Technologies for an Autonomous Wireless Home Healthcare System

Ho, Coral; Michael, Mark; Koplow, Mike; Miller, Lindsay M.; Chen, Alic; Reilly, Elizabeth; Rabaey, Jan M.; Evans, Jim; Wright, Paul K.

doi:10.1109/bsn.2009.50

Cited by 12 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 50-couple prototype presented in this work produced 10.5 μW for a 20 K temperature difference, yielding a cross-sectional areal power density of 75 μW cm −2 . This is well suited to scale for many low-power residential, industrial and medical wireless sensor applications [8,[30][31][32][33][34][35]. The modeling suggests that a device with current material properties is capable of achieving a power density of 109 μW cm −2 given negligible contact resistance.…”

Section: Discussionmentioning

confidence: 99%

Dispenser-printed planar thick-film thermoelectric energy generators

Chen

Madan

Wright

2011

J. Micromech. Microeng.

146

113

View full text Add to dashboard Cite

This work presents advancements in dispenser-printed thick film thermoelectric materials for the fabrication of planar and printable thermoelectric energy generators. The thermoelectric properties of the printed thermoelectric materials were measured as a function of temperature. The maximum dimensionless figures of merit (ZTs) at 302 K for the n-type Bi 2 Te 3-epoxy composite and the p-type Sb 2 Te 3-epoxy composite are 0.18 and 0.19, respectively. A 50-couple prototype with 5 mm × 640 μm × 90 μm printed element dimensions was fabricated on a polyimide substrate with evaporated metal contacts. The prototype device produced a power output of 10.5 μW at 61.3 μA and 171.6 mV for a temperature difference of 20 K resulting in a device areal power density of 75 μW cm −2 .

show abstract

Section: Discussionmentioning

confidence: 99%

Dispenser-printed planar thick-film thermoelectric energy generators

Chen

Madan

Wright

2011

J. Micromech. Microeng.

146

113

View full text Add to dashboard Cite

show abstract

“…The tailoring of the performance of an energy storage device is highly customized for the relative disparity in input power from the energy harvester and the power demand to operate the device. Since this disparity is contingent on the harvester's energy conversion capability, environmental calibration and the microdevice activity, the energy storage capacity and performance necessary for a permanent micropower supply can vary widely; it has been estimated that for typical applications such as temperature or occupancy sensing within an office building [9], body sensors [10] or industrial equipment monitoring [11], a battery of small footprint area (<1 cm 2 ) will need to provide 1-10 mA h cm −2 storage capacity [5,6].…”

Section: Introductionmentioning

confidence: 99%

Direct write dispenser printing of a zinc microbattery with an ionic liquid gel electrolyte

Evans

Wright

2010

J. Micromech. Microeng.

136

110

View full text Add to dashboard Cite

The need for energy dense microbatteries with miniature dimensions has prompted the development of unconventional materials, cell geometries, and processing methods. This work will highlight our materials investigations, deposition methods and the device performance of a printed zinc-manganese dioxide rechargeable microbattery utilizing an ionic liquid gel electrolyte. We have developed a direct write dispenser printing method with the ability to fabricate multilayer structures and precisely deposit and pattern these components onto any substrates. The use of a unique room-temperature ionic liquid swelled into a polymer to form a gel electrolyte with solid-like mechanical strength and liquid-like ion transport properties has enabled the simple fabrication of stacked microbattery structures with the potential to be easily integrated directly onto a microdevice substrate. Initial microbattery tests and cycle behavior are discussed, and after an initial activation of the cathode material, an experimental cell discharge capacity and energy density of 0.98 mA h cm −2 and 1.2 mW h cm −2 were measured, respectively.

show abstract

“…Furthermore, such a wearable system is needed to contribute to a clinical diagnostic method remaining easy and practical. Currently developed platforms, presented for example in [3], [4], [5], are promising approaches to such wearable solutions. A current challenge in the management and the assessment of medical therapy and rehabilitation training is the quantitative evaluation of spasticity, associated with the upper motor neuron syndrome (UMNS).…”

Section: Introductionmentioning

confidence: 99%

Body sensor network-based spasticity detection

Misgeld¹,

Lueken²,

Kim³

et al. 2014

Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare Thro

View full text Add to dashboard Cite

Spasticity is a common disorder of the skeletal muscle with a high incidence in industrialised countries, occurring for example after multiple sclerosis or stroke and is associated with brain or spinal cord damage. A quantitative measure of spasticity using body-worn sensors is desirable in order to assess rehabilitative motor training and prevent damage, induced by the externally applied forces or torques from the movement support system. In this contribution we present a new approach to spasticity detection using the Integrated Posture and Activity NEtwork by Medit Aachen (IPANEMA) body sensor network (BSN). Towards this goal, a new electromyography (EMG)-sensor node is developed and employed in human locomotion. Following an analysis of clinical walking data of hemiplegic patients, a novel algorithm is developed based on the idea to detect co-activation of antagonistic muscle groups as observed in the exaggerated stretch reflex with associated limb or joint rigidity. The algorithm is subsequently employed in real walking tests conducted with the IPANEMA BSN showing good detection performance. We furthermore introduce a measure for the spasticity severity based on energy considerations of the recorded EMG signals.

show abstract

Technologies for an Autonomous Wireless Home Healthcare System

Cited by 12 publications

References 18 publications

Dispenser-printed planar thick-film thermoelectric energy generators

Dispenser-printed planar thick-film thermoelectric energy generators

Direct write dispenser printing of a zinc microbattery with an ionic liquid gel electrolyte

Body sensor network-based spasticity detection

Contact Info

Product

Resources

About