Flexible Pressure Sensor Based on Molybdenum Diselide/Multi-Walled Carbon Nanotubes for Human Motion Detection

Guan, Jingrun; Zhang, Dongzhi; Li, Tingting

doi:10.1109/jsen.2021.3060425

Cited by 17 publications

(7 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… Sterne et al (2011) advised that a minimum of ten studies be reviewed to achieve sufficient power to assess small-study effects as a rule of thumb. On the other hand, we anticipated that flexible electronics, or soft sensors ( Jung et al, 2020 ; Chen et al, 2021c ; Gao et al, 2021 ; Guan et al, 2021 ), would be included in this review in the first place, but in vain because most of them were still on the research bench from clinical studies. Moreover, we did not conduct an in-depth data synthesis on the signal processing techniques, which warranted another technical review.…”

Section: Discussionmentioning

confidence: 99%

Computer-aided screening of aspiration risks in dysphagia with wearable technology: a Systematic Review and meta-analysis on test accuracy

Lai

Cheng

Lim

et al. 2023

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

Aspiration caused by dysphagia is a prevalent problem that causes serious health consequences and even death. Traditional diagnostic instruments could induce pain, discomfort, nausea, and radiation exposure. The emergence of wearable technology with computer-aided screening might facilitate continuous or frequent assessments to prompt early and effective management. The objectives of this review are to summarize these systems to identify aspiration risks in dysphagic individuals and inquire about their accuracy. Two authors independently searched electronic databases, including CINAHL, Embase, IEEE Xplore® Digital Library, PubMed, Scopus, and Web of Science (PROSPERO reference number: CRD42023408960). The risk of bias and applicability were assessed using QUADAS-2. Nine (n = 9) articles applied accelerometers and/or acoustic devices to identify aspiration risks in patients with neurodegenerative problems (e.g., dementia, Alzheimer’s disease), neurogenic problems (e.g., stroke, brain injury), in addition to some children with congenital abnormalities, using videofluoroscopic swallowing study (VFSS) or fiberoptic endoscopic evaluation of swallowing (FEES) as the reference standard. All studies employed a traditional machine learning approach with a feature extraction process. Support vector machine (SVM) was the most famous machine learning model used. A meta-analysis was conducted to evaluate the classification accuracy and identify risky swallows. Nevertheless, we decided not to conclude the meta-analysis findings (pooled diagnostic odds ratio: 21.5, 95% CI, 2.7–173.6) because studies had unique methodological characteristics and major differences in the set of parameters/thresholds, in addition to the substantial heterogeneity and variations, with sensitivity levels ranging from 21.7% to 90.0% between studies. Small sample sizes could be a critical problem in existing studies (median = 34.5, range 18–449), especially for machine learning models. Only two out of the nine studies had an optimized model with sensitivity over 90%. There is a need to enlarge the sample size for better generalizability and optimize signal processing, segmentation, feature extraction, classifiers, and their combinations to improve the assessment performance.Systematic Review Registration: (https://www.crd.york.ac.uk/prospero/), identifier (CRD42023408960).

show abstract

Section: Discussionmentioning

confidence: 99%

Computer-aided screening of aspiration risks in dysphagia with wearable technology: a Systematic Review and meta-analysis on test accuracy

Lai

Cheng

Lim

et al. 2023

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

show abstract

“…Since the sensor can reach a sensitivity of 0.35kPa −1 in the pressure range of 0-2.5 kPa, the output signal is observed to change 16 times periodically in 1 min, which is consistent with the normal respiratory rate and could be used to assess the health status of the patient. [13] There are also flexible sensors with ultra-sensitive sensing properties, which can detect very subtle stimulus and could be placed at the mouth, nose, or inside a medical mask to determine the state of psychological movement by detecting the change in gas force during breathing. [106] The sensor can display significant peaks in the pressure signal generated by normal breathing, rapid nasal breathing, and rapid oral breathing.…”

Section: Applicationsmentioning

confidence: 99%

“…Since the sensor can reach a sensitivity of 0.35kPa −1 in the pressure range of 0–2.5 kPa, the output signal is observed to change 16 times periodically in 1 min, which is consistent with the normal respiratory rate and could be used to assess the health status of the patient. [ 13 ]…”

