Identi-wheez — A device for in-home diagnosis of asthma

Satat, Guy; Ramchander, Krithika; Raskar, Ramesh

doi:10.1109/embc.2016.7591696

Cited by 5 publications

(6 citation statements)

References 6 publications

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“…Although wearables have been applied for several health disorders [16], little is known about their use in allergic diseases. In asthma, a device for identifying wheeze integrates measurements from different stethoscopes into diagnostic algorithms that aid home diagnosis of asthma [17]. A lowpower device consisting of a wristband, a chest patch, and a hand-held spirometer has been developed to monitor multiple variables, including ozone levels, temperature, humidity, wheezing, and lung function.…”

Section: Wearablesmentioning

confidence: 99%

Impact Of “eHealth” in Allergic Diseases and Allergic Patients

Alvarez-Perea¹,

Sánchez-García²,

R³

et al. 2019

J Investig Allergol Clin Immunol

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The emergence of new technology enables allergists and patients to compile data and receive feedback regarding key symptoms, risk behavior, and/or management. The term "eHealth" refers to a diverse group of tools that use computerized technologies to improve both the efficacy and the efficiency of the health care industry. eHealth comprises a variety of technologies, as follows: mobile devices (mHealth) in medical care, including electronic diaries, wearable sensors, and adherence monitoring; health informatics (eg, electronic health records, computerized physician order entry, clinical decision support); telemedicine, which is the use of information and communication technologies for the management of diseases and medical education; social media platforms, and the analysis of information acquired through these platforms using "big data" technologies. In this review, we summarize the latest findings on the use of eHealth technology and the relevance of eHealth to allergic conditions. ResumenLa aparición de nuevas tecnologías conlleva para los alergólogos y los pacientes la posibilidad de recopilar datos y recibir información directa sobre los síntomas clave de las enfermedades, los comportamientos de riesgo y/o su manejo. El término "eHealth", o salud electrónica, se refiere a un grupo diverso de herramientas que utilizan tecnologías informáticas para mejorar la eficacia y la eficiencia de la industria de la salud. La "eHealth" comprende varias tecnologías, como el uso de dispositivos móviles aplicados a la salud ("mHealth"), incluyendo diarios electrónicos, sensores ponibles o monitorización de la adherencia terapéutica; la informática biomédica (por ejemplo, la historia clínica electrónica, la prescripción electrónica o los sistemas de ayuda a las decisiones clínicas); la telemedicina, que es el uso de las tecnologías de la información y la comunicación para el manejo de enfermedades y de educación sanitaria; las plataformas de redes sociales, y el análisis de la información adquirida a través de estas plataformas, usando técnicas de "big data" o inteligencia de datos. En esta revisión, resumimos la evidencia que rodea al uso de tecnologías "eHealth" y su relevancia para las enfermedades alérgicas.

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Section: Wearablesmentioning

confidence: 99%

Impact Of “eHealth” in Allergic Diseases and Allergic Patients

Alvarez-Perea¹,

Sánchez-García²,

R³

et al. 2019

J Investig Allergol Clin Immunol

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“…The domain-specific discussions of results, research gaps, and future research opportunities are presented in the domain-specific sections in Multimedia Appendix 3 [ 2 , 3 , 5 , 8 , 10 , 13 , 22 - 24 , 28 , 31 , 33 , 34 , 55 , 58 , 59 , 64 , 66 - 70 , 73 , 75 , 76 , 78 , 83 - 85 , 87 - 90 , 92 , 96 , 102 , 113 , 118 , 120 , 121 , 123 , 125 - 132 , 144 - 146 , 155 , 156 , 168 , 169 , 176 , 179 , 181 , 189 , 196 , 211 , 212 , 228 , 229 , 231 , 239 , 240 , 248 , 297 , 327 , 333 , 343 , 353 , 374 , 375 , 384 - 411 ], and the future research opportunities are summarized in…”

Section: Discussionmentioning

confidence: 99%

“…There were several ways that cough or wheeze were recorded at home, such as microphones placed in the room [22], close to the mouth [125][126][127][128][129], or at the chest or trachea [128][129][130]. Yu et al [131] used a soft stethoscope that reduced ambient sounds, and Satat et al [132] used an array of stethoscopes to allow localization of respiratory sounds. Electromyography measurements in addition to audio recordings of cough can be helpful to reduce misinterpretation of audio signals [22,133,134].…”

