Jul 27, 2017 - Let's take a look at some common questions about the new fitting software. I downloaded the new software, but I don't see Aventa 3 on my.
The ReSound Smart app v. 3.4.0 is compatible with the following hearing aids: ReSound LiNX. 9/7/5, ReSound LiNX 9/7, ReSound LiNX TS 9/7, ReSound ENZO. 9/7/5, ReSound ENZO 9/7, ReSound UP Smart 9/7/5 hearing aids.
The ReSound Smart app is compatible with the following devices: the app is compatible with iPhone 7 Plus, iPhone 7, iPhone 6s Plus, iPhone 6s, iPhone 6 Plus, iPhone 6, iPhone SE, iPhone 5s, iPhone 5c, iPhone 5, iPad Pro (12.9-inch), iPad Pro (9.7-inch), iPad Air 2, iPad Air, iPad (4th generation), iPad mini 4, iPad mini 3, iPad mini 2, iPad mini and iPod touch (5th and 6th generation). The app is optimized for iPhone 6. IOS 8 or later is required. For iPhone 6 Plus and iPhone 6 we strongly recommend iOS 8.1 or later. The app supports Apple Watch. Watch support requires minimum watchOS 2 and iOS 9.
The ReSound Smart app enables you to control and personalize your hearing experience - intuitively and discretely. It is the first hearing aid app with a direct connection between your ReSound MFi hearing aids and your iPhone, iPad or iPod touch. Use the ReSound Smart app to: Adjust volume settings on your hearing aids. Mute your hearing aids. Adjust volume of your ReSound streaming accessory separately.
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Adjust speech focus as well as comfort in noise and wind with Sound Enhancer (for selected programs in ReSound LiNX. Change manual and streamer programs. Edit and personalize program names. Adjust treble and bass to your preferences.
Save your preferred settings as a Favorite - with or without tagging to a location. Battery and connection status.
Get inspiration and personalized information about your hearing aid. Help locate lost or misplaced hearing aids. Tinnitus manager: Adjustment of sound variation and frequency of the Tinnitus Sound Generator. Selection of Nature Sounds.
(Features available in ReSound LiNX. If enabled by your hearing care professional). For more information and help please visit www.resound.com/smartapp. Privacy policy. Please view our privacy policy in the link provided: www.resound.com/privacy-policy. Note: Continued use of GPS running in the background can dramatically decrease battery life.
The long-term data logging in the Widex Inteo logs the hours of use of the hearing aid and of each listening program. It groups and displays the percentage of time the wearer spent in 10 distinct acoustic categories based on the analysis of the intensity, spectrum, modulation, and duration of the acoustic inputs. The information is displayed on the Compass fitting software for a better understanding of the wearer's acoustic environments and for manual fine-tuning and/or program assignment. The Inteo also has a unique short-term event log that is activated by the wearer. It analyzes and averages data for 1 minute only.
This limits the logged data to the sounds of the “offending” environment and offers insight into their frequency-intensity content. A more precise adjustment of the involved frequency gain parameters is then possible during fine-tuning.
In effect, it brings the patient's environment into the clinic. The data log in Starkey's Destiny products collects three categories of data relating to the aid, the patient, and the acoustic environment. The aid category includes self-diagnostic results, battery life, and activity of various adaptive algorithms.
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The patient category logs daily use time, volume control settings, and time spent in different memories. The environment category records input levels and time exposed to different types of noise, identified by an Acoustic Signature algorithm. This statistical algorithm recognizes four distinct noise categories and adapts the response selectively to improve comfort.
The data log thus helps correlate patient reports and behavior with aid settings and environmental realities. Upon the patient's return visit, the Inspire software downloads data from the aid and creates a thorough statistical report, supported by pie charts and bar graphs. But data are useless unless they lead to actions. Inspire OS software analyzes the data log to derive specific recommendations for improved performance, to be applied with a simple key stroke. The data log even shows what would have happened if settings had been different. Sonic Innovations' data logging is accessible at the start of every follow-up visit. It stores a host of data, including the date that the current session started, the average use in hours per day, the total use in each available program (up to four programs with the description of the program), the time spent in three levels of noise (soft, moderate, and loud), as well as the average volume control adjustment in each program.
The system increments internal counters based on the environment and device settings. The total value in each counter is used when checking the data log to calculate all the above information. If the data log suggests that the current settings may not be optimal, recommendations for change are offered. Or, in the case of the volume control, the program volume in each program can be adjusted automatically to the levels based upon usage. Data logging is seen as a tool to understand the patient's lifestyle and needs and to assist in volume settings and program choices. The Siemens DataLearning' algorithm not only logs a variety of data but also uses these data to make changes to the gain of the hearing aid to help the patient and the clinician reach the optimum use gain level. During hearing aid use, the patient's listening environment is sampled once a second and these data are stored and averaged every 15 minutes after power on.
The data are stored recursively, i.e., the new data and the old data are multiplied with different weights after being added together to give the current value, which is subsequently stored and displayed in the software. In addition, the wearing time of each instrument is stored. The software displays the learned gain setting as compared with the target gain set at the time of fitting.
In addition, the classification system provides data on the time the user spent in each memory/program, as well as the time in different listening environments such as quiet, speech in quiet, stationary noise, speech in noise, and music. Volume control preferences are continuously learned across different programs and a fine-grained web of different listening situations. Epoq not only logs data, but it can also remember and apply volume control changes.
Unlike previous systems, Epoq acknowledges that adjustments need to be interpreted carefully and adjusted over a fine scale, rather than as an overall change or a change in a limited number of sound scenes. Epoq will analyze the user's volume control changes across numerous modes depending on the presence of speech and on the degree and level of background noise. This occurs in each program. Oticon's compression system also is optimized for the user's specific lifestyle. Based on our accumulated knowledge of the level distributions and proportion of speech and noise the typical hearing aid users experiences, we have set the dyna-mic response of the compression system. If, over time, it becomes clear that the patient experiences sound environments that are either more or less dynamic than average, adjustments are made to the mixing of the faster and slower components.
Onboard Analyzer' II is the data logging feature of the ReSound Azure' hearing instrument. It automatically logs information regarding hearing instrument usage and listening environments. Then, when the hearing instrument is connected with the Aventa fitting software, the data is transferred into the Noah database client session. The Aventa fitting software provides graphic and numerical displays of the data. The Onboard Analyzer II will guide the professional in interpreting and using this wealth of information. Examples of the information logged by the Onboard Analyzer include: use time per program, per environment, and total number of times device is switched on and programs are switched; volume control changes over time, per program and per environment; level of input per program; and proportion of time directionality has automatically switched on.
A learning algorithm uses the logged information on volume control use to adjust overall gain dependent on environments. Thus, logged data are actually used online to alter the behavior of the hearing instrument. © 2007 Lippincott Williams & Wilkins, Inc.