Kohler Izzy, Perrotta Michael V, Ferreira Tiago, Eagleman David M
Neosensory, Los Altos, CA, United States.
Department of Psychiatry, Stanford University, Stanford, CA, United States.
JMIRx Med. 2024 Feb 9;5:e49969. doi: 10.2196/49969.
High-frequency hearing loss is one of the most common problems in the aging population and with those who have a history of exposure to loud noises. This type of hearing loss can be frustrating and disabling, making it difficult to understand speech communication and interact effectively with the world.
This study aimed to examine the impact of spatially unique haptic vibrations representing high-frequency phonemes on the self-perceived ability to understand conversations in everyday situations.
To address high-frequency hearing loss, a multi-motor wristband was developed that uses machine learning to listen for specific high-frequency phonemes. The wristband vibrates in spatially unique locations to represent which phoneme was present in real time. A total of 16 participants with high-frequency hearing loss were recruited and asked to wear the wristband for 6 weeks. The degree of disability associated with hearing loss was measured weekly using the Abbreviated Profile of Hearing Aid Benefit (APHAB).
By the end of the 6-week study, the average APHAB benefit score across all participants reached 12.39 points, from a baseline of 40.32 to a final score of 27.93 (SD 13.11; N=16; P=.002, 2-tailed dependent t test). Those without hearing aids showed a 10.78-point larger improvement in average APHAB benefit score at 6 weeks than those with hearing aids (t14=2.14; P=.10, 2-tailed independent t test). The average benefit score across all participants for ease of communication was 15.44 (SD 13.88; N=16; P<.001, 2-tailed dependent t test). The average benefit score across all participants for background noise was 10.88 (SD 17.54; N=16; P=.03, 2-tailed dependent t test). The average benefit score across all participants for reverberation was 10.84 (SD 16.95; N=16; P=.02, 2-tailed dependent t test).
These findings show that vibrotactile sensory substitution delivered by a wristband that produces spatially distinguishable vibrations in correspondence with high-frequency phonemes helps individuals with high-frequency hearing loss improve their perceived understanding of verbal communication. Vibrotactile feedback provides benefits whether or not a person wears hearing aids, albeit in slightly different ways. Finally, individuals with the greatest perceived difficulty understanding speech experienced the greatest amount of perceived benefit from vibrotactile feedback.
高频听力损失是老年人群以及有长期暴露于高强度噪音环境史人群中最常见的问题之一。这种类型的听力损失可能会令人沮丧且使人丧失能力,导致难以理解言语交流并有效地与外界互动。
本研究旨在探究代表高频音素的空间独特触觉振动对在日常情境中理解对话的自我感知能力的影响。
为解决高频听力损失问题,研发了一种多电机腕带,其利用机器学习来监听特定的高频音素。腕带在空间独特的位置振动以实时表示出现了哪个音素。总共招募了16名高频听力损失参与者,并要求他们佩戴腕带6周。每周使用《助听器效益简表》(APHAB)来测量与听力损失相关的残疾程度。
在为期6周的研究结束时,所有参与者的平均APHAB效益得分从基线的40.32分达到了27.93分,平均分提高了12.39分(标准差13.11;N = 16;P = 0.002,双侧配对t检验)。未佩戴助听器的参与者在6周时的平均APHAB效益得分比佩戴助听器的参与者高出10.78分(t14 = 2.14;P = 0.10,双侧独立t检验)。所有参与者在交流便利性方面的平均效益得分为15.44分(标准差13.88;N = 16;P < 0.001,双侧配对t检验)。所有参与者在背景噪音方面的平均效益得分为10.88分(标准差17.54;N = 16;P = 0.03,双侧配对t检验)。所有参与者在混响方面的平均效益得分为10.84分(标准差16.95;N = 16;P = 0.02,双侧配对t检验)。
这些发现表明,由腕带提供的振动触觉感官替代,其产生与高频音素相对应的空间可区分振动,有助于高频听力损失个体提高他们对言语交流的感知理解。无论一个人是否佩戴助听器,振动触觉反馈都有帮助,尽管方式略有不同。最后,在理解言语方面感知困难最大的个体从振动触觉反馈中获得的感知益处最大。