Section: Audiovisual Measures Domainmentioning

confidence: 99%

eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review

Kamp¹,

Hengeveld²,

Brusse-Keizer³

et al. 2023

J Med Internet Res

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Background eHealth monitoring technologies offer opportunities to more objectively assess symptoms when they appear in daily life. Asthma is the most common chronic disease in childhood with an episodic course, requiring close follow-up of pediatric asthma control to identify disease deterioration, prevent exacerbations, and enhance quality of life. eHealth technologies in pediatric asthma care show promising results regarding feasibility, acceptability, and asthma-related health outcomes. However, broad systematic evaluations of eHealth technologies in pediatric asthma are lacking. Objective The objective of this scoping review was to identify the types and applications of eHealth technologies for monitoring and treatment in pediatric asthma and explore which monitoring domains show the most relevance or potential for future research. Methods A scoping review was conducted using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A systematic and comprehensive search was performed on English papers that investigated the development, validation, or application of eHealth technologies for home monitoring or treatment of pediatric asthma in the following databases: PubMed, Cochrane Library, IEEE, Scopus, CINAHL, PsycINFO, and ACM Digital Library. Two authors independently assessed eligibility and extracted data. Data were presented by a descriptive analysis of characteristics and a narrative report for each eHealth domain. Results The review included 370 manuscripts. The following 10 monitoring domains were identified: air quality, airway inflammation markers, lung function, physical activity, sleep, audiovisual, other physiological measurements, questionnaires, medication monitoring, and digital environment (ie, digital platforms, applications, websites, and software tools to monitor or support monitoring). Rising numbers of studies were seen, and the numbers accelerated in the last few years throughout most domains, especially medication monitoring and digital environment. Limited studies (35/370, 9.5%) of multiparameter monitoring strategies, using three or more domains, were found. The number of monitoring validation studies remained stable, while development and intervention studies increased. Intervention outcomes seemed to indicate the noninferiority and potential superiority of eHealth monitoring in pediatric asthma. Conclusions This systematic scoping review provides a unique overview of eHealth pediatric asthma monitoring studies, and it revealed that eHealth research takes place throughout different monitoring domains using different approaches. The outcomes of the review showed the potency for efficacy of most monitoring domains (especially the domains of medication monitoring, lung function, and digital environment). Future studies could focus on modifying potentially relevant hospital-based diagnostics for the home setting to investigate potential beneficial effects and focus on combining home-monitoring domains to facilitate multiparameter decision-making and personalized clinical decision support.

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“…However, currently there is no equipment available for continuous monitoring of lung conditions that can provide detailed information of adventitious sounds including its location, amplitude, and frequency. Stethoscopes have been used mostly by physicians to obtain adventitious sound information and aid in the diagnosis of pulmonary disorders, since the invention of the stethoscope by Laennec in 1816 [5][6][7]. The audio obtained from the stethoscopes plays a significant role in providing vital information about the heart, lungs, and trachea (HLT) conditions [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Detection of Adventitious Sounds Critical in Diagnosing Cardiovascular and Cardiopulmonary Diseases

Zhang,

Maddipatla,

Narakathu

et al. 2023

IEEE Access

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A Multi-Channel Stethograph System (STG system) was designed and developed as an electronic auscultation system for recording heart, lung, and trachea sounds non-invasively through an acoustic sensor array. The STG system consists of 16 acoustic sensors, a signal conditioning board, and a data logger (data acquisition, wireless transmission, sound visualization). The STG system captures breath with any adventitious sound event in 16 locations simultaneously to maximize the information of the specific sound event (for example, detection of the origin of mother adventitious sound and extracting its features), when compared with a single-channel stethoscope. This system can be an efficient tool to aid doctors or physicians in analyzing the adventitious sound from respiration diseases. However, it still requires the need for an experienced doctor or physician in the diagnosis and validation of adventitious sound. This paper presents a computerized method with an intelligent algorithm for detecting various adventitious sounds that are the key characteristics of cardiopulmonary diseases (CD) and assists the doctor/physician in the continuous diagnosis of lungs, which potentially can be beneficial during the COVID-19 progression. The proposed algorithm was able to detect breath patterns using trachea sound; location of the mother adventitious event using lung sounds (14 channels); determine the type of adventitious sound by correlating lung sound with trachea sound. The algorithm consists of breath pattern detection, candidate audio selection, breath pattern extraction, and adventitious sound detection. Digital signal processing techniques such as filtering, windowing, enveloping, discrete Fourier transform, and thresholds were used for identifying and classifying the inhalation and exhalation patterns in the lung sound in an independent (automatic) and intelligent way. The auscultation diagnosis algorithm can identify and distinguish discontinuous adventitious sounds which include wheeze, rhonchi, wheeze & rhonchi, and squawk, with an accuracy of 96.9%, 95.3%, 90%, and 100%. The algorithm was able to fully utilize the advantage of the multichannel system to simultaneously detect breath patterns, types of adventitious sound, and the location of the mother adventitious event that other algorithms cannot achieve. It has the potential to aid doctors/physicians in the early detection and monitoring of any lung disorders by providing objective evidence on adventitious sounds.

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Identi-wheez — A device for in-home diagnosis of asthma

Cited by 5 publications

References 6 publications

Impact Of “eHealth” in Allergic Diseases and Allergic Patients

Impact Of “eHealth” in Allergic Diseases and Allergic Patients

eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review

Intelligent Detection of Adventitious Sounds Critical in Diagnosing Cardiovascular and Cardiopulmonary Diseases

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