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Zeitschriftenartikel zum Thema „02a021“

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Autor: Grafiati
Veröffentlicht am 25. Juli 2024

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1

OKUNO, Shota, Satoru UMISE, Tomotaka ITO, Mizue SUZUKI und Shigeki TANI. „Gait analysis for elderly people based on measuring sole pressure and leg motion“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 1A1–02a2. http://dx.doi.org/10.1299/jsmermd.2016.1a1-02a2.

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NARUKI, Kazuki, Toshikazu KAWAI, Atsushi NISHIKAWA, Yuji NISHIZAWA und Tatsuo NAKAMURA. „Proposal for Endoscope Robot with Surgical Scene Recognition using Image Processing“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 1A2–02a1. http://dx.doi.org/10.1299/jsmermd.2016.1a2-02a1.

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SHIMOKAWA, Wataru, und Masayoshi WADA. „Study on the Front Parking Assist System for W elfare Vehicle Ridden from the Back Door“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 1P1–02a1. http://dx.doi.org/10.1299/jsmermd.2016.1p1-02a1.

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KIKUCHI, Takehito, Kohei SAKAI und Isao ABE. „Development of Bio-inspired Knee Joint for Power Assist Suit & Evaluation of Its Basic Performance“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 1P1–02a2. http://dx.doi.org/10.1299/jsmermd.2016.1p1-02a2.

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5

KOYANO, Mika, Housei HARA und Yuichi NAKAZATO. „Research and development of the water pressure system power assist suit using a syringe and a bellows“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2A1–02a1. http://dx.doi.org/10.1299/jsmermd.2016.2a1-02a1.

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KOBAYASHI, Kota, Yuki UEDA und Chiharu ISHII. „Development of Tactile Feeling Feedback Device Based on Vibration for a Myoelectric Prosthetic Hand“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2A1–02a2. http://dx.doi.org/10.1299/jsmermd.2016.2a1-02a2.

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7

TRAN, DINH PHAP, Daiki MORITA, Yoshifumi MORITA, Noritaka SATO und Makoto TAKEKAWA. „Improvement of noninvasive semi-automatic test device of range of motion of finger joints for reducing therapist's burden“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2A2–02a1. http://dx.doi.org/10.1299/jsmermd.2016.2a2-02a1.

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8

WANG, Chengyu, Shintaro NAKATANI, Nozomu Araki, Yasuo KONISHI und Kunihiko MABUCHI. „Development of a Wire Driven Elbow Exercise Device for Upper Limb Rehabilitation“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2A2–02a2. http://dx.doi.org/10.1299/jsmermd.2016.2a2-02a2.

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9

SHIMA, Keisuke, Kazuki YOKOYAMA und Koji SHIMATANI. „EMG-Based HumanHuman Interface Using Functional Electrical Stimulation“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2P1–02a1. http://dx.doi.org/10.1299/jsmermd.2016.2p1-02a1.

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10

HIGUMA, Tomohito, Masanori KANAZAWA, Kazuo KIGUCHI und Jumpei ARATA. „Forearm Exoskeleton Device for Motion Support with a Soft Wrist Joint using Parallel Springs“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2P1–02a2. http://dx.doi.org/10.1299/jsmermd.2016.2p1-02a2.

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11

Shimosaka, Masamichi, Kohei Watanabe, Osamu Saisho, Kei Akimoto, Tatsuya Konishi und Takeshi Tsukiji. „Human Activity Recognition in Home Using Smartwatch and Wattmeter“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2P2–02a1. http://dx.doi.org/10.1299/jsmermd.2016.2p2-02a1.

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12

OSADA, Takuya, Takuo SUZUKI und Yasushi NAKAUCHI. „Intelligent Medicine Cup that Supports Correct Dosing Medicine Instructions“. Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2P2–02a2. http://dx.doi.org/10.1299/jsmermd.2016.2p2-02a2.

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13

Rastogi, Ruchi, Danny Greig, Ian Johnston, Chandra Miryala, Poonam Mishra, Lili Zhao, M. Safwan Badr und Susmita Chowdhuri. „0467 Effect of Hypoxia on Ventilatory Responsiveness in Opioid-Related Sleep Disordered Breathing“. SLEEP 47, Supplement_1 (20.04.2024): A201. http://dx.doi.org/10.1093/sleep/zsae067.0467.

