Citizens’ Juries: When Older Adults Deliberate on the Benefits and Risks of Smart Health and Smart Homes

open access articleBackground: Technology-enabled healthcare or smart health has provided a wealth of products and services to enable older people to monitor and manage their own health conditions at home, thereby maintaining independence, whilst also reducing healthcare costs. However, despite the growing ubiquity of smart health, innovations are often technically driven, and the older user does not often have input into design. The purpose of the current study was to facilitate a debate about the positive and negative perceptions and attitudes towards digital health technologies. Methods: We conducted citizens’ juries to enable a deliberative inquiry into the benefits and risks of smart health technologies and systems. Transcriptions of group discussions were interpreted from a perspective of life-worlds versus systems-worlds. Results: Twenty-three participants of diverse demographics contributed to the debate. Views of older people were felt to be frequently ignored by organisations implementing systems and technologies. Participants demonstrated diverse levels of digital literacy and a range of concerns about misuse of technology. Conclusion: Our interpretation contrasted the life-world of experiences, hopes, and fears with the systems-world of surveillance, e ciencies, and risks. This interpretation o ers new perspectives on involving older people in co-design and governance of smart health and smart homes

Vital Decisions

Presents findings from surveys conducted in 2001 and 2002. Looks at how Internet users make decisions about what online health information to trust. Includes a guide from the Medical Library Association about smart health-search strategies

Smart Health Internet of Thing for Continuous Glucose Monitoring: a Survey

Health monitoring system allows patients to monitor the health-related problem to avoid further complications which could result in loss of life. Smart health is one of the categories of a health monitoring system that uses Smartphone’s and sensors to effectively monitor patient health status. However, the smart health internet of thing methods for glucose monitoring still does not provide accurate glucose reading. Hence, diabetes patient can easily loss life. To help understand this challenge, a comprehensive survey focused on smart health internet of thing methods for continuous glucose monitoring was conducted. The paper discusses the benefit and challenge of each method applicable to glucose monitoring. It was observed that several smart health methods required sensor to function. Smart vehicles and remote monitoring have less attention. However, when accommodates can provide future opportunities

Intermittent Continuance of Smart Health Devices: A Zone-of-Tolerance Perspective

Smart health and wearable devices have recently received widespread attention from practitioners and scholars. However, intermittent continuance behavior of users is considered to be one of the most important reasons hindering the development of smart health. To address this issue, the current study employs the zone-of-tolerance theory to explore the mechanisms through which intermittent continuance is evoked. In particular, this study develops two new constructs (i.e., performance superiority and performance adequacy), and proposes that they affect intermittent continuance via satisfaction and neutral satisfaction, respectively. Results demonstrated that the effects of the two new variables on intermittent continuance of smart health devices had been fully mediated. This study concludes with theoretical and practical implications

IoT smart health security threats

The Internet of things (IoT) is an active area in the current research community due to the improvement in mobile computing and wireless networks. Currently, the IoT is involved in many fields like smart cities, smart health monitoring, smart tracking, and smart factory; therefore, it is introducing new research opportunities and industrial revolutions. Smart health, in particular, is very important and trendy domain for researchers and practitioners due to its continuous monitoring of health of patients. The objective of smart health is to provide medical facilities to patients at anytime and anywhere. The smart health monitoring systems are mostly connected with the wireless network medium that is extremely vulnerable for threats. However various attacks are observed that can endanger these health monitoring applications and systems. These attacks include Denial of Service (DoS) Attack, Fingerprint and Timing-based Snooping, Router Attack, Select and Forwarding attack, Sensor attack and Replay Attack. In this paper, we discuss these attacks with their impact on health monitoring systems with some suggestive measures from our research findings

DESAIN PEMBUATAN MODUL KIT ECG, EOG, EMG, SUHU TUBUH DAN RESPIRASI UNTUK ARDUINO UNO

Dokter ahli yang memonitoring suatu organ tubuh tidak lepas pada suatu teknologi biomedis, salah satu contoh yang dapat di monitoring oleh dokter ahli adalah jantunng, otot, system pernapasan, dll.Jantung adalah organ yang paling penting dalam tubuh yang berfungsi untuk memompa dan menerima darah ke seluruh tubuh yang bekerja secara terus menerus.Pergerakan jantung dapat di monitoring dengan Elektrokardiograf. Otot adalah lapisan yang terdapat pada tulang berfungsi sebagai penggerak Sensor-sensor yang menunjang untuk membantu alat biomedis pun semakin banyak, tetapi alat yang bisa membaca suatu sensor itu kebanyakan di buat untuk membaca 1 sensor saja, Maka dari itu penulis membuat suatu alat untuk membaca banyak sensor yang digunakan pada sensor biomedis yaitu smart-health. Smart-health adalah alat yang dapat membaca sensor-sensor biomedis seperti Elektrodiagraphy (ECG), Elektromiografi (EMG), Elektrooculograpy (EOG), suhu tubuh, Respirasi. Smart-health merupakan sebagai penguat signal dan mengfilter signal noise yang terdapat di sensor biomedis. Smart-health dapat terkoneksi langsung pada arduino dan dapat di coding langsung dengan arduino. Suatu tranducer yang terdapat elektroda pada sensor dapat dihubungkan pada smart-health dan dihubungkan pada arduino untuk di beri program, keluaran dari arduino berupa data-data yang nantinya akan dihubungkan pada osiloskop untuk melihat data menjadi sinyal data. Hasil dari perancangan hampir sesuai dengan yang diharapkan, namun masih terdapat ketidaksesuaian pada beberapa bagian sensor, salah satunya pada perancangan filter dan penguat.Pada suatu sensor EKG tegangan yang dihasilkan sudah sesuai dengan yang diharapkan yaitu 0- 4 Volt, mengalami penggeseran sedikit 0.2 volt sehinggga yang diperoleh 4.2 volt.Pada sensor EOG tegangan yang dihasilkan yaitu 3.6 volt mengalami penggeseran 0.6 volt.Pada sensor EMG tegangan yang dihasilkan yaitu 5 volt. Pada sensor respirasi tegangan yang dihasilkan adalah 2,3 volt mengalami pergerseran 0,3 volt. Pada setiap sensor mengalami pergeseran tegangan dikarenakan komponen elektronika ada toleransi kesalahan yang mengakibatkan hasil yang diharapkan mengalami pergeseran tegangan. Key: sensor ECG, EMG, EOG, Respirasi, Smart-health