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Artículos de revistas sobre el tema "Best Apple Watch for Seniors"

Autor: Grafiati

Publicado: 25 de julio de 2024

Última modificación: 31 de julio de 2025

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1

Hu, Xiangyu, Hongpeng Yang, James White, et al. "0280 Unlocking the Potential of Consumer Wearables for Predicting Sleep in Children: A Device-Agnostic Machine Learning Approach." SLEEP 46, Supplement_1 (2023): A124—A125. http://dx.doi.org/10.1093/sleep/zsad077.0280.

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Abstract Introduction Consumer wearables use accelerometry and heart rate to predict sleep, the same data signals used by research-grade devices to classify sleep/wake patterns. However, metrics predicted by consumer wearables are based on black box algorithms limiting their use in research. The objective of this study was to develop algorithms for predicting sleep in children based on the raw accelerometry and heart rate data from a popular consumer wearable device, therefore bypassing the onboard black box algorithms. Methods 38 children (M=8.5 years, SD=2.4, 42% black, 61% male) underwent o

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Fernandez, Olivia, Logan Long, Arvind Mallikarjunan, Abhinav Gundala, and Nirmish Shah. "Use of Apple Watch to Acquire Baseline Wearable Biometric Data for Patients with Sickle Cell Disease and Correlations to Symptoms Such As Pain and Fatigue." Blood 142, Supplement 1 (2023): 5290. http://dx.doi.org/10.1182/blood-2023-188096.

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Background: Sickle cell disease (SCD) is an inherited blood disorder that impacts the structure of red blood cells. The most common complication of SCD are vaso-occlusive crises (VOCs), commonly called pain crisis. Frequency and intensity of VOCs can differ among individuals. The unpredictable nature of VOCs increases risk of further complications, limits daily activities, affects mental well-being, and decreases health related quality of life. The use of mHealth and wearables for those living with SCD allows the opportunity to better understand pain and general wellbeing through real time dat

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Weidlich, Simon, Diego Mannhart, Teodor Serban, et al. "Accuracy in detecting atrial fibrillation in single-lead ECGs: an online survey comparing the influence of clinical expertise and smart devices." Swiss Medical Weekly 153, no. 9 (2023): 40096. http://dx.doi.org/10.57187/smw.2023.40096.

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BACKGROUND: Manual interpretation of single-lead ECGs (SL-ECGs) is often required to confirm a diagnosis of atrial fibrillation. However accuracy in detecting atrial fibrillation via SL-ECGs may vary according to clinical expertise and choice of smart device. AIMS: To compare the accuracy of cardiologists, internal medicine residents and medical students in detecting atrial fibrillation via SL-ECGs from five different smart devices (Apple Watch, Fitbit Sense, KardiaMobile, Samsung Galaxy Watch, Withings ScanWatch). Participants were also asked to assess the quality and readability of SL-ECGs.

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Cajal, Diego, David Hernando, Jesús Lázaro, Pablo Laguna, Eduardo Gil, and Raquel Bailón. "Effects of Missing Data on Heart Rate Variability Metrics." Sensors 22, no. 15 (2022): 5774. http://dx.doi.org/10.3390/s22155774.

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Heart rate variability (HRV) has been studied for decades in clinical environments. Currently, the exponential growth of wearable devices in health monitoring is leading to new challenges that need to be solved. These devices have relatively poor signal quality and are affected by numerous motion artifacts, with data loss being the main stumbling block for their use in HRV analysis. In the present paper, it is shown how data loss affects HRV metrics in the time domain and frequency domain and Poincaré plots. A gap-filling method is proposed and compared to other existing approaches to alleviat

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Zhai, Bing, Yu Guan, Michael Catt, and Thomas Plötz. "Ubi-SleepNet." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (2021): 1–33. http://dx.doi.org/10.1145/3494961.

