Methods for the metrological characterization of wearable devices for the measurement of physiological signals: state of the art and future challenges

Cosoli, Gloria; Antognoli, Luca; Scalise, Lorenzo

doi:10.1016/j.mex.2023.102038

Cited by 9 publications

(6 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wearable sensors are spreading worldwide, with a growth of > 20% per year, expecting to increase to EUR 150 billion by 2028. Wearables have multiple advantages: they are user-friendly, relatively inexpensive, non-invasive, and available in several market segments [ 51 ]. Despite their advantages, multiple challenges related to the use of wearables in real practice are still unaddressed with regard to data collection, data processing, communications, and security.…”

Section: Discussionmentioning

confidence: 99%

Wearable Sensors to Evaluate Autonomic Response to Olfactory Stimulation: The Influence of Short, Intensive Sensory Training

et al. 2023

View full text Add to dashboard Cite

In the last few decades, while the sensory evaluation of edible products has been leveraged to make strategic decisions about many domains, the traditional descriptive analysis performed by a skilled sensory panel has been seen to be too complex and time-consuming for the industry needs, making it largely unsustainable in most cases. In this context, the study of the effectiveness of different methods for sensory training on panel performances represents a new trend in research activity. With this purpose, wearable sensors are applied to study physiological signals (ECG and skin conductance) concerned with the emotions in a cohort of volunteers undergoing a short, two-day (16 h) sensory training period related to wine tasting. The results were compared with a previous study based on a conventional three-month (65 h) period of sensory training. According to what was previously reported for long panel training, it was seen that even short, intensive sensory training modulated the ANS activity toward a less sympathetically mediated response as soon as odorous compounds become familiar. A large-scale application of shorter formative courses in this domain appears possible without reducing the effectiveness of the training, thus leading to money saving for academia and scientific societies, and challenging dropout rates that might affect longer courses.

show abstract

Section: Discussionmentioning

confidence: 99%

Wearable Sensors to Evaluate Autonomic Response to Olfactory Stimulation: The Influence of Short, Intensive Sensory Training

et al. 2023

View full text Add to dashboard Cite

show abstract

“…It is important to make a detailed test plan and that this plan incorporates a gender perspective in terms of a variety of subjects, tasks, routines and preferences. Regarding metrological validation, [ 19 ] provide as a conclusion of the study a series of recommendations for testing devices, among which we would like to highlight the emphasis on the specification of end-users in terms of gender “ test population should be described in terms of gender, age, weight, and height (or BMI), skin tone, etc .”.…”

Section: Methodology Proposalmentioning

confidence: 99%

“…A very important aspect in the design of wearables and the decision of which sensors to include is their accuracy and their metrological performance. In this regard, we can find works that review the existing methods for measuring accuracy and provide guidelines for the correct measurement of the sensors [ 19 ]. Gender should be included as one of the variables to be taken into account when measuring whether the developed sensors perform satisfactorily for the end-user population.…”

Section: Analysis For Gender Perspective Inclusionmentioning

confidence: 99%

Electronic Design for Wearables Devices Addressed from a Gender Perspective: Cross-Influences and a Methodological Proposal

Romero

Andújar

López-Ongil

2023

Sensors

View full text Add to dashboard Cite

The design of wearable devices has been approached from many perspectives over the years, mainly from a functionality, electronics, mechanics, usability, wearability, or product design perspective. However, there is a missing point in these approaches: the gender perspective. Gender intersects with every approach and, considering the interrelationships and dependencies, can achieve a better adherence, reach a wider audience, and even change the conception of the wearables design paradigm. The electronics design addressed from a gender perspective must consider both the morphological and anatomical impacts and those emanating from socialization. This paper presents an analysis of the different factors to consider when designing the electronics of a wearable device, including the functionality to implement, sensors, communications, or the location, together with their interdependencies, and proposes a user-centered methodology that contemplates a gender perspective at every stage. Finally, we present a use case that validates the proposed methodology in a real design of a wearable device for the prevention of gender-based violence cases. For the application of the methodology, 59 experts have been interviewed, 300 verbatims have been extracted and analyzed, a dataset from the data of 100 women has been created and the wearable devices have been tested for a week by 15 users. The electronics design needs to be addressed from a multidisciplinary approach, by rethinking the decisions taken for granted and analyzing the implications and interrelationships from a gender perspective. We need to enroll more diverse people at every design stage and include gender as one of the variables to study.

show abstract

“…The average age of the population is increasing, and with it the average walking speed is decreasing, highlighting the need for accuracy in activity sensors, particularly at lower Bioengineering 2024, 11, 547 2 of 12 walking speeds. Currently, there is no accepted method for identifying a range of appropriate settings in activity monitors prior to human validation trials [9]. Notably, there are no reports of a methodology for pre-validation of sensor settings prior to human validation experiments by the research groups who develop wearable sensors.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Method for Rapid Determination of Step Count Sensor Settings

Lundell,

Kaufman

2024

Bioengineering

View full text Add to dashboard Cite

With the increased push for personalized medicine, researchers and clinicians have begun exploring the use of wearable sensors to track patient activity. These sensors typically prioritize device life over robust onboard analysis, which results in lower accuracies in step count, particularly at lower cadences. To optimize the accuracy of activity-monitoring devices, particularly at slower walking speeds, proven methods must be established to identify suitable settings in a controlled and repeatable manner prior to human validation trials. Currently, there are no methods for optimizing these low-power wearable sensor settings prior to human validation, which requires manual counting for in-laboratory participants and is limited by time and the cadences that can be tested. This article proposes a novel method for determining sensor step counting accuracy prior to human validation trials by using a mechanical camshaft actuator that produces continuous steps. Sensor error was identified across a representative subspace of possible sensor setting combinations at cadences ranging from 30 steps/min to 110 steps/min. These true errors were then used to train a multivariate polynomial regression to model errors across all possible setting combinations and cadences. The resulting model predicted errors with an R2 of 0.8 and root-mean-square error (RMSE) of 0.044 across all setting combinations. An optimization algorithm was then used to determine the combinations of settings that produced the lowest RMSE and median error for three ranges of cadence that represent disabled low-mobility ambulators, disabled high-mobility ambulators, and healthy ambulators (30–60, 20–90, and 30–110 steps/min, respectively). The model identified six setting combinations for each range of interest that achieved a ±10% error in cadence prior to human validation. The anticipated range of errors from the optimized settings at lower walking speeds are lower than the reported errors of wearable sensors (±30%), suggesting that pre-human-validation optimization of sensors may decrease errors at lower cadences. This method provides a novel and efficient approach to optimizing the accuracy of wearable activity monitors prior to human validation trials.

show abstract

Methods for the metrological characterization of wearable devices for the measurement of physiological signals: state of the art and future challenges

Cited by 9 publications

References 48 publications

Wearable Sensors to Evaluate Autonomic Response to Olfactory Stimulation: The Influence of Short, Intensive Sensory Training

Wearable Sensors to Evaluate Autonomic Response to Olfactory Stimulation: The Influence of Short, Intensive Sensory Training

Electronic Design for Wearables Devices Addressed from a Gender Perspective: Cross-Influences and a Methodological Proposal

Mechanical Method for Rapid Determination of Step Count Sensor Settings

Contact Info

Product

Resources

About