Section: Applicationsmentioning

confidence: 99%

“…Chemical sensors focus on detecting the concentration of pathological and metabolic related volatile organic compounds (VOCs) [7] such as NO 2 , [8] NH 3 [9,10] exhaled from the mouth and nose to assist in determining the degree of disease progression and to order treatment once the concentration of these gases has reached a certain level. Physical sensor can be placed on the throat, [7,11] chest, [12] abdomen [13] to monitor human health and safety movement by calculating the patient's respiratory rate, respiratory depth, respiratory index, and other indicators through the degree of local strain on the skin caused by breathing. In addition, there is a high-sensitivity sensor that can be placed at the mouth or nose to monitor the patient's respiratory rate [14,15] by detecting the pressure change generated by exhaled gas blowing into the sensor, as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Non‐Invasive Flexible Electro‐Mechanical Sensors for Human Respiratory Monitoring and Chronic Disease Management

Liu,

Wang,

Chen

et al. 2024

Adv Materials Technologies

View full text Add to dashboard Cite

As one of the important physiological signals of the human body, changes in respiration can provide an important reference for human health and is an early warning signal for some chronic respiratory diseases on heart or lung diseases. Usually, doctors combine such changes with electrocardiograph (ECG), electroencephalograph (EEG), electromyography (EMG), and electrooculogram (EOG) results of the patient to make a comprehensive analysis and judgment of the condition. Traditional respiratory monitoring methods have the limitation that portability and accuracy cannot be balanced; while the wearable respiratory monitoring sensors have come into the public's view due to their excellent performances, such as light weight, fast response, not interfering with the subject's daily movement, and maintaining excellent measurement accuracy, which provide more possibilities for the improvement of the performances of the wearable devices applied in the early stage of chronic diseases.

show abstract

“…Because of their good flexibility, high sensitivity, and low cost, flexible pressure sensors have been applied in flexible electronic skin, wearable health-monitoring devices, human motion state detection, prosthetic hands, human–computer interaction, etc. [ 6 , 7 , 8 , 9 , 10 ]. Compared with other sensors, flexible capacitive pressure sensors have received more attention due to their simple structure, high sensitivity, rapid dynamic response, and excellent stability [ 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Flexible Capacitive Pressure Sensor Based on a Double-Sided Microstructure Porous Dielectric Layer

Zhang²

2022

Micromachines

View full text Add to dashboard Cite

In the era of intelligent sensing, there is a huge demand for flexible pressure sensors. High sensitivity is the primary requirement for flexible pressure sensors, whereas pressure response range and resolution, which are also key parameters of sensors, are often ignored, resulting in limited applications of flexible pressure sensors. This paper reports a flexible capacitive pressure sensor based on a double-sided microstructure porous dielectric layer. First, a porous structure was developed in the polymer dielectric layer consisting of silicon rubber (SR)/NaCl/carbon black (CB) using the dissolution method, and then hemisphere microstructures were developed on both sides of the layer by adopting the template method. The synergistic effect of the hemispheric surface microstructure and porous internal structure improves the deformability of the dielectric layer, thus achieving high sensitivity (3.15 kPa−1), wide response range (0–200 kPa), and high resolution (i.e., the minimum pressure detected was 27 Pa). The proposed sensing unit and its array have been demonstrated to be effective in large-area pressure sensing and object recognition. The flexible capacitive pressure sensor developed in this paper is highly promising in applications of robot skin and intelligent prosthetic hands.

show abstract

Flexible Pressure Sensor Based on Molybdenum Diselide/Multi-Walled Carbon Nanotubes for Human Motion Detection

Cited by 17 publications

References 46 publications

Computer-aided screening of aspiration risks in dysphagia with wearable technology: a Systematic Review and meta-analysis on test accuracy

Computer-aided screening of aspiration risks in dysphagia with wearable technology: a Systematic Review and meta-analysis on test accuracy

Non‐Invasive Flexible Electro‐Mechanical Sensors for Human Respiratory Monitoring and Chronic Disease Management

Flexible Capacitive Pressure Sensor Based on a Double-Sided Microstructure Porous Dielectric Layer

Contact Info

Product

Resources

About