Cochlear Implant Evaluation: Prognosis Estimation by Data Mining System

Guerra-Jiménez, Gloria; Á, Ramos De Miguel; Jc, Falcón González; Barreiro, Borkoski; D, Pérez Plasencia; Á, Ramos Macías

doi:10.5152/iao.2016.510

Cited by 19 publications

(14 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the current study, GBI showed a general benefit of 24.81 points post-CI. This score was slightly lower when compared with previous work presented by Aimoni et al (70), who presented a mean GBI score of 33.5 in 53 subjects with bilateral hearing loss, and Guerra-Jiménez et al (69), who observed a mean GBI score of 36 in 29 subjects with bilateral hearing loss (69,70). This was not surprising considering that adults with SSD participate in society using monaural cues, thereby reducing the impact that their hearing loss has on their overall health status.…”

Section: Functional Hearing Benefitscontrasting

confidence: 66%

Single-Sided Deafness: Emotional and Social Handicap, Impact on Health Status and Quality of Life, Functional Hearing, and the Effects of Cochlear Implantation

Távora-Vieira

Wedekind

2022

Otol Neurotol

View full text Add to dashboard Cite

ObjectiveTo evaluate the functional and subjective outcomes in individuals with single-sided deafness (SSD) treated with a cochlear implant (CI).MethodsEighty-one adult CI users with SSD participated in this study. Functional assessments consisted of speech in noise testing and localization. Subjective assessments consisted of the Speech Spatial Quality of Hearing Scale, the Tinnitus Reaction Questionnaire, the Abbreviated Profile of Hearing Aid Benefit questionnaire, the Hearing Handicap Inventory for Adults questionnaire, and the Glasgow Health Status Inventory and the Glasgow Benefit Inventory questionnaires.ResultsSSD has remarkable consequences on quality of life (QoL) and imposes a substantial emotional and social handicap on the individuals. Self-reported QoL improved after CI with tinnitus intrusion significantly reduced as early as 3 months post-CI. A significant improvement was seen in all speech understanding in noise configurations. Localization ability significantly improved with CI on.ConclusionOur findings demonstrate that SSD reduces social and psychological QoL and imposes a remarkable level of handicap as per general and specific self-assessments tool. CI provided a significant improvement in function including speech understanding in noise and localization ability, as well as improved QoL and reduced tinnitus significantly in both the early and long terms.

show abstract

Section: Functional Hearing Benefitscontrasting

confidence: 66%

Single-Sided Deafness: Emotional and Social Handicap, Impact on Health Status and Quality of Life, Functional Hearing, and the Effects of Cochlear Implantation

Távora-Vieira

Wedekind

2022

Otol Neurotol

View full text Add to dashboard Cite

show abstract

“…Although many patient-specific factors are thought to be associated with these outcomes, the strength of the associations of these factors with CI speech-recognition outcomes has been equivocal. For example, Kim et al and Francis et al both showed that older age at implantation was associated with poorer postimplant speech recognition abilities as compared with younger CI users, whereas Park et al and Guerra-Jimenez et al did not report this association. Similar inconsistencies exist for the majority of patient-specific factors that have been studied and reported.…”

Section: Introductionmentioning

confidence: 99%

Association of Patient-Related Factors With Adult Cochlear Implant Speech Recognition Outcomes