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Sleep is a fundamental physiological process that is essential for sustaining a healthy body and mind. The gold standard for clinical sleep monitoring is polysomnography(PSG), based on which sleep can be categorized into five stages, including wake/rapid eye movement sleep (REM sleep)/Non-REM sleep 1 (N1)/Non-REM sleep 2 (N2)/Non-REM sleep 3 (N3). However, PSG is expensive, burdensome and not suitable for daily use. For long-term sleep monitoring, ubiquitous sensing may be a solution. Most recently, cardiac and movement sensing has become popular in classifying three-stage sleep, since both mo

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Chong, Kimberly P. L., Julia Z. Guo, Xiaomeng Deng, and Benjamin K. P. Woo. "Consumer Perceptions of Wearable Technology Devices: Retrospective Review and Analysis." JMIR mHealth and uHealth 8, no. 4 (2020): e17544. http://dx.doi.org/10.2196/17544.

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Background Individuals of all ages are becoming more health conscious, and wearable technology devices (eg, Fitbit and Apple Watch) are becoming increasingly popular in encouraging healthy lifestyles. Objective The aim of this paper was to explore how consumers use wearable devices. Methods A retrospective review was done on the top-rated verified purchase reviews of the Fitbit One posted on Amazon.com between January 2014 and August 2018. Relevant themes were identified by qualitatively analyzing open-ended reviews. Results On retrieval, there were 9369 reviews with 7706 positive reviews and

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De Freitas, Francelise, Eduardo Leal-Conceição, and Mirna Wetters Portuguez. "Validação do instrumento “teste seu cérebro” para idosos: versão para Ipad." Scientia Medica 29, no. 4 (2019): 32973. http://dx.doi.org/10.15448/1980-6108.2019.4.32973.

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AIMS: Validate the application for iPad (Apple, California, USA) “Teste seu Cérebro” as well as establish cutoff point between normal seniors and Mild Neurocognitive Impairment.METHODS: In a prospective cross-sectional study, elderly subjects who attended the neuropsychology clinic of a tertiary health hospital in the southern region of Brazil and the community in general underwent cognitive assessment using two instruments: the Montreal Cognitive Assessment (Gold Standard Test) and the “Teste seu Cérebro”. These results served as a parameter to validate the said application from a diagnostic

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Vuong, Caroline, Kumar Utkarsh, Rebecca Stojancic, et al. "Use of Machine Learning to Predict 30-Day Reutilization of Care for Patients with Sickle Cell Disease Treated for Vaso-Occlusive Crisis." Blood 142, Supplement 1 (2023): 3896. http://dx.doi.org/10.1182/blood-2023-186272.

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Background Sickle cell disease (SCD) is an inherited disorder of red blood cells affecting millions of people worldwide. SCD is characterized by recurrent episodes of severe pain attacks, also called vaso-occlusive crisis (VOC), and are the most common reason for hospitalization. Approximately 90% of the hospital admissions are for pain treatment and the hospital readmission rate is alarmingly high, as 30-50% are re-admitted within 30 days. We previously were successful in developing machine learning models to predict pain using inpatient vital signs data as well as Apple Watch data in patient

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Soysal, A., E. Golcuk, A. Atici, et al. "Detection of supraventricular arrhythmias with apple watch." European Heart Journal 44, Supplement_2 (2023). http://dx.doi.org/10.1093/eurheartj/ehad655.2949.

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Abstract Introduction With the recent developments in wearable technology, detecting arrhythmias has become much easier. Although smartwatches are commonly used to detect patients with atrial fibrillation, there is no consensus on their efficiency in detecting supraventricular tachycardias (SVT). Methods & Results Electrophysiological procedures were performed on 47 patients that have been previously documented to have SVT by a 12-lead ECG. All patients had sinus rhythm before the procedure. A narrow complex SVT which patients had at least once was induced by electrophysiological methods.

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Kumar, Rohit, and Deeksha Gupta. "Strategic Shift at Titan Watches: Will it work?" Vision: The Journal of Business Perspective, November 26, 2022, 097226292211308. http://dx.doi.org/10.1177/09722629221130866.

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This case study analyses the dilemma and strategic decision choices faced by Titan Watches (TW) regarding its growth aspirations and competitive challenges in the Indian context. The case reflects in detail the global watch industry and the competitive landscape from the company’s standpoint and highlights the journey covering more than three decades of its history. The case analysis is conducted based on secondary data gathered from various sources. The period considered to study the company and its competitive landscape is over three decades, that is, from its inception in 1984 to 2020. The

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Walch, Olivia, Yitong Huang, Daniel Forger, and Cathy Goldstein. "Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device." Sleep 42, no. 12 (2019). http://dx.doi.org/10.1093/sleep/zsz180.

