF. Exploring Intrinsic Triggers for Functional Facial Electrostimulation Based On Intramuscular Electromyography Recordings. Conf Proc IEEE Eng Med Biol Soc. 2019;2019:6599-6602. PubMed PMID: 31947354.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Exploring intrinsic triggers for functional facial electrostimulation based on intramuscular electromyography recordings. AU - Leistritz,Lutz, AU - Poschl,Christiane, AU - Volk,Gerd Fabian, PY - 2020/1/18/entrez SP - 6599 EP - 6602 JF - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference JO - Conf Proc IEEE Eng Med Biol Soc VL - 2019 N2 - Based on univariate intramuscular electromyography (EMG) recordings of facial muscles of patients suffering from chronic idiopathic facial palsy we propose a data-driven feature selection process for the discrimination of different mimic maneuvers. Following fundamental ideas of automatic EMG decompositions based on templates defined by motor unit action potentials, the proposed approach relies on a multiple template matching. Yet, the novel methodology utilizes templates derived from the intramuscular EMG signal itself without any supervisor interaction or a priori information by identifying abundant short signal sections (motifs). Focusing on motifs as individual, characteristical graphoelements of an EMG recording implies a high level of flexibility. In connection with facial palsy such a flexibility is necessary, since unique individual, also pathological, EMG patterns can be expected due to the high spatial variability of intramuscular recordings combined with random patterns of aberrant reinnervation. The proposed methodology is applied to EMG data of frontalis, zygomaticus, and orbicularis oculi muscle without patient- or muscle-specific adaptations. SN - 1557-170X UR - https://www.unboundmedicine.com/medline/citation/31947354/Exploring_intrinsic_triggers_for_functional_facial_electrostimulation_based_on_intramuscular_electromyography_recordings L2 - https://dx.doi.org/10.1109/EMBC.2019.8856675 DB - PRIME DP - Unbound Medicine ER -