Zhao

Dornhoffer

Loftus

et al. 2020

JAMA Otolaryngol Head Neck Surg

View full text Add to dashboard Cite

IMPORTANCE Multiple studies have evaluated associations between post-cochlear implant (CI) speech recognition outcomes and patient-related factors. Current literature often appears equivocal or contradictory, so little is known about the factors that contribute to successful speech recognition outcomes with CIs.OBJECTIVE To use a meta-analysis to pool data from the extant literature and provide an objective summary of existing evidence on associations of patient-related factors and CI speech recognition outcomes.DATA SOURCES A literature search was performed using PubMed, Scopus, and CINAHL databases in January 2019 using the following search terms: cochlear implant or cochlear implants or cochlear implantation and speech recognition or word recognition or sentence recognition. Studies of postlingually deafened adult CI recipients that reported word or sentence recognition scores were included.STUDY SELECTION Inclusion criteria were postlingual adult CI recipients 18 years or older with word or sentence recognition scores at minimum 6-month postimplantation. Studies that included patients undergoing revision or reimplantation surgery were excluded. DATA EXTRACTION AND SYNTHESIS Following the Preferred Reporting Items for SystemicReviews and Meta-analyses (PRISMA) guidelines, 1809 unique articles underwent review by abstract, and 121 articles underwent full-text review, resulting in 13 articles of 1095 patients for a meta-analysis of correlations. Random-effects model was used when the heterogeneity test yielded a low P value (P < .05). MAIN OUTCOMES AND MEASURESThe planned primary outcome was the pooled correlation values between postimplant speech recognition scores and patient-related factors. RESULTSOf the 1095 patients included from the 13 studies, the mean age at implantation ranged from 51.2 to 63.7 years and the mean duration of hearing loss ranged from 9.5 to 31.8 years; for the 825 patients for whom sex was reported, 421 (51.0%) were women. A weak negative correlation was observed between age at implantation and postimplant sentence recognition in quiet (r = −0.31 [95% CI, −0.41 to −0.20]). Other correlations between patient-related factors and postimplant word or sentence recognition were statistically significant, but all correlations were absent to negligible (r = 0.02-0.27). CONCLUSIONS AND RELEVANCEGiven that most associations were weak, negligible, or absent, patient-related factors often thought to affect CI speech recognition ability offer limited assistance in clinical decision-making in cochlear implantation. Additional research is needed to identify patient-related and other factors that predict CI outcomes, including speech recognition and other important variables related to success with CIs.

show abstract

“…In the recent decade, AI based approaches have demonstrated their supreme capability over traditional signal processing algorithms in computer vision, natural language processing, gaming, and biomedical engineering, including hearing healthcare [9]. Machine learning and deep learning have changed various aspects of the 'AI + CI' research [10], including prognosis estimation [11], electrode placement [12], robotic surgery [13], mapping [14], [15], and sound signal processing [16], [17]. In addition, the successful stories of deep learning in general audio processing [18], [19] and hearing aids [20], [21] may also significant change the related field of CI sound processing.…”

Section: Introductionmentioning

confidence: 99%

ElectrodeNet – A Deep Learning Based Sound Coding Strategy for Cochlear Implants

Huang¹,

Chao²,

Yu³

et al. 2023

Preprint

View full text Add to dashboard Cite

<div> <div> <div> <div> <p>Objective: ElectrodeNet, a deep-learning based sound coding strategy for the cochlear implant (CI), is proposed in this study. The performance between ElectrodeNet and the advanced combination encoder (ACE) coding strategy in speech intelligibility is compared. Methods: ElectrodeNet emulates the ACE strategy and replaces the conventional envelope detection using various forms of artificial neural networks. Network models of deep neural network (DNN), convolutional neural network (CNN), and long short-term memory (LSTM) were trained using the fast Fourier transformed clean speech and the corresponding electrode stimulation patterns. Objective speech intelligibility was estimated for ElectrodeNets for the factors of loss function, network architecture, language, and noise type. Subjective listening tests for vocoded Mandarin speech were conducted with 40 normal-hearing listeners. Results: DNN, CNN, and LSTM based ElectrodeNets exhibited strong correlations with the ACE strategy in short-time objective intelligibility (STOI) and normalized covariance metric (NCM) scores. For objective evaluations, small mean squared error (MSE) scores between ACE and ElectrodeNets were less than 0.01 under all experimental conditions, whereas linear correlation coefficient (LCC) and Spearman’s rank correlation coefficient (SRCC) were obtained in large values greater than 0.97 and 0.96, respectively. According to the listening test results, substantial positive relationships were also observed between ACE and both DNN and CNN based ElectrodeNets with MSEs smaller than 0.02, and LCCs and SRCCs greater than 0.9. Significance: This study demonstrates the feasibility of using deep learning to encode sound into meaningful patterns for CI listening. </p> </div> </div> </div> </div>

show abstract

Cochlear Implant Evaluation: Prognosis Estimation by Data Mining System

Cited by 19 publications

References 33 publications

Single-Sided Deafness: Emotional and Social Handicap, Impact on Health Status and Quality of Life, Functional Hearing, and the Effects of Cochlear Implantation

Single-Sided Deafness: Emotional and Social Handicap, Impact on Health Status and Quality of Life, Functional Hearing, and the Effects of Cochlear Implantation

Association of Patient-Related Factors With Adult Cochlear Implant Speech Recognition Outcomes

ElectrodeNet – A Deep Learning Based Sound Coding Strategy for Cochlear Implants

Contact Info

Product

Resources

About