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Abstract Wearable, multisensor, consumer devices that estimate sleep are now commonplace, but the algorithms used by these devices to score sleep are not open source, and the raw sensor data is rarely accessible for external use. As a result, these devices are limited in their usefulness for clinical and research applications, despite holding much promise. We used a mobile application of our own creation to collect raw acceleration data and heart rate from the Apple Watch worn by participants undergoing polysomnography, as well as during the ambulatory period preceding in lab testing. Using th

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12

Weidlich, S., D. Mannhart, T. Serban, et al. "Impact of clinical expertise and choice of wearable device on accuracy to detect atrial fibrillation via single-lead ECGs." Europace 25, Supplement_1 (2023). http://dx.doi.org/10.1093/europace/euad122.476.

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Abstract Funding Acknowledgements Type of funding sources: None. Background Manual interpretation of single-lead ECGs (SL-ECG) is often required to confirm a diagnosis of atrial fibrillation (AF). However, accuracy to detect AF via SL-ECGs may vary according to clinical expertise and choice of the wearable device. Aims To compare the accuracy to detect AF via single-lead ECG from five different wearable devices (Apple Watch, Fitbit Sense, KardiaMobile, Samsung Galaxy Watch, Withings ScanWatch) between cardiologists, internal medicine (IM) residents, and medical students. Methods In this prospe

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Alfonso, Carla, Miguel A. Garcia-Gonzalez, Eva Parrado, Jessyca Gil-Rojas, Juan Ramos-Castro, and Lluis Capdevila. "Agreement between two photoplethysmography-based wearable devices for monitoring heart rate during different physical activity situations: a new analysis methodology." Scientific Reports 12, no. 1 (2022). http://dx.doi.org/10.1038/s41598-022-18356-9.

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AbstractWearables are being increasingly used to monitor heart rate (HR). However, their usefulness for analyzing continuous HR in research or at clinical level is questionable. The aim of this study is to analyze the level of agreement between different wearables in the measurement of HR based on photoplethysmography, according to different body positions and physical activity levels, and compared to a gold-standard ECG. The proposed method measures agreement among several time scales since different wearables obtain HR at different sampling rates. Eighteen university students (10 men, 8 wome

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Hayano, Junichiro, Mine Adachi, Yutaka Murakami, Fumihiko Sasaki, and Emi Yuda. "Detection of sleep apnea using only inertial measurement unit signals from apple watch: a pilot-study with machine learning approach." Sleep and Breathing 29, no. 1 (2025). https://doi.org/10.1007/s11325-025-03255-w.

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Abstract Purpose Despite increased awareness of sleep hygiene, over 80% of sleep apnea cases remain undiagnosed, underscoring the need for accessible screening methods. This study presents a method for detecting sleep apnea using data from the Apple Watch’s inertial measurement unit (IMU). Methods An algorithm was developed to extract seismocardiographic and respiratory signals from IMU data, analyzing features such as breathing and heart rate variability, respiratory dips, and body movements. In a cohort of 61 adults undergoing polysomnography, we analyzed 52,337 30-second epochs, with 12,373

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Hirten, Robert P., Maria Suprun, Matteo Danieletto, et al. "A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort." JAMIA Open 6, no. 2 (2023). http://dx.doi.org/10.1093/jamiaopen/ooad029.

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Abstract Objective To assess whether an individual’s degree of psychological resilience can be determined from physiological metrics passively collected from a wearable device. Materials and Methods Data were analyzed in this secondary analysis of the Warrior Watch Study dataset, a prospective cohort of healthcare workers enrolled across 7 hospitals in New York City. Subjects wore an Apple Watch for the duration of their participation. Surveys were collected measuring resilience, optimism, and emotional support at baseline. Results We evaluated data from 329 subjects (mean age 37.4 years, 37.1

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Yasmin, Farah, Abdul Moeed, Mariam Adil, Saad Ur Rahman, and F. Perry Wilson. "Abstract 17046: Accuracy of Apple Watch for Detection of Atrial Fibrillation: A Systematic Review and Meta-Analysis." Circulation 148, Suppl_1 (2023). http://dx.doi.org/10.1161/circ.148.suppl_1.17046.

