Smart bed based daytime behavior prediction in Children with autism spectrum disorder - A Pilot Study

Alivar, Alaleh; Carlson, Charles; Suliman, Ahmad; Warren, Steve; Prakash, Punit; Thompson, David E.; Natarajan, Balasubramaniam

doi:10.1016/j.medengphy.2020.07.004

Cited by 12 publications

(10 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The third symptom is that patients with ASD lack empathy, this is characterized by the patient not responding to events experienced by others. The last symptom in this variable is the lack of social and emotional connection to the surroundings [24]. Social Communication.…”

Section: Asd (Autism Spectrum Disorder)mentioning

confidence: 99%

Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis

Wanti¹,

Puspitasari

2022

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

Diagnosis of autism spectrum disorder (ASD) can use a fuzzy inference system. The use of fuzzy logic method to obtain ASD diagnosis results according to experts based on the limits of factors/symptoms of the disease and all the rules obtained from experts. Recommendations for therapy and preventive actions can be given by experts after knowing the results of the diagnosis of ASD using the fuzzy logic method. This study serves to diagnose ASD by optimizing each degree of membership in the fuzzy logic method with the Mamdani method approach which is involved in the autism detection process involving 96 patient data. The Mamdani method itself can process an uncertain value from the user/patient into a definite value whose membership degree can be determined and adjusted to the conditions of the problem. Optimization was carried out on the degree of membership for all variables involved in the process of diagnosing ASD, namely social interaction, social communication and imagination and behavior patterns. The results of this study indicate a relatively small level of fuzzy calculation error with a precision value of 94.4%, a recall precision value of 65.4% and an error rate value of 3.05%. Calculation of accuracy shows a result of 90.59%.

show abstract

Section: Asd (Autism Spectrum Disorder)mentioning

confidence: 99%

Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis

Wanti¹,

Puspitasari

2022

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

show abstract

“…In addition, BCG is a non-invasive and comfortable procedure for the patient that helps reduce the stress caused by other medical equipment, such as an electrocardiograph [5]. Numerous recent studies have been reported where a variety of sensors has been applied to the recording of BCG curves, including piezoelectric polyvinylidene fluoride (PVDF) [6,7], electromechanical film (EMFi) [8,9], pneumatic-and hydraulic-based sensors [10][11][12], strain-gauges-based sensors [13,14], and fiber-optic-based sensors [15,16], among others.…”

Section: Description Of the Systemmentioning

confidence: 99%

“…Numerous recent studies have been reported where a variety of sensors has been applied to the recording of BCG curves, including piezoelectric polyvinylidene fluoride (PVDF) [6,7], electromechanical film (EMFi) [8,9], pneumatic-and hydraulic-based sensors [10][11][12], strain-gauges-based sensors [13,14], and fiber-optic-based sensors [15,16], among others.…”

Section: Introductionmentioning

confidence: 99%

Digital Optical Ballistocardiographic System for Activity, Heart Rate, and Breath Rate Determination during Sleep

López-Ruiz

Escobedo

Ruiz-García

et al. 2022

Sensors

View full text Add to dashboard Cite

In this work, we present a ballistocardiographic (BCG) system for the determination of heart and breath rates and activity of a user lying in bed. Our primary goal was to simplify the analog and digital processing usually required in these kinds of systems while retaining high performance. A novel sensing approach is proposed consisting of a white LED facing a digital light detector. This detector provides precise measurements of the variations of the light intensity of the incident light due to the vibrations of the bed produced by the subject’s breathing, heartbeat, or activity. Four small springs, acting as a bandpass filter, connect the boards where the LED and the detector are mounted. Owing to the mechanical bandpass filtering caused by the compressed springs, the proposed system generates a BCG signal that reflects the main frequencies of the heartbeat, breathing, and movement of the lying subject. Without requiring any analog signal processing, this device continuously transmits the measurements to a microcontroller through a two-wire communication protocol, where they are processed to provide an estimation of the parameters of interest in configurable time intervals. The final information of interest is wirelessly sent to the user’s smartphone by means of a Bluetooth connection. For evaluation purposes, the proposed system has been compared with typical BCG systems showing excellent performance for different subject positions. Moreover, applied postprocessing methods have shown good behavior for information separation from a single-channel signal. Therefore, the determination of the heart rate, breathing rate, and activity of the patient is achieved through a highly simplified signal processing without any need for analog signal conditioning.

show abstract

“…The research conducted by Zhao et al [82] proposed to use BCG information to calculate heart rate variation index and determine sleep apnea syndrome. In addition, BCG/SCG technology can also produce a positive guiding effect on the patients with depression, for example, Alivar's [87] team used a smart bed to monitor the sleep quality of a group of children suffering from depression, analyze their sleep quality, timely intervene in their abnormal physical status, and alleviate the risk of disease deterioration.…”

Section: Application Of Scg In Diagnosis and Rehabilitation Of Coronary Artery Disease E M I Johnson (2020) [67]mentioning

confidence: 99%

The Latest Progress and Development Trend in the Research of Ballistocardiography (BCG) and Seismocardiogram (SCG) in the Field of Health Care

Han

Wang

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

The current status of the research of Ballistocardiography (BCG) and Seismocardiogram (SCG) in the field of medical treatment, health care and nursing was analyzed systematically, and the important direction in the research was explored, to provide reference for the relevant researches. This study, based on two large databases, CNKI and PubMed, used the bibliometric analysis method to review the existing documents in the past 20 years, and made analyses on the literature of BCG and SCG for their annual changes, main countries/regions, types of research, frequently-used subject words, and important research subjects. The results show that the developed countries have taken a leading position in the researches in this field, and have made breakthroughs in some subjects, but their research results have been mainly gained in the area of research and development of the technologies, and very few have been actually industrialized into commodities. This means that in the future the researchers should focus on the transformation of BCG and SCG technologies into commercialized products, and set up quantitative health assessment models, so as to become the daily tools for people to monitor their health status and manage their own health, and as the main approaches of improving the quality of life and preventing diseases for individuals.

show abstract

Smart bed based daytime behavior prediction in Children with autism spectrum disorder - A Pilot Study

Cited by 12 publications

References 41 publications

Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis

Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis

Digital Optical Ballistocardiographic System for Activity, Heart Rate, and Breath Rate Determination during Sleep

The Latest Progress and Development Trend in the Research of Ballistocardiography (BCG) and Seismocardiogram (SCG) in the Field of Health Care

Contact Info

Product

Resources

About