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Abstract Introduction Ventilatory control mechanisms mediating opioid-associated sleep disordered breathing (SDB) are unclear, with reduced hypoxic ventilatory response (HVR) observed acutely with opioids, but increased HVR with chronic methadone use. Increased chemoresponsiveness may contribute to breathing instability during sleep. Aim: Determine the effects of chronic oral prescription opioids on HVR in individuals with opioid-associated SDB. Hypothesis: Compared to controls without opioid use, individuals with chronic prescription opioids-associated SDB will have increased HVR during wakefulness. Methods We studied 5 males on prescription opioids with SDB (age: 55±15 years, BMI: 33±7 kg/m2, apnea hypopnea index (AHI): 30±24/hr; CAI 3±6/hr, morphine equivalent dose: 31±12 mg , serum opiate levels: 23±22 ng/ml), and 5 control males with SDB, not on opioids, (age: 48±11 years, BMI: 28±2 kg/m2, AHI 37±15/hr, CAI 0.2±0.5/hr; urine drug screen negative for opioids). Opioid-SDB and controls underwent multiple trials with exposure to 2-minute episodes of isocapnic hypoxia (Hypoxia PetO2: 5-7%), each trial interspersed with room air, during wakefulness. Isocapnia was maintained by bleeding in CO2. Number of hypoxia (Hx) trials: opioid-SDB: 8.2±1.3; controls 7.0±0.7. All ventilatory parameters were analyzed breath by breath. For each trial, the ventilatory parameters during hypoxic exposure were compared with the room air baseline period immediately preceding the exposure. HVR was calculated as the change in minute ventilation during nadir hypoxia compared to control breaths for a corresponding change in PetO2. Results Minute ventilation (VI) during hypoxia trial was 99.1±28.5% of baseline Vi in opioid-SDB vs. 105±16% baseline Vi in control participants. The coefficient of variation of Vi was 29% in opioid-SDB vs. 15% in control-SDB (p=0.05). Opioid-SDB: PetCO2 37±4 mmHg at baseline and 37±3 mmHg during Hx trials; Control: PetCO2 37±4 mmHg at baseline and 41±3 during Hx trials. Opioid-SDB: PetO2 100±6 mmHg at baseline and 33±6 mmHg during Hx trials; Control: PetO2 101±5 mmHg at baseline and 46±7 during Hx trials. HVR: 0.6±2.4 L/min/mmHg vs. 1.4±4.2 L/min/mmHg in opioid-SDB vs. controls. Conclusion HVR tended to be reduced in opioid-SDB vs. controls during wakefulness. There was variability in minute ventilation in opioid users. Additional studies in a larger sample are required to delineate hypoxic ventilatory responsiveness in opioid-SDB. Support (if any) VHA CSR&D:1I01CX001938-02A0
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14

Lanpher, Janell, Abby Kinens, Philomena Richard, Kenner C. Rice, Edward J. Bilsky und Glenn W. Stevenson. „Interactions between Delta and Mu Opioid Agonists in Assays of Pain‐Depressed Operant Responding and Schedule‐Controlled Rate Suppression“. FASEB Journal 31, S1 (April 2017). http://dx.doi.org/10.1096/fasebj.31.1_supplement.985.18.

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Interactions between delta and mu opioid agonists in rodents vary as a function of behavioral endpoint. Previous literature includes assessment of interactions across therapeutic (eg: antinociceptive) and side effect (eg: sedation, respiratory depression) endpoints. The present study is the first to characterize these receptor interactions using a mult‐cycle operant assay of pain‐depressed behavior as the antinociceptive measure. The selective delta agonist SNC80 (ED50 = 4.11mg/kg) and the selective mu agonist methadone (ED50 = 0.35mg/kg) both produced dose‐dependent restoration of lactic acid pain‐depressed operant responding. SNC80 (ED50 = 56.0mg/kg) and methadone (ED50 = 1.55mg/kg) also produced a dose‐dependent suppression of response rates in the operant assay in the absence of the pain‐like stimulus. Based on relative potencies in the nociceptive assay, fixed‐ratio mixtures of SNC80 and methadone (35.1:1, 11.7:1, 3.9:1) are currently being characterized in both assays. Preliminary data indicate that the 11.7:1 mixture produced additive effects in the antinociceptive assay and sub‐additive effects in the rate suppression assay, thus yielding a higher therapeutic index (TI or dose ratio) for the mixture relative to the TI of either drug alone. These results provide further evidence that delta/mu interactions depend on experimental endpoint and that assessment of these interactions utilizing an assay of pain‐depressed behavior is possible.Support or Funding InformationAR0554975‐02A1 (NIAMS) to G.W.S.
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15

Cone, Katherine, Rebecca Krivitsky, Emily Warner, Ian Imbert, Joshua Allen, Terry Henderson, Clifford J. Rosen, Edward J. Bilsky, Tamara King und Glenn W. Stevenson. „Effects of MIA‐induced osteoarthritis on hind limb weight bearing and bone biology endpoints in rats with or without access to running wheels“. FASEB Journal 30, S1 (April 2016). http://dx.doi.org/10.1096/fasebj.30.1_supplement.928.3.

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Our laboratories have been characterizing the interactions between exercise and pain‐like states in rodents. The present set of experiments characterized the effects of monosodium iodoacetate (MIA) on hind limb weight bearing in rats that were either sedentary or had access to running wheels. Rats were given intra‐articular saline or MIA (3.2 mg) into the left hind knee. Rats were divided into two groups. Group 1 had 24 hr voluntary access to running wheels for 42 consecutive days (21 days acquisition followed by 21 days post‐MIA). Group 2 had no access to running wheels. Weight bearing was measured on post‐MIA days 3, 7, and 21. In sedentary rats, MIA produced shifts onto the uninjured hind limb on PD 3, 7 only. In rats with access to running wheels, MIA produced weight asymmetry on PD 3, 7 and 21. To determine potential causal mechanisms behind the differences between sedentary and exercised rats, ex vivo microCT imaging analysis was performed to assess architectural changes to hind limb distal femur/proximal tibia and knee. Data indicated that MIA runners had greater lateral (but not medial) subchondral total volume loss relative to MIA non‐runners. Data for trabecular region are currently being analyzed. These results suggest that within the specific parameters of this study, voluntary wheel running exacerbated the effects of MIA‐induced OA on both behavioral and bone biology measures.Support or Funding InformationFunded by NIAMS/NIH grant AR054975‐02A1 to G.W.S.
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