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Background: Apple Watch (AW) for the detection of silent atrial fibrillation (AF) has shown encouraging results due to its photoplethysmogram (PPG) sensors. However, clinical accuracy studies show varying results. To the best of our knowledge, this is the first meta-analysis conducted to ascertain the pooled sensitivity, and specificity in AF detection using the AW. Methods: PubMed, Google Scholar, and Scopus were queried till May 2023 for studies examining the accuracy of AW in AF detection. The outcomes of interest were the sensitivity and specificity of AW for the detection of AF. Sensitivi

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Schramm, D., R. Varini, A. Briosa E Gala, A. Banerjee, and T. Betts. "Comprehensive cardiac interval analysis in the WEAR-TECH study cohort by comparing the Apple Watch Series 6 against a simultaneous 12-lead ECG." European Heart Journal 45, Supplement_1 (2024). http://dx.doi.org/10.1093/eurheartj/ehae666.353.

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Abstract Background Wearable devices capable of single-lead electrocardiograms (ECGs) are becoming increasingly prevalent. Exploring their potential for screening conditions beyond atrial fibrillation presents a compelling research opportunity. Objective This study evaluates the agreement between the Apple Watch Series 6 (APW) and simultaneous 12-lead ECG (12L) recordings in measuring PR, QRS, RR, QT, and QTc intervals in a cohort of National Health Service (NHS) cardiology patients. Methods We analysed data from the WEAR-TECH study, which included 400 simultaneous recordings from the APW and

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Vuong, Caroline, Kumar Utkarsh, Rebecca Stojancic, et al. "Use of consumer wearables to monitor and predict pain in patients with sickle cell disease." Frontiers in Digital Health 5 (October 25, 2023). http://dx.doi.org/10.3389/fdgth.2023.1285207.

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BackgroundIn sickle cell disease (SCD), unpredictable episodes of acute severe pain, known as vaso-occlusive crises (VOC), disrupt school, work activities and family life and ultimately lead to multiple hospitalizations. The ability to predict VOCs would allow a timely and adequate intervention. The first step towards this ultimate goal is to use patient-friendly and accessible technology to collect relevant data that helps infer a patient's pain experience during VOC. This study aims to: (1) determine the feasibility of remotely monitoring with a consumer wearable during hospitalization for V

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Tarafder, Nemailal. "Functions and Applications of Wearable Technology - A Review." Journal of Mechatronics and Machines, June 27, 2023, 11–15. http://dx.doi.org/10.48001/jomm.2023.1111-15.

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Wearable Technology is such advice which can be worn by people and they can help to measure certain important parameters of human body such as heart beat, rhythm, quality of sleep per day and also they can identify some disease like heart disease, diabetes and cancer. Smart shirts are used for the purpose of monitoring the health and wellbeing of patients and feedback the obtained information to hub station at real-time. These are quite sensitive to pick up and record electro-signals like heart beats and movements of muscles and finally sent to healthcare providers which can monitor the vitals

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Tison, Geoffrey H., Kaiyu Hsu, Johnson T. Hsieh, et al. "Abstract 21029: Achieving High Retention in Mobile Health Research Using Design Principles Adopted From Widely Popular Consumer Mobile Apps." Circulation 136, suppl_1 (2017). http://dx.doi.org/10.1161/circ.136.suppl_1.21029.

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Introduction: While mHealth platforms can enable rapid participant recruitment, the first 5 ResearchKit apps retained less than 10% of daily participants after the first 90 days, whereas well-optimized consumer mobile apps like Instagram and Twitter retain 31% and 48%, respectively. We proposed to apply design principles from the world of consumer internet to achieve high engagement and retention in a mHealth study. Methods: We enrolled 14,011 users of Cardiogram for Apple Watch app into the Health eHeart Study, an IRB-approved study at UCSF. We applied 3 key design principles to drive engagem

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Mora-Gonzalez, Jose, Zachary R. Gould, Christopher C. Moore, et al. "A catalog of validity indices for step counting wearable technologies during treadmill walking: the CADENCE-adults study." International Journal of Behavioral Nutrition and Physical Activity 19, no. 1 (2022). http://dx.doi.org/10.1186/s12966-022-01350-9.

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Abstract Background Standardized validation indices (i.e., accuracy, bias, and precision) provide a comprehensive comparison of step counting wearable technologies. Purpose To expand a previously published child/youth catalog of validity indices to include adults (21–40, 41–60 and 61–85 years of age) assessed across a range of treadmill speeds (slow [0.8–3.2 km/h], normal [4.0–6.4 km/h], fast [7.2–8.0 km/h]) and device wear locations (ankle, thigh, waist, and wrist). Methods Two hundred fifty-eight adults (52.5 ± 18.7 years, 49.6% female) participated in this laboratory-based study and perform

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Jesse, Pinkman. "Do Animated Videos Increase Website Traffic?" December 14, 2021. https://doi.org/10.5281/zenodo.5779030.

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Remember how the internet got its start? It was just a web of text documents, and almost all of us have witnessed the internet's journey. Things have, of course, changed for the better, and the presence of images, audio, and videos is now commonplace. The changing face of the internet has had a significant impact on marketing strategies, and there is a high demand for new, informative, interactive, and cutting-edge marketing techniques. What could be better than animated videos? There are many Best Colleges for animation in india. Animated videos are a powerful tool with the potential to h

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Hunter, John C. "Organic Interfaces; or, How Human Beings Augment Their Digital Devices." M/C Journal 16, no. 6 (2013). http://dx.doi.org/10.5204/mcj.743.

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In many ways, computers are becoming invisible and will continue to do so. When we reach into our pockets and pull out our cell phones to find a place to eat or message a friend on Facebook, we are no longer consciously aware that we are interacting with a user experience that has been consciously designed for our computer or device screen—but we are.— Andy Pratt and Jason Nunes, Interactive Design In theory, cell phones and other information and communication technologies (ICTs) are just a means for us to interact with people, businesses, and data sources. They have interfaces and, in a large

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Zuvela, Danni. "An Interview with the Makers of Value-Added Cinema." M/C Journal 6, no. 3 (2003). http://dx.doi.org/10.5204/mcj.2183.

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Things would never be the same again. As sales went through the roof, with some breathless estimates in the region of a 200% increase overnight, marketers practically wet their pants at the phenomenal success of the chocolate bar seen by millions in ET: the Extraterrestrial. That was back in 1982. Though not the first instance of product placement ‘at the movies’, the strategic placement of Reese’s Pieces in ET is often hailed as the triumphant marketing moment heralding the onset of the era of embedded advertising in popular media. Today, much media consumption is characterised by aggressive

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Kabir, Nahid, and Mark Balnaves. "Students “at Risk”: Dilemmas of Collaboration." M/C Journal 9, no. 2 (2006). http://dx.doi.org/10.5204/mcj.2601.

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Introduction I think the Privacy Act is a huge edifice to protect the minority of things that could go wrong. I’ve got a good example for you, I’m just trying to think … yeah the worst one I’ve ever seen was the Balga Youth Program where we took these students on a reward excursion all the way to Fremantle and suddenly this very alienated kid started to jump under a bus, a moving bus so the kid had to be restrained. The cops from Fremantle arrived because all the very good people in Fremantle were alarmed at these grown-ups manhandling a kid and what had happened is that DCD [Department of Com

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Kellner, Douglas. "Engaging Media Spectacle." M/C Journal 6, no. 3 (2003). http://dx.doi.org/10.5204/mcj.2202.

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In the contemporary era, media spectacle organizes and mobilizes economic life, political conflict, social interactions, culture, and everyday life. My recently published book Media Spectacle explores a profusion of developments in hi-tech culture, media-driven society, and spectacle politics. Spectacle culture involves everything from film and broadcasting to Internet cyberculture and encompasses phenomena ranging from elections to terrorism and to the media dramas of the moment. For ‘Logo’, I am accordingly sketching out briefly a terrain I probe in detail in the book from which these exampl

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